Publications

Books

Handbook on Background Modeling and Foreground Detection for Video Surveillance, T. Bouwmans, F. Porikli, B.Horferlin, A. Vacavant, CRC Press, Taylor and Francis Group, 2014
Video Analytics for Business Intelligence, C. Shan, F. Porikli, T. Xiang, S. Gong, Springer, 2012

2024

F. Porikli,
Chapter: Challendes of Computer Vision Research from an Industry Perspective,
Book: Computer Vision - Challenges, Trends, and Opportunities, Editors: A.R. Ahad, U. Mahbub, M. Turk, R. Hartley, Publisher: Chapman Hall & CRC, 2024 (Book Chapter)
M. Abdar, M. Kollati, S. Kuraparthi, F. Pourpanah, D. McDuff, M. Ghavamzadeh, S. Yan, A. Mohamed, A. Khosravi, E. Cambria, F. Porikli,
A Review of Deep Learning for Video Captioning,
IEEE on Pattern Analysis and Machine Intelligence (PAMI), 2024, (Journal)
M. Naseer, S. Khan, F. Porikli, F. Khan,
Guidance Through Surrogate: Toward a Generic Diagnostic Attack,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, (Journal)
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, A. Kehtarnavaz, D. Terzopoulos,
Image Segmentation using Deep Learning,
Book Chapter, Handbook of Pattern Recognition and Computer Vision, 7th Edition, Edited by: C. H. Chen, 2024
S. Venkataramanan, A. Ghodrati, Y. Asano, F. Porikli, A. Habibian,
Skip-Attention: Improving Vision Transformers by Paying Less Attention
International Conference on Learning Representations (ICLR), 2024
A. Habibian, A. Ghodrati, N. Fathima, G. Sautiere, R. Garrepalli, F. Porikli, J. Petersen,
Clockwork Diffusion: Efficient Generation With Model-Step Distillation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
J. Jeong, H. Cai, R. Garrepalli, J. Lin, M. Hayat, F. Porikli,
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Y. Shi, M. Singh, H. Cai, F. Porikli
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
W. Cho, S. Choi, D. Das, M. Reisser, T. Kim, S. Yun, F. Porikli,
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models,
NeurIPS, 2024
S. Borse, S. Kadambi, NP Pandey, K. Bhardwaj, V. Ganapathy, S. Priyadarshi, R. Garrepalli, R. Esteves, M. Hayat, F. Porikli,
FouRA: Fourier Low Rank Adaptation,
NeurIPS, 2024
F. Farhadzadeh, Q. Hou, H. Le, A. Said, R. Rauwendaal, A. Bourd, F. Porikli,
Neural Graphics Texture Compression Supporting Random Access,
European Conference on Computer Vision (ECCV), 2024
R. Yasarla, M. Singh, H. Cai, Y. Shi, J. Jeong, Y. Zhu, S. Han, R. Garrepalli, F. Porikli,
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation,
European Conference on Computer Vision (ECCV), 2024
K. Kahatapitiya, A. Karjauv, D. Abati, F. Porikli, Y. Asano, A. Habibian,
Object-Centric Diffusion for Efficient Video Editing,
European Conference on Computer Vision (ECCV), 2024
H. Ackermann, H. Cai, M. Nagel, L. Mirvakhabova, F. Porikli,
Optimizing Attention,
16th International Workshop on Optimization for Machine Learning (OPT), in conjunction with NeurIPS, 2024
MH. Lin, M. Reddy, G. Berger, M. Sarkis, F. Porikli, N. Bi,
EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting,
Efficient and On-Device Generation Workshop (EDGE), in conjuncntion with CVPR, 2024
JM Lin, J. Jeong, H. Cai, R. Garrepalli, K. Wang, F. Porikli,
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations,
Embedded Vision Workshop (EVW), in conjuncntion with CVPR, 2024
K. Azarian, D. Das, Q. Hou, F. Porikli,
Segmentation-Free Guidance for Text-to-Image Diffusion Models,
Generative Models for Computer Vision Workshop (GCV), in conjuncntion with CVPR, 2024
MK. Singh, R. Yasarla, H. Cai, M. Lee, F. Porikli,
ToSA: Token Selective Attention for Efficient Vision Transformers,
The 3rd Workshop on Transformers for Vision (T4V), in conjuncntion with CVPR, 2024
F. Zanjani, H. Cai, Y. Zhu, L. Mirvakhabova, F. Porikli,
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding,
ICIP, 2024
F. Zanjani, H. Cai, H. Ackermann, L. Mirvakhabova, F. Porikli,
Planar Gaussian Splatting,
arXiv (conference version is coming up), 2024
A. Mercier, R. Nakhli, M. Reddy, R. Yasarla, H. Cai, F. Porikli, G. Berger,
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation,
arXiv (conference version is coming up), 2024
VS Vibashan, S. Borse, H. Park, D. Das, V. Patel, M. Hayat, F. Porikli,
PosSAM: Panoptic Open-vocabulary Segment Anything,
arXiv (conference version is coming up), 2024
R. Garrepalli, S. Mahajan, M. Hayat, F. Porikli,
DDIL: Improved Diffusion Distillation With Imitation Learning,
arXiv (conference version is coming up), 2024
Q. Hou, R. Rauwendaal, Z. Li, H. Le, F. Farhadzadeh, F. Porikli,
Sort-free Gaussian Splatting via Weighted Sum Rendering,
arXiv (conference version is coming up), 2024

2023

T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, J. Shen,
Adaptive Siamese Tracking with a Compact Latent Network,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023, (Journal)
S. Borse, M. Klingner, V. Kumar, H. Cai, A. Almuzairee, S. Yogamani, F. Porikli,
X-Align++: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation,
IAPR Journal on Machine Vision Applications (MVA), 2023, (Journal)
J. Jeong, H. Cai, R. Garrepalli, F. Porikli,
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
S. Borse, D. Das, H. Park, H. Cai, R. Garrepalli, F. Porikli,
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
M. Liu, Y. Zhu, H. Cai, S. Han, Z. Ling, F. Porikli, H. Su,
PartSLIP: Low-shot part segmentation for 3D point clouds via pretrained image-language models
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
M. Klingner, S. Borse, V. Kumar, B. Rezaei, V. Narayanan, S. Yogamani, F. Porikli,
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
M. Liu, R. Shi, K. Kuang, Y. Zhu, X. Li, S. Han, H. Cai, F. Porikli, H. Su,
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding -- Project Page
37th Conference on Neural Information Processing Systems (NeurIPS), 2023
R. Yasarla, H. Cai, J. Jeong, Y. Shi, R. Garrepalli, F. Porikli,
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation, Supplementary,
International Conference on Computer Vision (ICCV), 2023
L. Wu, R. Zhu, M. Yaldiz, Y. Zhu, H. Cai, J. Matai, F. Porikli, T. Li, M. Chandraker, R. Ramamoorthi,
FIPT: Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation,
International Conference on Computer Vision (ICCV), 2023
M. Zhu, S. Han, H. Cai, S. Borse, M.G. Jadidi, F. Porikli,
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction,
International Conference on Computer Vision (ICCV), 2023
A. Mercier, R. Erasmus, Y. Savani, M. Dhingra, F. Porikli, G. Berger,
Efficient Neural Supersampling on a Novel Gaming Dataset,
International Conference on Computer Vision (ICCV), 2023
K. Zhang, Y. Fu, S. Borse, H. Cai, F. Porikli, X. Wang,
Self-supervised geometric correspondence for category-level 6D object pose estimation in the wild,
International Conference on Learning Representations (ICLR), 2023
S. Borse, M. Klingner, V. Kumar, H. Cai, A. Almuzairee, S. Yogamani, F. Porikli,
X-Align: Cross-modal cross-view alignment for bird's-eye-view segmentation,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
D. Das, S. Borse, H. Park, K. Azarian, H. Cai, R. Garrepalli, F. Porikli,
TransAdapt: A Transformate Framework for Online Test Time Adaptive Semantic Segmentation
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
A. Ermolov, S. Kadambi, M. Arnold, M. Hirzallah, R. Amiri, D. Singh, S. Yerramalli, D. Dijkman, F. Porikli, T. Yoo, B. Major,
Neural 5G Indoor Localization with IMU Supervision,
IEEE Global Communications Conference: Selected Areas in Communications: Machine Learning for Communications (GlobeCom), 2023
G. Berger, M. Dhingra, A. Mercier, Y. Savani, S. Panchal, F. Porikli,
QuickSRNet: Plain Single-Image Super-Resolution Architecture
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
Y. Shi, H. Cai, A. Ansari, F. Porikli,
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation,
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
R. Garrepalli, J. Jeong, R. Ravindran, J.M. Lin, F. Porikli,
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow,
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), Mobile AI, 2023
K. Azarian, D. Das, H. Park, F. Porikli,
Test-time adaptation vs. training-time generalization: A case study in human instance segmentation using keypoints estimation,
IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2023
M. Abdar, M. Kollati, S. Kuraparthi, F. Pourpanah, D. McDuff, M. Ghavamzadeh, S. Yan, A. Mohamed, A. Khosravi, E. Cambria, F. Porikli,
A Review of Deep Learning for Video Captioning,
under review, 2023

2022

M. Naseer, S. Khan, M. Hayat, F. Khan, F. Porikli,
Stylized adversarial defense,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022, (Journal)
T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, J. Shen,
Consistency and diversity induced human motion segmentation,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022, (Journal)
M. Naseer, S. Khan, F. Porikli, F. Han,
Guidance through surrogate toward a generic diagnostic attack,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, (Journal)
P. Zhuang, J. Wu, F. Porikli, C. Li,
Underwater image enhancement with hyper-Laplacian peflectance priors,
IEEE Transactions on Image Processing (TIP), 2022, (Journal)
W. Wang, T. Zhou, F. Porikli, D. Crandall, L.V. Gool,
A survey on deep learning technique for video segmentation,
arXiv:2107.01153, 2022 (Journal Preprint)
J. Jeong, J.M. Lin, F. Porikli, N. Kwak,
Imposing consistency for optical flow estimation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
S. Borse, H. Park, H. Cai, D. Das, R. Garrepalli, F. Porikli,
Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
R. Zhu, Z. Li, J. Matai, F. Porikli, M. Chandraker,
IRISformer: Dense vision transformers for single-image inverse rendering in indoor scenes,
Supplementary,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
M. Naseer, K. Ranasinghe, S. Khan, F. Khan, F. Porikli,
On improving adversarial transferability of vision transformers,
International Conference on Learning Representations (ICLR), 2022
D. Das, S. Yun, F. Porikli,
ConFeSS: A framework for single source cross-domain few-shot learning,
International Conference on Learning Representations (ICLR), 2022
H. Hu, Y. Chen, J. Xu, S. Borse, H. Cai, F. Porikli, X. Wang,
Learning implicit feature alignment function for semantic segmentation,
European Conference on Computer Vision (ECCV), 2022
A. Habibian, H. Ben Yahia, D. Abati, E. Gavves, F. Porikli,
Delta distillation for efficient video processing,
European Conference on Computer Vision (ECCV), 2022
B. Bejnordi, A. Habibian, F. Porikli, A. Ghodrati,
SALISA: Saliency-based input sampling for efficient video object detection,
European Conference on Computer Vision (ECCV), 2022
Y. Zhang, S. Borse, H. Cai, F. Porikli,
AuxAdapt: Stable and efficient test-time wdaptation for temporally consistent video semantic segmentation,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
J. Yang, Y. Bhalgat, S. Chang, F. Porikli, N. Kwak,
Dynamic iterative refinement for efficient 3D hand pose estimation,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Y. Zhang, S. Borse, H. Cai, Y. Wang, N. Bi, X. Jiang, F. Porikli,
Perceptual consistency in video segmentation,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
D. Belli, D. Das, B. Major, F. Porikli,
Online adaptive personalization for face anti-spoofing,
IEEE International Conference on Image Processing (ICIP), 2022
D. Belli, D. Das, B. Major, F. Porikli,
A personalized benchmark for face anti-spoofing,
IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2022
D. Mehta, A. Skliar, H. Ben Yahia, S. Borse, F. Porikli, A. Habibian, T. Blankevoort,
Simple and efficient architectures for semantic segmentation,
IEEE Conference on Computer Vision and Pattern Recognition - ECV Workshop (CVPRW), 2022
H. Park, A. Yessenbayev, T. Singhal, N. Adhikari, Y. Zhang, S. Borse, H. Cai, N. Pandey, F. Yin, F. Mayer, B. Calidas, F. Porikli,
Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit deployment on mobile device,
IEEE Conference on Computer Vision and Pattern Recognition Demos (CVPR-D), 2022
F. Zanjani, I. Karmanov, H. Ackermann, D. Dijkman, S. Merlin, I. Kadampot, B. Buesker, V. Vegunta. F. Porikli,
Deep learning frameworks for weakly-supervised indoor localization,
NeurIPS 2021 Competition and Demonstration Track, Proceedings of Machine Learning Research 176 (PMLR), 2022
H. Cai. F. Yin, T. Singhal, S. Pendyam, P. Noorzad, Y. Zhu, K. Nguyen, J. Matai, B. Ramaswamy, F. Mayer, C. Patel, A. Khobare, F. Porikli,
Real-time and accurate self-supervised monocular depth estimation on mobile device,
NeurIPS 2021 Competition and Demonstration Track, Proceedings of Machine Learning Research 176 (PMLR), 2022

2021

S. Minaee, Y. Boykov, F. Porikli, A. Plaza, A. Kehtarnavaz, D. Terzopoulos,
Image segmentation using deep learning: A survey,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021 (Journal)
H. Chen, F. Ahmad, S. Vorobyov, F. Porikli,
An overview of tensor decompositions in wireless communication and MIMO radar,
IEEE Journal of Selected Topics in Signal Processing (STSP), 2021 (Journal)
J. Dong, W. Yang, Y. Yao, F. Porikli,
Knowledge memorization and generation for action recognition in still images,
Elsevier Pattern Recognition (PR), 2021 (Journal)
H. Anwar, S. Anwar, S. Zambanini, F. Porikli,
Deep ancient Roman Republican coin classification via feature fusion and attention,
Elsevier Pattern Recognition (PR), 2021 (Journal)
S. Anwar, Z. Hayder, F. Porikli,
Deblur and deep depth from single defocus image,
Machine Vision and Applications Journal (MVAP), 2021 (Journal)
S. Borse, Y. Wang, Y. Zhang, F. Porikli,
InverseForm: A loss function for structured boundary-aware segmentation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
F.G. Zanjani, I. Karmanov, H. Ackermann, D. Dijkman, S. Merlin, M. Welling, F. Porikli,
Modality-agnostic topology aware localization,
35th Conference on Neural Information Processing Systems (NeurIPS), 2021
H. Kim, M. Jain, J.T. Lee, S. Yun, F. Porikli,
Efficient action recognition via dynamic knowledge propagation,
International Conference on Computer Vision (ICCV), 2021
M. Naseer, S. Khan, M. Hayat, F.S. Khan, F. Porikli,
On generating transferable targeted perturbations,
International Conference on Computer Vision (ICCV), 2021
H. Cai, J. Matai, S. Borse, Y. Zhang, A. Ansari, F. Porikli,
X-Distill: Improving self-supervised monocular depth via cross-task distillation,
British Machine Vision Conference (BMVC), 2021
M. Jain, H.B. Yahia, A. Ghodrati, F. Porikli, A. Habibian,
Conditional model selection for efficient video understanding,
British Machine Vision Conference (BMVC), 2021
S. Borse, H. Cai, Y. Zhang, F. Porikli,
HS3: learning with proper task complexity in hierarchically supervised semantic segmentation,
British Machine Vision Conference (BMVC), 2021
J.M. Lin, P. Noorzad, Y. Yang, N. Kwak, F. Porikli,
Phase selective convolution,
IEEE Conference on Computer Vision and Pattern Recognition, 17th Embedded Vision Workshop Workshop (CVPRW), 2021 (Best Paper Award)
M.S. Yang, D. Das, S. Chang, S. Yun, F. Porikli,
Distribution estimation to automate transformation policies for self-supervision,
NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice (NeurIPSW), 2021
M. Bhat, S. Han, F. Porikli,
Fast polar attentive 3D object detection on LiDAR point clouds,
NeurIPS 2021 Workshop: Machine Learning for Autonomous Driving Workshop (NeurIPSW), 2021
M. Naseer, K. Ranasinghe, S. Khan, F.S. Khan, F. Porikli,
On improving adversarial transferability of vision transformers,
arXiv:2106.04169, 2021
D. Das, Y. Bhalgat, F. Porikli,
Data-driven weight initialization with Sylvester solvers,
arXiv:2105.10335, 2021
K. Azarian, F. Porikli,
Cascade weight shedding in deep neural networks: Benefits and pitfalls for network pruning,
arXiv:2103.10629, 2021

2020

S. Rahman, S. Khan, F. Porikli,
Zero-shot object detection: joint recognition and localization of novel concepts,
International Journal of Computer Vision (IJCV), 2020 (Journal)
X. Dong, J. Shen, W. Wang, L. Shao, H. Ling, F. Porikli,
Dynamical hyperparameter optimization via deep reinforcement learning in tracking,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2020 (Journal)
X. Yu, F. Shiri, B. Ghanem, F. Porikli,
Can we see more? Joint frontalization and hallucination of unaligned tiny faces,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2020 (Journal)
G. Zhang, F. Porikli, H. Sun, Q.Sun, G. Xia, Y. Zheng,
Cost-sensitive joint feature and dictionary learning for face recognition,
Elsevier Neurocomputing, 2020 (Journal)
Y. Zheng, H. Yao, X. Sun, S. Zhang, S. Zhao, F. Porikli,
Sketch-specific data augmentation for freehand sketch recognition,
Elsevier Neurocomputing, 2020 (Journal)
C. Li, S. Anwar, F. Porikli,
Underwater scene prior inspired deep underwater image and video enhancement,
Pattern Recognition, Elsevier, 2010 (Journal)
M. Nasser, S. Khan, M. Hayat, F. Khan, F. Porikli,
A self-supervised approach for adversarial robustness,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Supplementary
T. Zhou, H. Fu, C. Gong, J. Shen, L. Shao, F. Porikli,
Multi-mutual consistency induced transfer subspace learning for human motion segmentation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Y. Bhalgat, Y. Zhang, J. Lin, F. Porikli,
Structured convolutions for efficient neural network design,
NeurIPS, 2020
S. Anwar, C.H. Huyhn, F. Porikli,
Identity enhanced residual image denoising,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop NTIRE, 2020
Supplementary
X. Dong, J. Shen, L. Shao, F. Porikli,
CLNet: A Compact Latent Network for Fast Adjusting Siamese Tracker,
European Conference on Computer Vision (ECCV), 2020
R. Kalarot, T. Li, F. Porikli,
Component attention guided face super-resolution network: CAGFace,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
H. Yang, T. Zhang, W. Huang, X. He, F. Porikli,
Towards purely unsupervised disentanglement of appearance and shape for person images generation,
ACM MM, International Workshop on Human-centric Multimedia Analysis, 2020
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, D. Terzopoulos,
Image segmentation using deep learning: A survey,
arXiv:2001.05566, 2020
G. Ding, S. Khan, Z. Tang, J. Zhang, F. Porikli,
Towards better validity: Dispersion based clustering for unsupervised person re-identification,
arXiv:1906.01308, 2019
M. Naseer, S. Khan, M. Hayat, FS. Khan, F. Porikli,
Stylized adversarial defense,
arXiv:2007.14672, 2020

2019

X. Yu, F. Porikli, B. Fernando, R. Hartley,
Hallucinating unaligned face images by multiscale transformative discriminative networks,
International Journal of Computer Vision (IJCV), 2019 (Journal)
S. Anwar, C.P. Huyhn, F. Porikli,
Image deblurring with a class-specific prior,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2019 (Journal)
H. Li, X. Wang, F. Shen, Y. Li, F. Porikli, M. Wang,
Real-time deep tracking via corrective domain adaptation,
IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), 2019 (Journal)
X. Yu, B. Fernando, R. Hartley, F. Porikli,
Semantic face hallucination: Super-resolving very low-resolution face images with supplementary attributes,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2019 (Journal)
G. Ding, S. Khan, Z. Tang, J. Zhang, F. Porikli,
Feature affinity based pseudo Labeling for semi-supervised person re-identification,
IEEE Transaction on Multimedia (TMM), 2019 (Journal)
R. Cong, J. Lei, H. Fu, F. Porikli, Q. Huang, C. Hou,
Video saliency detection via sparsity-based reconstruction and propagation,
IEEE Transaction on Image Processing (TIP), 2019 (Journal)
X. Dong, J. Shen, Y. Liu, W. Wang, F. Porikli,
Quadruplet network with one-shot learning for fast visual object tracking,
IEEE Transaction on Image Processing (TIP), 2019 (Journal)
L. Pan, Y. Dai, M. Liu, F. Porikli, Q. Pan,
Joint stereo video deblurring scene flow estimation and moving object segmentation,
IEEE Transaction on Image Processing (TIP), 2019 (Journal)
Y. Xu, X. Hong, F. Porikli, X. Liu, J. Chen, G. Zhao,
Saliency integration: An arbitrator model,
IEEE Transaction on Multimedia (TMM), 2019 (Journal)
G. Ding, S. Khan, Z. Tang, F. Porikli,
Feature mask network for person re-identification,
Elsevier Pattern Recognition Letters (PRL), 2019 (Journal)
D. Li, F. Porikli, G. Wen, Y. Kuai,
When correlation filters meet Siamese networks for real-time complementary tracking,
IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), 2019 (Journal)
M. Zhao, J. Zhang, F. Porikli, C. Zhang, W. Zhang,
Scale-aware crowd counting via depth-embedded convolutional neural networks,
IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), 2019 (Journal)
J. Shen, X. Dong, J. Peng, X. Jin, L. Shao, F. Porikli,
Submodular function optimization for motion clustering and image segmentation,
IEEE Transaction on Neural Networks and Learning Systems (TNNLS), 2019 (Journal)
H. Hu, B. Ma, J. Shen, H. Sun, L. Shao, F. Porikli,
Robust tracking using manifold regularized convolutional neural networks,
IEEE Transaction on Multimedia (TMM), 2019 (Journal)
D.Li, G. Wen, Y. Kuai, F. Porikli,
Beyond feature integration: A coarse-to-fine framework for cascade correlation tracking,
Springer Machine Vision and Applications (MVA), 2019 (Journal)
M. Naseer, S. Khan, F. Porikli,
Indoor scene understanding in 2.5/3D for autonomous agents: A survey,
IEEE Access, 2019 (Journal)
D. Li, G. Wen, Y. Kuai, F. Porikli,
Robust visual tracking with channel attention and focal loss,
Neurocomputing, Elsevier, 2019 (Journal)
X. Lu, W. Wang, C. Ma, J. Shen, L. Shao, F. Porikli,
See more, know more: Unsupervised video object segmentation with co-attention Siamese networks,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
M. Naseer, S. Khan, H. Khan, F. Khan, F. Porikli,
Cross-domain transferable perturbations
Neural Information Processing Systems (NIPS), 2019
R. Kalarot, F. Porikli,
MultiBoot VSR: Multi-stage multi-reference bootstrapping for video super resolution,
IEEE NTIRE 2019 Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Second Best VSR)
M. Naseer, S. Khan, F. Porikli,
Local Gradients Smoothing: Defense against localized adversarial attacks,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
F. Shiri, X. Yu, F. Porikli, R. Hartley, P. Koniusz,
Recovering faces from portraits with auxiliary facial attributes,
Supplementary results,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
X. Yu, Y. Tian, F. Porikli, R. Hartley, H. Li, H. Heijnen, V. Balntas,
Unsupervised extraction of local image descriptors via relative distance ranking loss,
4th CEFRL 2019 Workshop in conjunction with IEEE International Conference on Computer Vision (ICCV), 2019

2018

S. Khan, M. Hayat, F. Porikli,
Regularization of deep neural networks with spectral dropout,
Elsevier Neural Networks, 2018 (Journal)
S. Rahman, S. Khan, F. Porikli,
A unified approach for conventional zero-shot, generalized zero-shot and few-shot learning,
IEEE Transaction on Image Processing (TIP), 2018 (Journal),
W. Wang, J. Shen, F. Porikli, R. Yang,
Semi-supervised video object segmentation with super-trajectories,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2018 (Journal),
W. Wang, J. Shen, R. Yang, F. Porikli,
Saliency-aware video object segmentation,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2018 (Journal),
X. Yu, F. Porikli,
Imagining the unimaginable faces by deconvolutional networks,
IEEE Transaction on Image Processing (TIP), 2018 (Journal),
G. Zhu, F. Porikli, H. Li,
Not all negatives are equal: Learning to track with multiple background clusters,
IEEE Transactions on Circuits, Systems, and Video Technology (T-CSVT), 28:2, 314-326, 2018 (Journal)
M. Faraki, M. Harandi, F. Porikli,
Large scale metric learning: A voyage from shallow to deep,
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2018 (Journal)
B. Ma, H. Hu, J. Shen, Y. Zhang, L. Shao, F. Porikli,
Robust object tracking by nonlinear learning,
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2018 (Journal)
M. Faraki, M. Harandi, F. Porikli,
A comprehensive look at coding techniques on Riemannian manifolds,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018 (Journal)
T. Zhang, F. Porikli,
Cascade residuals guided nonlinear dictionary learning,
Elsevier Computer Vision and Image Understanding (CVIU), 2018 (Journal)
D. Li, G. Wen, Y. Kuai, F. Porikli,
End-to-end feature integration for correlation filter tracking with channel attention,
IEEE Signal Processing Letters Journal, 2018 (Journal)
D. Li, G. Wen, Y. Kuai, F. Porikli,
Learning padless correlation filters for boundary effect free tracking,
IEEE Sensors Journal, 2018 (Journal)
D. Li, G. Wen, Y. Kuai, J. Xiao, F. Porikli,
Learning target-aware correlation filters for visual tracking,
Elsevier Journal of Visual Communication and Image Representation, 2018 (Journal)
C. Li, J. Guo, F. Porikli, H. Fu, Y. Pang,
A cascaded convolutional neural network for single image dehazing,
IEEE Access, 2018 (Journal)
S. Wang, E. Zhu, J. Yin, F. Porikli,
Video anomaly detection and localization by local motion based joint video representation and OCELM,
Elsevier Journal on Neurocomputing, 2018 (Journal)
C. Li, J. Guo, F. Porikli, Y. Pang,
LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement,
Pattern Recognition Letters (PR), 2018 (Journal)
S. Wang, Q. Liu, E. Zhu, F. Porikli, J. Yin,
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting,
Elsevier Journal on Pattern Recognition (PR), 2018 (Journal)
Y. Zheng, H. Yao, X. Sun, S. Zhao, F. Porikli,
Distinctive action sketch for human action recognition,
Elsevier Journal on Signal Processing (SP), 2018 (Journal)
J. Wang, A. Cherian, F. Porikli, S. Gould,
Video representation learning using discriminative pooling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
X. Yu, B. Fernando, R. Hartley, F. Porikli,
Super-resolving very low-resolution face images with supplementary attributes,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
P. Koniusz, H. Wang, F. Porikli,
A deeper look at power normalizations,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
H. Yang, X. He, F. Porikli,
One-shot action localization by learning sequence matching network,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
X. Dong, J. Shen, W. Wang, L. Yu, L. Shao, F. Porikli,
Hyperparameter optimization for tracking with continuous deep Q-learning,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
X. Yu, B. Fernando, B. Ghanem, F. Porikli, R. Hartley,
Face super resolution guided by facial component heatmaps,
European Conference on Computer Vision (ECCV), 2018
P. Koniusz, Y. Tas, H. Zhang, M. Harandi, F. Porikli, R. Zhang,
Museum exhibit identification challenge for the supervised domain adaptation and beyond,
European Conference on Computer Vision (ECCV), 2018
F. Shiri, X. Yu, F. Porikli, R. Hartley, P. Koniusz,
Identity-preserving face recovery from portraits,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
L. Pan, Y. Dai, M. Liu, F. Porikli,
Depth map completion by jointly exploiting blurry color images and sparse depth maps,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
H. Yang, X. He, F. Porikli,
Instance-aware detailed action labeling in videos,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
S. Rahman, S.H. Khan, F. Porikli,
Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts,
Asian Conference on Computer Vision (ACCV), 2018
(--------- PROJECT PAGE ---------)

2017

H. Zhu, F. Porikli,
Automatic refinement strategies for manual initialization of object trackers,
IEEE Transaction on Image Processing (TIP), 2017 (Journal)
Download our new HIC Dataset
W. Wang, J. Shen, R. Yang, F. Porikli,
A unified spatiotemporal prior based on geodesic distance for video object segmentation,
IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2017 (Journal),
S.H. Khan, X. He, F. Porikli, M. Bennamoun,
Forest change detection in incomplete satellite images with deep neural networks,
IEEE Transaction on Geoscience and Remote Sensing (TGRS), 2017 (Journal),
W. Wang, J. Shen, F. Porikli,
Selective video object cutout,
IEEE Transaction on Image Processing (TIP), vol 26, N0. 12, 2017 (Journal)
G. Zhang, H. Sun, F. Porikli, Y. Liu, Q. Sun,
Optimal couple projections for domain adaptive sparse representation-based classification,
IEEE Transaction on Image Processing (TIP), vol 26, No. 12, 2017 (Journal)
L. Huang, B. Ma, J. Shen, H. He, L. Shao, F. Porikli,
Visual tracking by sampling in part space,
IEEE Transaction on Image Processing (TIP), vol 26, No. 12, 2017 (Journal)
S. Anwar, F. Porikli, C. Huyhn
Category-specific object image denoising,
IEEE Transaction on Image Processing (TIP), 2017 (Journal)
J. Shen, J. Peng, X. Dong, L. Shao, F. Porikli,
Higher-order energies for image segmentation,
IEEE Transaction on Image Processing (TIP), 2017 (Journal)
S. Herath, M. Harandi, F. Porikli,
Going Deeper into Action Recognition: A Survey ,
Journal Image and Vision Computing, vol 60, pages 4-21, 2017 (Journal)
Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli,
Pushing the limits of deep CNNs for pedestrian detection,
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017 (Journal)
M. Faraki, M. Harandi, F. Porikli,
No fuss metric learning, a Hilbert space scenario,
Elsevier Pattern Recognition Letters (PRL), 2017 (Journal)
Y. Zheng, H. Yao. X. Sun. X. Jiang, F. Porikli,
Breaking video into pieces for action recognition,
Springer Multimedia Tools Applications, 76:22195, 2017 (Journal)
X. Yu, F. Porikli,
Face hallucination with tiny unaligned images by transformative discriminative neural networks,
Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017
P. Koniusz, Y. Tas, F. Porikli,
Domain adaptation by mixture of alignments of second- or higher-order scatter tensors,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
N. Akhtar, A. Mian, F. Porikli,
Joint discriminative bayesian dictionary and classifier learning,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
X. Yu, F. Porikli,
Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
S. Herath, M. Harandi, F. Porikli,
Learning an invariant hilbert space for domain adaptation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
L. Pan, Y. Dai, M. Liu, F. Porikli,
Simultaneous stereo video deblurring and scene flow estimation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
S. Khan, M. Hayat, F. Porikli,
Scene categorization with spectral features,
IEEE International Conference on Computer Vision (ICCV), 2017
W. Wang, J. Shen, J. Xie, F. Porikli,
Super-trajectory for video segmentation,
IEEE International Conference on Computer Vision (ICCV), 2017
S. Khan, X. He, F. Porikli, M. Bennamoun, F. Sohel, R. Togneri,
Learning deep structured network for weakly supervised change detection,
International Joint Conference on Artificial Intelligence (IJCAI), 2017
S. Anwar, Z. Hayder, F. Porikli,
Depth estimation and blur removal from a single out-of-focus image, (Supplementary Material)
British Machine Vision Conference (BMVC), 2017
S. Anwar, C. Huynh, F. Porikli,
Combined internal and external category-specific image denoising, (Supplementary Material)
British Machine Vision Conference (BMVC), 2017
J. Zhang, Y. Dai, F. Porikli,
Deep salient object detection by integrating multi-level cues,
IEEE Winter Applications and Computer Vision Conference (WACV), 2017
J. Wang A. Cherian, F. Porikli,
Ordered pooling of optical flow sequences for action recognition,
IEEE Winter Applications and Computer Vision Conference (WACV), 2017
H. Zhang, X. He, F. Porikli,
Learning spatial transforms for refining object segment proposals,
IEEE Winter Applications and Computer Vision Conference (WACV), 2017
F. Shiri, X. Yu, P. Koniusz, F. Porikli,
Face destylization,
The International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017
X. Wang, H. Li, Y. Li, F. Shen, F. Porikli
Robust and realtime deep tracking via multi-scale domain adaptation,
IEEE International Conference on Multimedia and Expo (ICME), 2017
[Project Page] [Code]
M. Zhao, J. Zhang, F. Porikli, C. Zhang, W. Zhang
Learning a perspective embedded deconvolutional network for crowd counting,
IEEE International Conference on Multimedia & Expo (ICME), 2017
X. Wang, H. Li, Y. Li, F. Porikli, M. Wang,
Deep tracking with objectness,
IEEE International Conference on Image Processing (ICIP), 2017
[Project Page]
J. Zhang, B. Li, Y. Dai, F. Porikli, M. He,
Integrated deep and shallow networks for salient object detection,
IEEE International Conference on Image Processing (ICIP), 2017
[Slides]
J. Zhang, Y. Dai, F. Porikli, M. He
Multi scale salient object detection with pyramid spatial pooling,
IEEE APSIPA ASC, 2017
S. Herath, M. Harandi, F. Porikli,
Learning an invariant Hilbert space for domain adaptation,
arXiv:1611.08350, November 2016
S. Rahman, S. H. Khan, F. Porikli,
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning,
1706.08653, June 2017
S. Roy, S. Herath, R. Nock, F. Porikli
Machines that learn with limited or no supervision: A survey on deep learning based techniques,
IEEE SPM submission, 2017

2016

F. Porikli,
Regression on Lie groups and its application to affine motion tracking,
Advances in Computer Vision and Pattern Recognition - Riemannian Geometry in Machine Learning, Statistics, Optimization, and Computer Vision, Editors: Minh, Vittorio, Springer, 2016 (Book Chapter)
M. Kristan, J. Matas, A. Leonardis, T. Vojir, R. Pflugfelder, G. Fernandez, G. Nebehay, F. Porikli, L. Cehovin,
A Novel Performance Evaluation Methodology for Single-Target Trackers,
IEEE Transaction on Pattern Recognition and Machine Intelligence (PAMI), 2016 (Journal)
H. Li, Y. Li, F. Porikli,
Convolutional neural net bagging for online visual tracking,
Elsevier Journal on Computer Vision and Image Understanding (CVIU), 2016 (Journal)
H. Li, Y. Li, F. Porikli,
DeepTrack: Learning discriminative feature representations online for robust visual tracking,
IEEE Transactions on Image Processing (TIP), 2016 (Journal)
B. Ma, L. Huang, J. Shen, L. Shao, M-H. Yang, and F. Porikli,
Visual tracking under motion blur,
IEEE Transactions on Image Processing (TIP), 5(12):5867-5876, 2016 (Journal)
W. Wang, J. Shen, L. Shao, F. Porikli,
Correspondence driven saliency transfer,
IEEE Transactions on Image Processing (TIP), 2016 (Journal)
Q. Hu, S. Paisitkriangkrai, C. Shen, A. van den Hengel, F. Porikli,
Fast detection of multiple objects in traffic scenes with a common detection framework,
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2016 (Journal)
D. Liu, S. Wang, F. Porikli,
Spatial encoding of visual words for image classification,
SPIE Journal of Electronic Imaging, 2016 (Journal)
G. Zhu, F. Porikli, H. Li,
Beyond local search: tracking objects everywhere with instance-specific proposals,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
M. Harandi, M. Salzmann, F. Porikli,
When VLAD met Hilbert,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
X. Yu, F. Porikli,
Ultra resolving face images by discriminative generative networks,
European Conference on Computer Vision (ECCV), 2016
[Project Page]
P. Koniusz, A. Cherian, F. Porikli,
Tensor representations via kernel linearization for action recognition from 3D skeletons,
European Conference on Computer Vision (ECCV), 2016
H. Zhou, J. Alverez, F. Porikli,
Less is more: Towards compact CNNs,
European Conference on Computer Vision (ECCV), 2016
T. Zhang, F. Porikli,
Sparse coding on cascaded residuals,
Asian Conference on Computer Vision (ACCV), 2016
H. Zhang, X. He, F. Porikli,
Learning to generate object proposals with multi-modal cues,
Asian Conference on Computer Vision (ACCV), 2016
Y. Xie, F. Porikli, X. He,
Object-aware dictionary learning with deep features,
Asian Conference on Computer Vision (ACCV), 2016
G. Zhou, F. Porikli, H. Li,
Model-free multiple object tracking with shared proposals,
Asian Conference on Computer Vision (ACCV), 2016
M. Faraki, M. Harandi, F. Porikli,
Image set classification by symmetric positive semi-definite matrices,
IEEE Winter Applications and Computer Vision Conference (WACV), 2016 data
G. Zhu, F. Porikli, H. Li,
Robust visual tracking with deep convolutional neural network based object proposals on PETS,
IEEE Workshop on Performance Evaluation of Tracking Systems (PETS) in conjunction with CVPR, 2016
S. Wang, E. Zhu, J. Yin, F. Porikli,
Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification,
International Conference on Pattern Recognition (ICPR), 2016
A. Mukhopadhyay, S. Bhandarkar, F. Porikli,
Detection and characterization of intrinsic symmetry of 3D shapes,
International Conference on Pattern Recognition (ICPR), 2016
Y. Wang, Y. Li, F. Porikli,
Finetuning convolutional neural networks for visual aesthetics,
International Conference on Pattern Recognition (ICPR), 2016
H. Zhang, X. He, F. Porikli, L. Kneip,
Semantic context and depth-aware object proposal generation,
IEEE International Conference on Image Processing (ICIP), 2016
K. Kurihara, Y. Toyoda, S. Moriya, D. Suzuki, T. Fujita, N. Matoba, J. Thornton, F. Porikli,
Light-weight single image super-resolution via pattern-wise regression function ,
Image Processing: Algorithms and Systems XIV, Electronic Imaging, 2016

2015

F. Porikli, O. Tuzel, P. Meer,
Designing a boosted classifier on Riemannian manifolds,
Riemannian Computing in Computer Vision, Editors: Turaga, Srivastava, Springer, 2015 (Book Chapter)
X. Shu, F. Porikli, N. Ahuja,
Robust orthonormal subspace learning (ROSL),
Handbook on Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, Editors: T. Bouwmans, N. Aybat, E. Zahzah, CRC Press, Taylor and Francis Group, 2015 (Book Chapter)
W. Wang, J. Shen, X. Li, F. Porikli,
Robust video object cosegmentation,
IEEE Transactions on Image Processing (TIP), volume: 24, issue: 10, 2015 (Journal)
S. Anwar, C.P. Huynh, F. Porikli,
Class-specific image deblurring,
IEEE International Conference on Computer Vision (ICCV), 2015
B. Ma, H. Hu, J. Shen, Y. Zhang, F. Porikli,
Linearization to nonlinear learning for visual tracking,
IEEE International Conference on Computer Vision (ICCV), 2015
W. Wang, J. Shen, F. Porikli,
Saliency aware geodesic video object segmentation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
M. Faraki, M. Harandi, F. Porikli,
More about VLAD a leap from Euclidean to Riemannian manifolds,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
(supplementary material) code data
F. Li, F. Porikli,
Enforcing point-wise priors on binary segmentation,
British Machine Vision Conference (BMVC), 2015
C. P. Huynh, S. Mustapha, P. Runcie, F. Porikli,
Multi-class support vector machine for paint condition assessment on the Sydney Harbour Bridge using hyperspectral imaging,
International Journal on Structural Monitoring and Maintenance, Special Issue From Data to Decision Making, July 2015 (Journal)
I. S. Topkaya, H. Erdogan, F. Porikli,
Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes,
Springer Journal on Signal, Image and Video Processing, September 2015 (Journal)
M. Faraki, M. Harandi, F. Porikli,
Material classification on symmetric positive definite manifolds,
IEEE Winter Applications and Computer Vision Conference (WACV), 2015
G. Zhu, F. Porikli, Y. Ming, H. Li,
Lie-Struck: affine tracking on Lie groups using structured SVM,
IEEE Winter Applications and Computer Vision Conference (WACV), 2015
M. Faraki, M. Harandi, F. Porikli,
Approximate infinite dimensional region covariance descriptors,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015
code
M. Samir, C.-P. Huynh, P. Runcie, F. Porikli,
Paint condition assessment of civil structures using hyper-spectral imaging,
7th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII), 2015
M. Felsberg, A. Berg, G. Hager,..., F. Porikli,...
The visual object tracking VOT2015 challenge results,
IEEE Workshop on Video Object Tracking (VOT) in conjunction with ICCV, 2015
A. Mukhopadhyay, S. Bhandarkar, F. Porikli,
Detection and characterization of intrinsic symmetry,
arXiv:1309.7472v1

2014

Y. Chi, F. Porikli,
Classification and boosting with multiple collaborative representations,
IEEE Transaction on Pattern Recognition and Machine Intelligence (PAMI), 2014 (Journal)
L. Tao, F. Porikli, R. Vidal,
Sparse dictionaries for semantic segmentation,
European Conference on Computer Vision (ECCV), 2014
H. Li, Y. Li, F. Porikli,
Robust online visual tracking with an single convolutional neural network,
Asian Conference on Computer Vision (ACCV), 2014
H. Li, Y. Li, F. Porikli,
DeepTrack: learning discriminative feature representations by convolutional neural networks for visual tracking (multiple CNNs) ,
British Machine Vision Conference (BMVC), 2014
F. Li, F. Porikli,
Biomechanical model-based 4DCT simulation,
Journalon Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2014 (Journal)
A. Singh, F. Porikli, N. Ahuja,
Super-resolving noisy images,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
X. Shu, F. Porikli, N. Ahuja,
Robust orthonormal subspace learning: efficient recovery of corrupted low-rank matrices,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (oral)
H. Harandi, M. Salzmann, F. Porikli,
Bregman divergences for infinite dimensional covariance matrices,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
A. Soni, J. Haupt, F. Porikli,
Recycled linear classifiers for multiclass classification,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014
J. Ni, T, Marks, O. Tuzel, F. Porikli,
Detecting 3D geometric boundaries of indoor scenes under varying lighting,
IEEE Winter Applications and Computer Vision Conference (WACV), 2014
I. S. Topkaya, H. Erdogan, F. Porikli,
Counting people by clustering person detector outputs,
IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2014 (Best Poster Award)
Y. Wang, P.-M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, P. Ishwar,
CDnet 2014: an expanded change detection benchmark dataset,
IEEE Change Detection Workshop (CDNet) in conjunction with CVPR, 2014

2013

H. Van Nguyen, F. Porikli,
Support vector shape: A classifier based shape representation,
IEEE Transaction on Pattern Recognition and Machine Intelligence (PAMI), 2013 (Journal)
F. Li, F. Porikli,
Tracking lung tumors in orthogonal X-rays,
Journalon Computational and Mathematical Methods in Medicine (CMMM), Special Issue on Biomedical Signal and Image Processing for Clinical Decision Support Systems, 2013 (Journal)
F. Porikli, F. Bremond, S. Dockstader, A. Hoogs, J. Ferryman, B. Lovell, S. Pankanti, B. Rinner, P. Tu, P. Venetianer,
Video surveillance: past, present and the future,
IEEE Signal Processing Magazine, 2013 (impact factor 6.0) (Journal)
Z. Lian, A.Godil, B. Bustos, M. Daoudi, J. Hermans, S.Kawamura, Y.Kurita, G. Lavou, H. Nguyen, R Ohbuchi, Y. Ohkita, Y. Ohishi, F. Porikli, M. Reuter, I. Sipiran, D. Smeets, P.Suetens, H. Tabia, D. Vandermeulen,
A comparison of methods for non-rigid 3D shape retrieval,
Pattern Recognition 46(1): 449-461, 2013 (Journal)
F. Porikli, A. Soni, K. Suwa,
Nonstationary noise removal,
Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2013
F. Li, F. Porikli,
Harmonic variance: A novel feature for defocus segmentation,
British Machine Vision Conference (BMVC), 2013
M. Kocamaz, F. Porikli,
Unconstrained 1D range and 2D image based human detection,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013
F. Li, F. Porikli,
Biomechanical simulation of lung deformation from one CT scan,
MICCAI Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, 2013
M. Kristan, R. Pflugfelder, A. Leonardis, J. Matas, F. Porikli, L. Cehovin, G. Nebehay, G. Fernandez, T. Vojir,
The visual object tracking challenge results,
IEEE Workshop on Visual Object Tracking (VOT) in conjunction with ICCV, 2013

2012

F. Porikli, A. Yilmaz,
Object detection and tracking,
Video Analytics for Business Intelligence, Springer, 2012 (Book Chapter)
A. Joshi, F. Porikli, N. Papanikolopulos,
Scalable active learning for multi-class image classification,
IEEE Transaction on Pattern Recognition and Machine Intelligence (PAMI), 2012 (Journal)
Y. Chi, F. Porikli,
Connecting the dots in multiclass classification: from nearest subspace to collaborative representation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
N. Goyette, P. Jodoin, F. Porikli, J. Konrad, P. Ishwar,
changedetection.net: A new change detection benchmark dataset,
IEEE Change Detection Workshop, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
A. Ruta, F. Porikli,
Compressive clustering of high-dimensional data,
11th IEEE International Conference on Machine Learning Applications (ICMLA), 2012
F. Porikli, R. Sundaresan, K. Suwa,
SAR despeckling by sparse reconstruction on affinity nets,
IEEE European Conference on Synthetic Aperture Radar (EUSAR), 2012
Y. Wang, F. Porikli,
Multiple dictionary learning for blocking artifact reduction,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012
N. Rao, F. Porikli,
A clustering approach to optimize online dictionary learning,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012
R. Sundaresan, F. Porikli,
Additive noise removal by sparse reconstruction on affinity nets,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012
A. Joshi, F. Porikli, N. Papanikolopoulos,
Coverage optimized active learning for k-NN classifiers,
IEEE International Conference on Robotics and Automation (ICRA), 2012

2011

F. Porikli, A. Bovik, C. Plack, G. AlRegib, J. Farrell, P. Le Callet, Q. Huynh-Thu, S. Muller, and S. Winkler,
Multimedia quality assessment,
IEEE Signal Processing Magazine, 2011 (impact factor 6.0) (Journal)
A. Ruta, F. Porikli, S. Watanabe, Y. Li,
In-vehicle camera traffic sign detection and recognition,
Springer Journal on Machine Vision and Applications, Volume 22, Issue 2, 2011 (Journal)
H. Van Nguyen, F. Porikli,
Concentric ring signature descriptor for 2.5/3D objects,
IEEE International Conference on Image Processing (ICIP), 2011
F. Porikli, H. Ozkan,
Data driven frequency mapping for computationally scalable object detection,
IEEE Advanced Video and Signal based Surveillance (AVSS), 2011 (Best Paper Award)
M. Hussein, F. Porikli, S. Aslan, R. Li,
CrossTrack: robust 3D tracking from two cross-sectional views,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
Z. Lian, A. Godil, B. Bustos, M. Daoudi, J. Hermans, S. Kawamura, Y. Kurita, G. Lavou, H. Nguyen, R. Ohbuchi, Y. Ohkita, Y. Ohishi, F. Porikli, M. Reuter, I. Sipiran, D. Smeets, P. Suetens, H. Tabia, and D. Vandermeulen,
Shape retrieval on non-rigid 3D watertight meshes,
Eurographics, Shape Retrieval Contest (SHREC), 2011

2010

A. Joshi, F. Porikli,
Scene adaptive human detection with incremental active learning,
IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2010
X. Li, F. Porikli,
Human state classification and predication for critical care monitoring by real-time biosignal analysis,
IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2010
F. Porikli,
Neddle Picking: A sampling based track before detection method for small targets,
SPIE Defense & Security, 2010
A. Joshi, F. Porikli, and N. Papanikolopoulos,
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
V. Venkataraman, F. Porikli,
RelCom: relational combinatics features for rapid object detection,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, IEEE OTBVS Workshop (oral) (Best Paper Award)
A. Joshi, F. Porikli, and N. Papanikolopoulos,
Multi-class batch-mode active learning for image classification,
IEEE International Conference on Robotics and Automation (ICRA), 2010
T. Lee, A. Chaudhuri, F. Porikli, H. Chen,
CycleStack: inferring periodic behavior via temporal sequence visualization in ultrasound video,
IEEE Pacific Visualization Conference (PacVis), 2010
F. Porikli,
Learning on manifolds,
IAPR Joint Workshop on Structural and Statistical Pattern Recognition, 2010 (invited paper)
F. Porikli, F. Bashir, H. Sun,
Compressed domain video object segmentation,
IEEE Transactions on Circuits, System in Video Technology (T-CSVT), 2010 (Journal)

2009

O. Tuzel, F. Porikli, P. Meer,
Kernel methods for weakly supervised mean-shift clustering,
IEEE International Conference on Computer Vision (ICCV), 2009 (oral)
A. Joshi, F. Porikli, N. Papanikolopoulos,
Multi-class active learning for image classification,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
M. Hussein, F. Porikli, L. Davis,
Pedestrian detection in images: a practical comparative study,
IEEE Transaction on Intelligent Transportation Systems (T-ITS), 2009 (Journal)
F. Porikli, P. Pan,
Regressed importance sampling on manifolds for efficient object tracking,
IEEE Advanced Video and Signal based Surveillance (AVSS), 2009 (oral)
P. Pan, F. Porikli, D. Schonfeld,
A new method for tracking performance evaluation based on a reflective model and perturbation analysis,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009
P. Pan, F. Porikli, D. Schonfeld,
Recurrent tracking using multifold consistency,
IEEE Workshop on PerformanceEvalautions of Tracking Systems (PETS) in conjunction with CVPR, 2009
K. Sengupta, F. Porikli,
Geometric sequence imaging with Bayesian smoothing for optical and capacitive imaging sensors,
IEEE Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum, (OTBVS) in conjunction with CVPR, 2009
M. Hussein, F. Porikli, L. Davis,
Object detection via boosted deformable features,
IEEE International Conference on Image Processing (ICIP), 2009
A. Ruta, F. Porikli, Y. Li, S. Watanabe, H. Kage, K. Sumi,
A new approach for in-vehicle camera traffic sign detection and recognition,
IAPR Conference on Machine Vision Applications (MVA), 2009.

2008

F. Porikli,
Constant time O(1) bilateral filtering,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008 (oral)
O. Tuzel, F. Porikli, P. Meer,
Pedestrian detection via classification on Riemannian manifolds,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2008 (Journal)
O. Tuzel, F. Porikli, P. Meer,
Learning on Lie groups for invariant detection via tracking,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
T. Parag, F. Porikli, A. Elgammal,
Boosting adaptive linear weak classifiers for online learning and tracking,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
M. Hussein, F. Porikli, L. Davis,
Kernel integral images: a framework for fast non-uniform filtering,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
F. Porikli,Y. Ivanov,T. Haga,
Robust abandoned object detection using dual foregrounds,
EURASIP Journal on Advances in Signal Processing, 2008 (Journal)
Z. Yin, F. Porikli, R. Collins,
Likelihood map fusion for visual object tracking,
IEEE Workshop on Application of Computer Vision (WACV), 2008
X. Mei, F. Porikli,
Joint tracking and video registration by factorial Hidden Markov Models,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008
F. Porikli,
Reshuffling: a fast algorithm for filtering with arbitrary kernels,
SPIE Real-Time Imaging Conference, 2008
M. Hussein, F. Porikli, L. Davis,
Towards practical evaluation of pedestrian detectors,
IEEE Workshop on Human Detection from Mobile Platforms (HDMP) in conjunction with ICRA, 2008
F. Porikli, O. Tuzel,
Class-specific intra-frame tracking for fast detectors,
International Workshop On Object Recognition, Lake Como, 2008 (Invited)

2007

O. Tuzel, F. Porikli, P. Meer,
Human detection via classification on Riemannian manifolds,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007 (oral) (Best Paper Runner-up)
J. Shao, F. Porikli, R. Chellappa,
Estimation of contour motion and deformation for nonrigid object tracking,
Journal of the Optical Society of America A, Vol. 24, No. 8, 2007 (Journal)
X. Mei, K. Zhou, H. Wu, F. Porikli,
Integrated detection, tracking and recognition for IR video-based vehicle classification,
Journal of Computers, Vol. 2, 2007 (Journal)
F. Porikli, Z. Yin,
Temporally static region detection in multi-camera systems,
IEEE Workshop on PerformanceEvalautions of Tracking Systems (PETS) in conjunction with ICCV, 2007
F. Porikli,
Detection of temporarily static regions by processing video at different frame rates,
IEEE Advanced Video and Signal based Surveillance (AVSS), 2007
X. Mei, K. Zhou, F. Porikli,
Probabilistic visual tracking via robust template matching & incremental subspace update,
IEEE International Conference on Multimedia and Expo (ICME), 2007 (Best Paper Nomination)
F. Bashir, F. Porikli,
Collaborative tracking of objects in EPTZ cameras,
SPIE Video Communication and Image Processing (VCIP), 2007
F. Porikli, T. Kocak,
Fast distance transform computation using dual scan line propagation,
SPIE Real-Time Imaging, 2007

2006

F. Porikli, O. Tuzel, P. Meer,
Covariance tracking using model update based on Lie algebra,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006
F. Porikli,
Achieving real-time object detection and tracking under extreme conditions,
Journal of Real-Time Image Processing, Springer, 2006 (Journal)
O. Tuzel, F. Porikli, P. Meer,
Region covariance: a fast descriptor for detection and classification,
IEEE European Conference on Computer Vision (ECCV), 2006
F. Porikli, F. Bashir,
A complete performance evaluation platform including matrix-based measures for joint object detector and tracker systems,
IEEE Workshop on PerformanceEvalutions of Tracking Systems (PETS) in conjunction with CVPR, 2006
F. Porikli, O. Tuzel,
Fast construction of covariance matrices for arbitrary size image windows,
IEEE International Conference on Image Processing (ICIP), 2006
J. Shao, R. Chellappa, F. Porikli,
Shape-regulated particle filtering for tracking non-rigid objects,
IEEE International Conference on Image Processing (ICIP), 2006
F.Porikli, T. Kocak,
Robust license plate detection using covariance descriptor in a neural network framework,
IEEE Advanced Video And Signal based Surveillance (AVSS), 2006
X. Mei, F. Porikli,
Fast image registration via joint gradient maximization: application to multi-modal data,
SPIE Electro-Optical And Infrared Systems: Technology and Applications, 2006
E. Goubet, J. Katz, F. Porikli,
Pedestrian tracking using thermal infrared imaging,
SPIE Defense & Security Symposium (DSS), 2006
F. Porikli,
Making silicon a little bit less blind: seeing and tracking humans,
SPIE OE Magazine, Newsroom Edition, 2006

2005

F. Porikli,
Integral histogram: a fast way to extract histogram features,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005 (oral)
F. Porikli, J. Thornton,
Shadow flow: A recursive method to learn moving cast shadows,
IEEE International Conference on Computer Vision (ICCV), 2005
F. Porikli, O. Tuzel,
Multi-kernel object tracking,
IEEE International Conference on Multimedia and Expo (ICME), 2005
F. Porikli,
Ambiguity detection by fusion and conformity: a spectral clustering approach,
IEEE Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS), 2005
F. Porikli, J. Shao, H. Maehara,
HeliTele: road rxtraction from helicopter video,
IAPR Conference on Machine Vision Applications (MVA), 2005
F. Porikli, O. Tuzel,
Object tracking in low-frame-rate video,
SPIE Image and Video Communication and Processing, 2005
O. Tuzel, F. Porikli, P. Meer,
A Bayesian approach to background modeling,
IEEE Workshop on Real-time Machine Vision for Intelligent Vehicles (RMVIV) in conjunction with CVPR, 2005
F. Porikli,
Computationally efficient histogram extraction for rectangular image regions,
SPIE Real-Time Imaging, 2005
C. Wren, F. Porikli,
Waviz: spectral similarity for object detection,
IEEE Workshop onApplicaitonopf Computer Vision (WACV / MOTIONS), 2005
F. Porikli,
Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images,
IEEE Workshop onApplicaitonopf Computer Vision (WACV / MOTIONS), 2005
F. Porikli, O. Tuzel,
Bayesian background generation based foreground detection,
ACM Workshop on Video Surveillance & Sensor Networks (VSSN) in conjunction with ACM Multimedia, 2005
F. Zilani, S. Velastin, F. Porikli, L. Marcenaro, T. Kelliher, A. Cavallaro, P. Bruneaut,
Performance evaluation of event detection solutions: the CREDS experience,
IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), 2005
F. Porikli, C. Wren,
Change detection by frequency decomposition,
IEEE Workshop on Image and Audio analysis for Multimedia Interactive Services (WIAMIS), 2005

2004

F. Porikli, Y. Wang,
Automatic video object segmentation using volume growing and hierarchical clustering,
Journal of Applied Signal Processing, special issue on Object-Based and Semantic Image and Video Analysis, July 2004 (Journal)
F. Porikli, T. Haga,
Event detection by eigenvector decomposition using object and frame features,
IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2004
F. Porikli,
Trajectory distance metric using Hidden Markov Model based representation,
IEEE Workshop on Performance Evaluation of Tracking Systems (PETS) in conjunction with ECCV, 2004
F. Porikli,
Clustering variable length sequences by eigenvector decomposition using HMMs,
International Workshop on Structural Syntactic Pattern Recognition (SSPR) in conjunction with ICPR, 2004
F. Porikli, X. Li,
Traffic congestion analysis in compressed video without tracking,
IEEE Intelligent Vehicles Symposium (IV), 2004
F. Porikli,
Learning object trajectory patterns by spectral clustering,
IEEE International Conference on Multimedia and Expo (ICME), 2004
F. Porikli,
Nonlinear warping function recovery by scan-line search using dynamic programming,
IEEE International Conference on Image Processing (ICIP), 2004
X. Li, F. Porikli,
A Hidden Markov Model framework for traffic event detection using video features,
IEEE International Conference on Image Processing (ICIP), 2004
F. Porikli,
Automatic image segmentation by solving Eikonal equation based on Gaussian mixture models,
IS&T / SPIE Symposium on Electronic Imaging, 2004
F. Porikli,
Real-time video object segmentation for MPEG encoded video sequences,
IS&T / SPIE Symposium on Electronic Imaging, San Jose, 2004
F. Porikli,
Analysis of down conversion filters,
Technical Report, MERL, 2004

2003

F. Porikli,
Multi-camera object recognition and object-based summary generation system,
Advanced Video-Based Surveillance Systems, Kluwer Press, 2003 (Book Chapter)
F. Porikli, O. Tuzel,
Human body tracking by adaptive background models and mean-shift analysis,
IEEE Workshop on PerformanceEvalautions of Tracking Systems (PETS) in conjunction with ICVS, 2003
F. Porikli,
Road extraction by point-wise Gaussian models,
SPIE-AeroSense,Algorithms and Technologies forMulti-spectral, Hyper-spectral,Ultra-spectral Imagery Conference, 2003
F. Porikli,
Sensitivity characteristics of cross-correlation distance metric and model function,
Annual Conference on Information Sciences and Systems, 2003
F. Porikli, A. Divakaran,
Multi-camera calibration, object tracking and query generation,
IEEE International Conference on Multimedia and Expo (ICME), 2003
F. Porikli,
Inter-camera color calibration by correlation model functions,
IEEE International Conference on Image Processing, Barcelona (ICIP), 2003

2002-older

F. Porikli, Y. Wang,
Constrained region extraction of video objects by color masks and MPEG-7 descriptors,
IEEE International Conference on Multimedia and Expo (ICME), 2002
F. Porikli,
Automatic threshold determination of centroid-linkage region growing by MPEG-7 dominant color descriptors,
IEEE International Conference on Image Processing (ICIP), 2002
F. Porikli, Z. Sahinoglu,
An online renegotiation-based bandwidth management with circuit assignment for VBR traffic in communication networks,
6th SCI, 2002
F. Porikli,
Accurate detection of edge orientation for color and multi spectral imagery,
IEEE International Conference on Image Processing (ICIP), 2001
F. Porikli, Y. Wang,
An unsupervised multi-resolution object extraction algorithm using video-cubes,
IEEE International Conference on Image Processing (ICIP), 2001
F. Porikli, Z. Sahinoglu,
Dynamic bandwidth allocation with optimal number of renegotiations in ATM networks,
IEEE International Conference on Computer Communications and Networks (ICCCN) 2001, 2001
F. Porikli,
Image simplification by robust estimator based reconstruction filter,
16th International Symposium on Computer and Information Sciences (ISCIS), 2001
F. Porikli,
Video object segmentation by volume growing using feature-based motion estimator,
16thInterantional Symposium on Computer and Information Sciences (ISCIS), 2001
F. Porikli,
Object segmentation of color video sequences,
International Conference on Computer Analysis of Images and Pattern (CAIP), 2001
F. Porikli, T. Kearon,
Unsupervised road extraction algorithm for low-resolution satellite imagery,
IEEE International Conference on Pattern Recognition and Remote Sensing (PRRS), 2000
F. Porikli, Y. Wang, C. Swain,
Adaptive stripe based patch matching for depth estimation,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1997
F. Porikli, Y. Wang
Stripe mesh based disparity estimation by using 3-D Hough transform,
IEEE International Conference on Image Processing (ICIP), 1997
F. Porikli, Y. Wang,
Disparity estimation by patch matching,
IEEE Picture Coding Symposium (PCS), 1997

PhD Thesis: "Video Object Segmentation"

Excerpt from the introduction:

More and more visual information is available in digital form, in various places and on various media. The emergence of digital video and its proliferation in multimedia applications has created a significant demand for content-based representation of visual information. Main purpose of video segmentation is to enable content-based representation by extracting objects of interest from a series of consecutive video frames. Briefly, the motivation behind video segmentation can be categorized as the applications in indexing and retrieval, compression and coding, recognition, identification, and understanding of video scenes, editing, manipulation, and animation.

Video databases on the market today allow only limited capability of or domain limited searching for video using characteristics like color, texture, and simpler motion statistics. If video can be stored in the form of individual objects, indexing and retrieval of visual information is as simple as that of textual information. An essential tool in the management of visual records is the ability to automatically describe and index the content of video sequences in a meaningful manner. Such a facility would allow recovery of desired video segments or objects from a very large database of video sequences. The efficient use of stock film archives and identification of specific activities in surveillance videos are among the potential applications.

From a compression point of view, video segmentation is essential for object-based video coding standards, i.e. MPEG-4. Due to the vast data size of video sequences, communicating digital video over the bandwidth limited network sources demands competent coding techniques. Having an object-based representation scheme that identifies the important parts of image frames, video sequences can also be encoded efficiently to satisfy transmission requirements. Videoconferencing is one of the applications that benefit from object-based coding.

Video segmentation is key to many robotic vision applications. Most vision based autonomous vehicles acquire information on their surroundings by analyzing video. Particularly, it is required for high-level image understanding and scene interpretation such as spotting and tracking of special events in surveillance video. For instance, pedestrian and highway traffic can be regularized using density evaluations obtained by segmenting people and vehicles. By object segmentation, speeding and suspicious moving cars, road obstacles, strange activities can be detected. Forbidden zones, parking lots, elevators can be monitored automatically. Gesture recognition as well as visual biometric extraction can be done for user interfaces.

With a good segmentation, it is possible to access and manipulate objects in video. To illustrate, traffic enforcement currently employs supervised video segmentation tools to acquire identity of speeding or trespassing cars. Infotainment industry utilizes video segmentation for editing, manipulating, and animation.

Although the human being can quickly interpret the embedded semantic content from the information carried by different modalities, computer understanding of visual information is still in its primitive stage. Good segmentation tools are crucial to the success of the future standards. But tasks of automatically segmenting image sequences into semantic meaningful objects prove to be very challenging. We have currently a reasonably good understanding of the basic mechanisms underlying visual information processing, still, many questions are still open to investigation, some desperately waiting for an answer.