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ORCIDFatih Porikli
Fatih Murat Porikli
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- affiliation: NICTA, Canberra Research Laboratory, Australia
- affiliation: Mitsubishi Electric Research Laboratories (MERL), Cambridge, USA
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2020 – today
- 2024
[j101]Muzammal Naseer
, Salman H. Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Toward a Generic Diagnostic Attack. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2042-2053 (2024)- [i110]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. CoRR abs/2401.05735 (2024) - [i109]Antoine Mercier, Ramin Nakhli, Mahesh Reddy, Rajeev Yasarla, Hong Cai, Fatih Porikli, Guillaume Berger:
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation. CoRR abs/2401.07727 (2024) - [i108]Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. CoRR abs/2402.09948 (2024) - [i107]Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli:
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. CoRR abs/2402.16739 (2024) - [i106]Vibashan VS, Shubhankar Borse, Hyojin Park, Debasmit Das, Vishal M. Patel, Munawar Hayat, Fatih Porikli:
PosSAM: Panoptic Open-vocabulary Segment Anything. CoRR abs/2403.09620 (2024) - [i105]Yunxiao Shi, Manish Kumar Singh, Hong Cai, Fatih Porikli:
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions. CoRR abs/2403.12202 (2024) - [i104]Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli:
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR abs/2403.12953 (2024) - [i103]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CoRR abs/2403.18092 (2024) - 2023
- [j100]Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli:
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. Mach. Vis. Appl. 34(4): 51 (2023) - [j99]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j98]Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6403-6414 (2023) - [j97]Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang:
A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7099-7122 (2023) - [j96]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking With a Compact Latent Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8049-8062 (2023) - [c194]Yunxiao Shi, Hong Cai, Amin Ansari, Fatih Porikli:
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation. CVPR Workshops 2023: 119-129 - [c193]Guillaume Berger, Manik Dhingra, Antoine Mercier, Yashesh Savani, Sunny Panchal, Fatih Porikli:
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms. CVPR Workshops 2023: 2187-2196 - [c192]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CVPR Workshops 2023: 2220-2229 - [c191]Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli:
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. CVPR 2023: 13343-13353 - [c190]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CVPR 2023: 13691-13700 - [c189]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CVPR 2023: 19466-19477 - [c188]Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su:
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CVPR 2023: 21736-21746 - [c187]Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. GLOBECOM 2023: 3922-3927 - [c186]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. ICASSP 2023: 1-5 - [c185]Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger:
Efficient neural supersampling on a novel gaming dataset. ICCV 2023: 296-306 - [c184]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV 2023: 3825-3835 - [c183]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. ICCV 2023: 8720-8730 - [c182]Minghan Zhu, Shizhong Han, Maani Ghaffari, Hong Cai, Fatih Porikli, Shubhankar Borse:
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. ICCV 2023: 22431-22441 - [c181]Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild. ICLR 2023 - [c180]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. NeurIPS 2023 - [c179]Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli:
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. WACV (Workshops) 2023: 411-420 - [c178]Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli:
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. WACV 2023: 3286-3296 - [i102]Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano, Fatih Porikli, Amirhossein Habibian:
Skip-Attention: Improving Vision Transformers by Paying Less Attention. CoRR abs/2301.02240 (2023) - [i101]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking with a Compact Latent Network. CoRR abs/2302.00930 (2023) - [i100]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. CoRR abs/2302.14611 (2023) - [i99]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CoRR abs/2303.01573 (2023) - [i98]Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli:
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. CoRR abs/2303.02203 (2023) - [i97]Guillaume Berger, Manik Dhingra, Antoine Mercier, Yashesh Savani, Sunny Panchal, Fatih Porikli:
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms. CoRR abs/2303.04336 (2023) - [i96]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CoRR abs/2303.14078 (2023) - [i95]Minghan Zhu, Shizhong Han, Hong Cai, Shubhankar Borse, Maani Ghaffari Jadidi, Fatih Porikli:
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. CoRR abs/2303.15651 (2023) - [i94]Yunxiao Shi, Hong Cai, Amin Ansari, Fatih Porikli:
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation. CoRR abs/2304.03369 (2023) - [i93]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR abs/2304.05669 (2023) - [i92]Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli:
A Review of Deep Learning for Video Captioning. CoRR abs/2304.11431 (2023) - [i91]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. CoRR abs/2305.10764 (2023) - [i90]Shubhankar Borse, Senthil Kumar Yogamani, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Fatih Porikli:
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. CoRR abs/2306.03810 (2023) - [i89]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CoRR abs/2306.05691 (2023) - [i88]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. CoRR abs/2307.14336 (2023) - [i87]Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger:
Efficient neural supersampling on a novel gaming dataset. CoRR abs/2308.01483 (2023) - [i86]Amirhossein Habibian, Amir Ghodrati, Noor Fathima Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CoRR abs/2312.08128 (2023) - 2022
- [j95]Wenguan Wang, Ming-Ming Cheng, Haibin Ling, Fatih Porikli:
Editorial: Human visual saliency and artificial neural attention in deep learning. Neurocomputing 491: 489-491 (2022) - [j94]Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3523-3542 (2022) - [j93]Peixian Zhuang, Jiamin Wu, Fatih Porikli, Chongyi Li:
Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors. IEEE Trans. Image Process. 31: 5442-5455 (2022) - [c177]Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli:
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CVPR 2022: 1259-1269 - [c176]Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort:
Simple and Efficient Architectures for Semantic Segmentation. CVPR Workshops 2022: 2627-2635 - [c175]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CVPR 2022: 2812-2821 - [c174]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CVPR 2022: 3171-3181 - [c173]Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Frank Mayer, Balaji Calidas, Nilesh Prasad Pandey, Fei Yin, Fatih Porikli:
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. CVPR 2022: 21399-21406 - [c172]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. ECCV (35) 2022: 213-229 - [c171]Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati:
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection. ECCV (10) 2022: 300-316 - [c170]Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Learning Implicit Feature Alignment Function for Semantic Segmentation. ECCV (29) 2022: 487-505 - [c169]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
Online Adaptive Personalization for Face Anti-Spoofing. ICIP 2022: 351-355 - [c168]Debasmit Das, Sungrack Yun, Fatih Porikli:
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR 2022 - [c167]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022 - [c166]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
A Personalized Benchmark for Face Anti-spoofing. WACV (Workshops) 2022: 338-348 - [c165]Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli:
Perceptual Consistency in Video Segmentation. WACV 2022: 2623-2632 - [c164]Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli:
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. WACV 2022: 2633-2642 - [c163]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV 2022: 2703-2713 - [i85]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i84]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. CoRR abs/2203.09594 (2022) - [i83]Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati:
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection. CoRR abs/2204.02397 (2022) - [i82]Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli:
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CoRR abs/2204.05370 (2022) - [i81]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CoRR abs/2204.07262 (2022) - [i80]Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort:
Simple and Efficient Architectures for Semantic Segmentation. CoRR abs/2206.08236 (2022) - [i79]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CoRR abs/2206.08423 (2022) - [i78]Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Learning Implicit Feature Alignment Function for Semantic Segmentation. CoRR abs/2206.08655 (2022) - [i77]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
Online Adaptive Personalization for Face Anti-spoofing. CoRR abs/2207.12272 (2022) - [i76]Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli:
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. CoRR abs/2210.06778 (2022) - [i75]Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild. CoRR abs/2210.07199 (2022) - [i74]Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su:
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CoRR abs/2212.01558 (2022) - [i73]Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli:
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. CoRR abs/2212.06242 (2022) - [i72]Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022) - 2021
- [j92]Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli:
Sketch-specific data augmentation for freehand sketch recognition. Neurocomputing 456: 528-539 (2021) - [j91]Hongyang Chen, Sergiy A. Vorobyov, Hing Cheung So, Fauzia Ahmad, Fatih Porikli:
Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. 15(3): 433-437 (2021) - [j90]Hongyang Chen, Fauzia Ahmad, Sergiy A. Vorobyov, Fatih Porikli:
Tensor Decompositions in Wireless Communications and MIMO Radar. IEEE J. Sel. Top. Signal Process. 15(3): 438-453 (2021) - [j89]Saeed Anwar, Zeeshan Hayder, Fatih Porikli:
Deblur and deep depth from single defocus image. Mach. Vis. Appl. 32(1): 34 (2021) - [j88]Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli:
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1515-1529 (2021) - [j87]Hafeez Anwar, Saeed Anwar, Sebastian Zambanini, Fatih Porikli:
Deep ancient Roman Republican coin classification via feature fusion and attention. Pattern Recognit. 114: 107871 (2021) - [j86]Jian Dong, Wankou Yang, Yazhou Yao, Fatih Porikli:
Knowledge memorization and generation for action recognition in still images. Pattern Recognit. 120: 108188 (2021) - [c162]Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli:
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. BMVC 2021: 41 - [c161]Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. BMVC 2021: 175 - [c160]Mihir Jain, Haitam Ben Yahia, Amir Ghodrati, Amirhossein Habibian, Fatih Porikli:
Conditional Model Selection for Efficient Video Understanding. BMVC 2021: 312 - [c159]Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli:
Phase Selective Convolution. CVPR Workshops 2021: 3199-3208 - [c158]Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli:
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. CVPR 2021: 5901-5911 - [c157]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. ICCV 2021: 7688-7697 - [c156]Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli:
Efficient Action Recognition via Dynamic Knowledge Propagation. ICCV 2021: 13699-13708 - [c155]Hong Cai, Fei Yin, Tushar Singhal, Sandeep Pendyam, Parham Noorzad, Yinhao Zhu, Khoi Nguyen, Janarbek Matai, Bharath Ramaswamy, Frank Mayer, Chirag Patel, Abhijit Khobare, Fatih Porikli:
Real-Time and Accurate Self-Supervised Monocular Depth Estimation on Mobile Device. NeurIPS (Competition and Demos) 2021: 308-313 - [c154]Farhad G. Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Ishaque Kadampot, Brian Buesker, Vamsi Vegunta, Fatih Porikli:
Deep Learning Frameworks for Weakly-Supervised Indoor Localization. NeurIPS (Competition and Demos) 2021: 349-354 - [c153]Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli:
Modality-Agnostic Topology Aware Localization. NeurIPS 2021: 10457-10468 - [i71]Kambiz Azarian, Fatih Porikli:
Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning. CoRR abs/2103.10629 (2021) - [i70]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. CoRR abs/2103.14641 (2021) - [i69]Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli:
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. CoRR abs/2104.02745 (2021) - [i68]Debasmit Das, Yash Bhalgat, Fatih Porikli:
Data-driven Weight Initialization with Sylvester Solvers. CoRR abs/2105.10335 (2021) - [i67]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021) - [i66]Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. CoRR abs/2107.01153 (2021) - [i65]Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli:
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. CoRR abs/2110.12369 (2021) - [i64]Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli:
Perceptual Consistency in Video Segmentation. CoRR abs/2110.12385 (2021) - [i63]Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli:
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. CoRR abs/2110.12516 (2021) - [i62]Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. CoRR abs/2111.02333 (2021) - [i61]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR abs/2111.06500 (2021) - [i60]Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR abs/2111.12265 (2021) - 2020
- [j85]Xin Yu, Fatih Porikli, Basura Fernando, Richard Hartley:
Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks. Int. J. Comput. Vis. 128(2): 500-526 (2020) - [j84]Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts. Int. J. Comput. Vis. 128(12): 2979-2999 (2020) - [j83]Guoqing Zhang, Fatih Porikli, Huaijiang Sun, Quansen Sun, Guiyu Xia, Yuhui Zheng:
Cost-sensitive joint feature and dictionary learning for face recognition. Neurocomputing 391: 177-188 (2020) - [j82]Dongdong Li, Gongjian Wen, Yangliu Kuai, Lingxiao Zhu, Fatih Porikli:
Robust visual tracking with channel attention and focal loss. Neurocomputing 401: 295-307 (2020) - [j81]Xin Yu, Fatemeh Shiri, Bernard Ghanem, Fatih Porikli:
Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2148-2164 (2020) - [j80]Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli:
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2926-2943 (2020) - [j79]Chongyi Li, Saeed Anwar, Fatih Porikli:
Underwater scene prior inspired deep underwater image and video enhancement. Pattern Recognit. 98 (2020) - [j78]Guodong Ding, Salman H. Khan, Zhenmin Tang, Fatih Porikli:
Feature mask network for person re-identification. Pattern Recognit. Lett. 137: 91-98 (2020) - [j77]Dongdong Li, Fatih Porikli, Gongjian Wen, Yangliu Kuai:
When Correlation Filters Meet Siamese Networks for Real-Time Complementary Tracking. IEEE Trans. Circuits Syst. Video Technol. 30(2): 509-519 (2020) - [j76]Muming Zhao, Chongyang Zhang, Jian Zhang, Fatih Porikli, Bingbing Ni, Wenjun Zhang:
Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3651-3662 (2020) - [j75]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli, Quan Pan:
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation. IEEE Trans. Image Process. 29: 1748-1761 (2020) - [c152]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CVPR 2020: 259-268 - [c151]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Identity Enhanced Residual Image Denoising. CVPR Workshops 2020: 2201-2210 - [c150]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c149]Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli:
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. ECCV (20) 2020: 378-395 - [c148]Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli:
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. HUMA @ ACM Multimedia 2020: 33-41 - [c147]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. NeurIPS 2020 - [c146]Ratheesh Kalarot, Tao Li, Fatih Porikli:
Component Attention Guided Face Super-Resolution Network: CAGFace. WACV 2020: 359-369 - [i59]Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. CoRR abs/2001.05566 (2020) - [i58]Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. CoRR abs/2001.06810 (2020) - [i57]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Identity Enhanced Residual Image Denoising. CoRR abs/2004.13523 (2020) - [i56]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CoRR abs/2006.04924 (2020) - [i55]Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli:
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. CoRR abs/2007.13098 (2020) - [i54]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. CoRR abs/2007.14672 (2020) - [i53]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. CoRR abs/2008.02454 (2020)
2010 – 2019
- 2019
- [j74]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey. IEEE Access 7: 1859-1887 (2019) - [j73]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-Preserving Face Recovery from Stylized Portraits. Int. J. Comput. Vis. 127(6-7): 863-883 (2019) - [j72]Dongdong Li, Gongjian Wen, Yangliu Kuai, Jingjing Xiao, Fatih Porikli:
Learning target-aware correlation filters for visual tracking. J. Vis. Commun. Image Represent. 58: 149-159 (2019) - [j71]Dongdong Li, Gongjian Wen, Yangliu Kuai, Fatih Porikli:
Beyond feature integration: a coarse-to-fine framework for cascade correlation tracking. Mach. Vis. Appl. 30(3): 519-528 (2019) - [j70]Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of deep neural networks with spectral dropout. Neural Networks 110: 82-90 (2019) - [j69]Wenguan Wang, Jianbing Shen, Fatih Porikli, Ruigang Yang:
Semi-Supervised Video Object Segmentation with Super-Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 985-998 (2019) - [j68]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Image Deblurring with a Class-Specific Prior. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2112-2130 (2019) - [j67]Fatih Porikli, Larry S. Davis, Qi Wang, Yi Li, Carlo S. Regazzoni:
Introduction to the Special Section on Deep Learning for Visual Surveillance. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2535-2537 (2019) - [j66]Hanxi Li, Xinyu Wang, Fumin Shen, Yi Li, Fatih Porikli, Mingwen Wang:
Real-Time Deep Tracking via Corrective Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2600-2612 (2019) - [j65]Xingping Dong, Jianbing Shen, Dongming Wu, Kan Guo, Xiaogang Jin, Fatih Porikli:
Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking. IEEE Trans. Image Process. 28(7): 3516-3527 (2019) - [j64]Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, Chunping Hou:
Video Saliency Detection via Sparsity-Based Reconstruction and Propagation. IEEE Trans. Image Process. 28(10): 4819-4831 (2019) - [j63]Yingyue Xu, Xiaopeng Hong, Fatih Porikli, Xin Liu, Jie Chen, Guoying Zhao:
Saliency Integration: An Arbitrator Model. IEEE Trans. Multim. 21(1): 98-113 (2019) - [j62]Hongwei Hu, Bo Ma, Jianbing Shen, Hanqiu Sun, Ling Shao, Fatih Porikli:
Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks. IEEE Trans. Multim. 21(2): 510-521 (2019) - [j61]Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification. IEEE Trans. Multim. 21(11): 2891-2902 (2019) - [j60]Jianbing Shen, Xingping Dong, Jianteng Peng, Xiaogang Jin, Ling Shao, Fatih Porikli:
Submodular Function Optimization for Motion Clustering and Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2637-2649 (2019) - [c145]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c144]Ratheesh Kalarot, Fatih Porikli:
MultiBoot Vsr: Multi-Stage Multi-Reference Bootstrapping for Video Super-Resolution. CVPR Workshops 2019: 2060-2069 - [c143]Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. CVPR 2019: 3623-3632 - [c142]Xin Yu, Yurun Tian, Fatih Porikli, Richard Hartley, Hongdong Li, Huub Heijnen, Vassileios Balntas:
Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss. ICCV Workshops 2019: 2893-2902 - [c141]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895 - [c140]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Recovering Faces From Portraits with Auxiliary Facial Attributes. WACV 2019: 406-415 - [c139]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. WACV 2019: 1300-1307 - [i52]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Recovering Faces from Portraits with Auxiliary Facial Attributes. CoRR abs/1904.03612 (2019) - [i51]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Identity-preserving Face Recovery from Stylized Portraits. CoRR abs/1904.04241 (2019) - [i50]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. CoRR abs/1905.11736 (2019) - [i49]Guodong Ding, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. CoRR abs/1906.01308 (2019) - [i48]Hafeez Anwar, Saeed Anwar, Sebastian Zambanini, Fatih Porikli:
CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention. CoRR abs/1908.09428 (2019) - [i47]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli, Quan Pan:
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation. CoRR abs/1910.02442 (2019) - [i46]Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli:
Sketch-Specific Data Augmentation for Freehand Sketch Recognition. CoRR abs/1910.06038 (2019) - [i45]Ratheesh Kalarot, Tao Li, Fatih Porikli:
Component Attention Guided Face Super-Resolution Network: CAGFace. CoRR abs/1910.08761 (2019) - [i44]Tong Zhang, Fatih Porikli:
Sparse Coding on Cascaded Residuals. CoRR abs/1911.02749 (2019) - 2018
- [j59]Chongyi Li, Jichang Guo, Fatih Porikli, Huazhu Fu, Yanwei Pang:
A Cascaded Convolutional Neural Network for Single Image Dehazing. IEEE Access 6: 24877-24887 (2018) - [j58]Tong Zhang, Fatih Porikli:
Cascade residuals guided nonlinear dictionary learning. Comput. Vis. Image Underst. 173: 86-97 (2018) - [j57]Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli:
Video anomaly detection and localization by local motion based joint video representation and OCELM. Neurocomputing 277: 161-175 (2018) - [j56]Jun Yu, Xue Mei, Fatih Porikli, Jason J. Corso:
Machine learning for big visual analysis. Mach. Vis. Appl. 29(6): 929-931 (2018) - [j55]Wenguan Wang, Jianbing Shen, Ruigang Yang, Fatih Porikli:
Saliency-Aware Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 20-33 (2018) - [j54]Siqi Wang, Qiang Liu, En Zhu, Fatih Porikli, Jianping Yin:
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting. Pattern Recognit. 74: 198-211 (2018) - [j53]Chongyi Li, Jichang Guo, Fatih Porikli, Yanwei Pang:
LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement. Pattern Recognit. Lett. 104: 15-22 (2018) - [j52]Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Sicheng Zhao, Fatih Porikli:
Distinctive action sketch for human action recognition. Signal Process. 144: 323-332 (2018) - [j51]Dongdong Li, Gongjian Wen, Yangliu Kuai, Fatih Porikli:
End-to-End Feature Integration for Correlation Filter Tracking With Channel Attention. IEEE Signal Process. Lett. 25(12): 1815-1819 (2018) - [j50]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 35(1): 17-19 (2018) - [j49]Gao Zhu, Fatih Porikli, Hongdong Li:
Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters. IEEE Trans. Circuits Syst. Video Technol. 28(2): 314-326 (2018) - [j48]Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1358-1368 (2018) - [j47]Wangmeng Zuo, Liang Lin, Alan L. Yuille, Horst Bischof, Lei Zhang, Fatih Porikli:
Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2441-2448 (2018) - [j46]Xin Yu, Fatih Porikli:
Imagining the Unimaginable Faces by Deconvolutional Networks. IEEE Trans. Image Process. 27(6): 2747-2761 (2018) - [j45]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning. IEEE Trans. Image Process. 27(11): 5652-5667 (2018) - [j44]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Large-Scale Metric Learning: A Voyage From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4339-4346 (2018) - [j43]Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Ling Shao, Fatih Porikli:
Robust Object Tracking by Nonlinear Learning. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4769-4781 (2018) - [j42]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
A Comprehensive Look at Coding Techniques on Riemannian Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5701-5712 (2018) - [c138]Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. ACCV (1) 2018: 547-563 - [c137]Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli:
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR 2018: 518-527 - [c136]Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli:
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes. CVPR 2018: 908-917 - [c135]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. CVPR 2018: 1149-1158 - [c134]Hongtao Yang, Xuming He, Fatih Porikli:
One-Shot Action Localization by Learning Sequence Matching Network. CVPR 2018: 1450-1459 - [c133]Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. CVPR 2018: 5774-5783 - [c132]Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, Richard Hartley:
Face Super-Resolution Guided by Facial Component Heatmaps. ECCV (9) 2018: 219-235 - [c131]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. ECCV (16) 2018: 815-833 - [c130]Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-Preserving Face Recovery from Portraits. WACV 2018: 102-111 - [c129]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. WACV 2018: 1377-1386 - [c128]Hongtao Yang, Xuming He, Fatih Porikli:
Instance-Aware Detailed Action Labeling in Videos. WACV 2018: 1577-1586 - [i43]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-preserving Face Recovery from Portraits. CoRR abs/1801.02279 (2018) - [i42]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. CoRR abs/1802.01093 (2018) - [i41]Fatemeh Shiri, Xin Yu, Fatih Porikli, Piotr Koniusz:
Face Destylization. CoRR abs/1802.01237 (2018) - [i40]Muzammal Naseer, Salman Hameed Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D: A Survey. CoRR abs/1803.03352 (2018) - [i39]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. CoRR abs/1803.06049 (2018) - [i38]Chongyi Li, Jichang Guo, Fatih Porikli, Huazhu Fu, Yanwei Pang:
A Cascaded Convolutional Neural Network for Single Image Dehazing. CoRR abs/1803.07955 (2018) - [i37]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. CoRR abs/1803.10628 (2018) - [i36]Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification. CoRR abs/1805.06118 (2018) - [i35]Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. CoRR abs/1806.09183 (2018) - [i34]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense against localized adversarial attacks. CoRR abs/1807.01216 (2018) - [i33]Saeed Anwar, Chongyi Li, Fatih Porikli:
Deep Underwater Image Enhancement. CoRR abs/1807.03528 (2018) - [i32]Muzammal Naseer, Salman Hameed Khan, Shafin Rahman, Fatih Porikli:
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. CoRR abs/1811.09020 (2018) - 2017
- [j41]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going deeper into action recognition: A survey. Image Vis. Comput. 60: 4-21 (2017) - [j40]Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Xuesong Jiang, Fatih Porikli:
Breaking video into pieces for action recognition. Multim. Tools Appl. 76(21): 22195-22212 (2017) - [j39]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
No fuss metric learning, a Hilbert space scenario. Pattern Recognit. Lett. 98: 83-89 (2017) - [j38]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding [From the Guest Editors]. IEEE Signal Process. Mag. 34(6): 24-25 (2017) - [j37]Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun:
Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(9): 5407-5423 (2017) - [j36]Hao Zhu, Fatih Porikli:
Automatic Refinement Strategies for Manual Initialization of Object Trackers. IEEE Trans. Image Process. 26(2): 821-835 (2017) - [j35]Jianbing Shen, Jianteng Peng, Xingping Dong, Ling Shao, Fatih Porikli:
Higher Order Energies for Image Segmentation. IEEE Trans. Image Process. 26(10): 4911-4922 (2017) - [j34]Saeed Anwar, Fatih Porikli, Cong Phuoc Huynh:
Category-Specific Object Image Denoising. IEEE Trans. Image Process. 26(11): 5506-5518 (2017) - [j33]Wenguan Wang, Jianbing Shen, Fatih Porikli:
Selective Video Object Cutout. IEEE Trans. Image Process. 26(12): 5645-5655 (2017) - [j32]Lianghua Huang, Bo Ma, Jianbing Shen, Hui He, Ling Shao, Fatih Porikli:
Visual Tracking by Sampling in Part Space. IEEE Trans. Image Process. 26(12): 5800-5810 (2017) - [j31]Guoqing Zhang, Huaijiang Sun, Fatih Porikli, Yazhou Liu, Quan-Sen Sun:
Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification. IEEE Trans. Image Process. 26(12): 5922-5935 (2017) - [c127]Xin Yu, Fatih Porikli:
Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. AAAI 2017: 4327-4333 - [c126]Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He:
Multi-scale salient object detection with pyramid spatial pooling. APSIPA 2017: 1286-1291 - [c125]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Combined Internal and External Category-Specific Image Denoising. BMVC 2017 - [c124]Saeed Anwar, Zeeshan Hayder, Fatih Porikli:
Depth Estimation and Blur Removal from a Single Out-of-focus Image. BMVC 2017 - [c123]Naveed Akhtar, Ajmal S. Mian, Fatih Porikli:
Joint Discriminative Bayesian Dictionary and Classifier Learning. CVPR 2017: 3919-3928 - [c122]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CVPR 2017: 3956-3965 - [c121]Xin Yu, Fatih Porikli:
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders. CVPR 2017: 5367-5375 - [c120]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Simultaneous Stereo Video Deblurring and Scene Flow Estimation. CVPR 2017: 6987-6996 - [c119]Piotr Koniusz, Yusuf Tas, Fatih Porikli:
Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. CVPR 2017: 7139-7148 - [c118]Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli:
Face Destylization. DICTA 2017: 1-8 - [c117]Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli:
Super-Trajectory for Video Segmentation. ICCV 2017: 1680-1688 - [c116]Salman H. Khan, Munawar Hayat, Fatih Porikli:
Scene Categorization with Spectral Features. ICCV 2017: 5639-5649 - [c115]Xinyu Wang, Hanxi Li, Yi Li, Fatih Porikli, Mingwen Wang:
Deep tracking with objectness. ICIP 2017: 660-664 - [c114]Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He:
Integrated deep and shallow networks for salient object detection. ICIP 2017: 1537-1541 - [c113]Muming Zhao, Jian Zhang, Fatih Porikli, Chongyang Zhang, Wenjun Zhang:
Learning a perspective-embedded deconvolution network for crowd counting. ICME 2017: 403-408 - [c112]Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen, Fatih Porikli:
Robust and real-time deep tracking via multi-scale domain adaptation. ICME 2017: 1338-1343 - [c111]Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Learning deep structured network for weakly supervised change detection. IJCAI 2017: 2008-2015 - [c110]Jing Zhang, Yuchao Dai, Fatih Porikli:
Deep Salient Object Detection by Integrating Multi-level Cues. WACV 2017: 1-10 - [c109]Haoyang Zhang, Xuming He, Fatih Porikli:
Learning Spatial Transforms for Refining Object Segment Proposals. WACV 2017: 37-46 - [c108]Jue Wang, Anoop Cherian, Fatih Porikli:
Ordered Pooling of Optical Flow Sequences for Action Recognition. WACV 2017: 168-176 - [i31]Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen, Fatih Porikli:
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation. CoRR abs/1701.00561 (2017) - [i30]Jue Wang, Anoop Cherian, Fatih Porikli:
Ordered Pooling of Optical Flow Sequences for Action Recognition. CoRR abs/1701.03246 (2017) - [i29]Wenguan Wang, Jianbing Shen, Fatih Porikli:
Selective Video Cutout using Global Pyramid Models and Local Uncertainty Propagation. CoRR abs/1702.08640 (2017) - [i28]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Action Representation Using Classifier Decision Boundaries. CoRR abs/1704.01716 (2017) - [i27]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Simultaneous Stereo Video Deblurring and Scene Flow Estimation. CoRR abs/1704.03273 (2017) - [i26]Xingping Dong, Jianbing Shen, Fatih Porikli:
Quadruplet Network with One-Shot Learning for Visual Tracking. CoRR abs/1705.07222 (2017) - [i25]Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He:
Integrated Deep and Shallow Networks for Salient Object Detection. CoRR abs/1706.00530 (2017) - [i24]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning. CoRR abs/1706.08653 (2017) - [i23]Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He:
Deep Edge-Aware Saliency Detection. CoRR abs/1708.04366 (2017) - [i22]Arash Shahriari, Fatih Porikli:
Multipartite Pooling for Deep Convolutional Neural Networks. CoRR abs/1710.07435 (2017) - [i21]Guodong Ding, Salman Hameed Khan, Zhenmin Tang, Fatih Porikli:
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification. CoRR abs/1711.07155 (2017) - [i20]Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of Deep Neural Networks with Spectral Dropout. CoRR abs/1711.08591 (2017) - [i19]Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. CoRR abs/1711.09501 (2017) - [i18]Chongyi Li, Jichang Guo, Fatih Porikli, Chunle Guo, Huazhu Fu, Xi Li:
DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement. CoRR abs/1712.00621 (2017) - [i17]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Chaining Identity Mapping Modules for Image Denoising. CoRR abs/1712.02933 (2017) - 2016
- [j30]Hanxi Li, Yi Li, Fatih Porikli:
Convolutional neural net bagging for online visual tracking. Comput. Vis. Image Underst. 153: 120-129 (2016) - [j29]Dong Liu, Sheng-Sheng Wang, Fatih Porikli:
Spatial encoding of visual words for image classification. J. Electronic Imaging 25(3): 033008 (2016) - [j28]Matej Kristan, Jiri Matas, Ales Leonardis, Tomás Vojír, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2137-2155 (2016) - [j27]Ibrahim Saygin Topkaya, Hakan Erdogan, Fatih Porikli:
Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes. Signal Image Video Process. 10(5): 795-802 (2016) - [j26]Hanxi Li, Yi Li, Fatih Porikli:
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking. IEEE Trans. Image Process. 25(4): 1834-1848 (2016) - [j25]Wenguan Wang, Jianbing Shen, Ling Shao, Fatih Porikli:
Correspondence Driven Saliency Transfer. IEEE Trans. Image Process. 25(11): 5025-5034 (2016) - [j24]Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao, Ming-Hsuan Yang, Fatih Porikli:
Visual Tracking Under Motion Blur. IEEE Trans. Image Process. 25(12): 5867-5876 (2016) - [j23]Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework. IEEE Trans. Intell. Transp. Syst. 17(4): 1002-1014 (2016) - [c107]Tong Zhang, Fatih Porikli:
Sparse Coding on Cascaded Residuals. ACCV (4) 2016: 19-34 - [c106]Haoyang Zhang, Xuming He, Fatih Porikli:
Learning to Generate Object Segment Proposals with Multi-modal Cues. ACCV (1) 2016: 121-136 - [c105]Yurui Xie, Fatih Porikli, Xuming He:
Object-Aware Dictionary Learning with Deep Features. ACCV (2) 2016: 237-253 - [c104]Gao Zhu, Fatih Porikli, Hongdong Li:
Model-Free Multiple Object Tracking with Shared Proposals. ACCV (2) 2016: 288-304 - [c103]Gao Zhu, Fatih Porikli, Hongdong Li:
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals. CVPR 2016: 943-951 - [c102]Gao Zhu, Fatih Porikli, Hongdong Li:
Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS. CVPR Workshops 2016: 1265-1272 - [c101]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD Met Hilbert. CVPR 2016: 5185-5194 - [c100]Kohei Kurihara, Yoshitaka Toyoda, Shotaro Moriya, Daisuke Suzuki, Takeo Fujita, Narihiro Matoba, Jay E. Thorton, Fatih Porikli:
Light-Weight Single Image Super-Resolution via Pattern-wise Regression Function. Digital Photography and Mobile Imaging 2016: 1-7 - [c99]Piotr Koniusz, Anoop Cherian, Fatih Porikli:
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. ECCV (4) 2016: 37-53 - [c98]Xin Yu, Fatih Porikli:
Ultra-Resolving Face Images by Discriminative Generative Networks. ECCV (5) 2016: 318-333 - [c97]Hao Zhou, Jose M. Alvarez, Fatih Porikli:
Less Is More: Towards Compact CNNs. ECCV (4) 2016: 662-677 - [c96]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c95]Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c94]Haoyang Zhang, Xuming He, Fatih Porikli, Laurent Kneip:
Semantic context and depth-aware object proposal generation. ICIP 2016: 1-5 - [c93]Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli:
Detection and characterization of Intrinsic symmetry of 3D shapes. ICPR 2016: 1815-1820 - [c92]Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli:
Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification. ICPR 2016: 3398-3403 - [c91]Yeqing Wang, Yi Li, Fatih Porikli:
Finetuning Convolutional Neural Networks for visual aesthetics. ICPR 2016: 3554-3559 - [c90]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Image set classification by symmetric positive semi-definite matrices. WACV 2016: 1-8 - [e7]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg:
Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I. Lecture Notes in Computer Science 10072, Springer 2016, ISBN 978-3-319-50834-4 [contents] - [e6]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg:
Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II. Lecture Notes in Computer Science 10073, Springer 2016, ISBN 978-3-319-50831-3 [contents] - [i16]Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Murat Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. CoRR abs/1603.04525 (2016) - [i15]Piotr Koniusz, Anoop Cherian, Fatih Porikli:
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. CoRR abs/1604.00239 (2016) - [i14]Gao Zhu, Fatih Porikli, Hongdong Li:
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals. CoRR abs/1605.01839 (2016) - [i13]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going Deeper into Action Recognition: A Survey. CoRR abs/1605.04988 (2016) - [i12]Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Ahmed Sohel, Roberto Togneri:
Weakly Supervised Change Detection in a Pair of Images. CoRR abs/1606.02009 (2016) - [i11]Piotr Koniusz, Yusuf Tas, Fatih Porikli:
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors. CoRR abs/1611.08195 (2016) - [i10]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CoRR abs/1611.08350 (2016) - 2015
- [j22]Feng Li, Fatih Porikli:
Biomechanical model-based 4DCT simulation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 3(4): 222-233 (2015) - [j21]Zhuolin Jiang, Zhe Lin, Haibin Ling, Fatih Porikli, Ling Shao, Pavan K. Turaga:
Discriminative feature learning from big data for visual recognition. Pattern Recognit. 48(10): 2961-2963 (2015) - [j20]Wenguan Wang, Jianbing Shen, Xuelong Li, Fatih Porikli:
Robust Video Object Cosegmentation. IEEE Trans. Image Process. 24(10): 3137-3148 (2015) - [c89]Feng Li, Fatih Porikli:
Enforcing Point-wise Priors on Binary Segmentation. BMVC 2015: 140.1-140.11 - [c88]Wenguan Wang, Jianbing Shen, Fatih Porikli:
Saliency-aware geodesic video object segmentation. CVPR 2015: 3395-3402 - [c87]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
More about VLAD: A leap from Euclidean to Riemannian manifolds. CVPR 2015: 4951-4960 - [c86]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Approximate infinite-dimensional Region Covariance Descriptors for image classification. ICASSP 2015: 1364-1368 - [c85]Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Class-Specific Image Deblurring. ICCV 2015: 495-503 - [c84]Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli:
Linearization to Nonlinear Learning for Visual Tracking. ICCV 2015: 4400-4407 - [c83]Gao Zhu, Fatih Porikli, Yansheng Ming, Hongdong Li:
Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM. WACV 2015: 63-70 - [c82]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Material Classification on Symmetric Positive Definite Manifolds. WACV 2015: 749-756 - [i9]Chinmay Hegde, Oncel Tuzel, Fatih Porikli:
Efficient Upsampling of Natural Images. CoRR abs/1503.00040 (2015) - [i8]Hanxi Li, Yi Li, Fatih Porikli:
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking. CoRR abs/1503.00072 (2015) - [i7]Matej Kristan, Jiri Matas, Ales Leonardis, Tomas Vojir, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. CoRR abs/1503.01313 (2015) - [i6]Gao Zhu, Fatih Porikli, Hongdong Li:
Tracking Randomly Moving Objects on Edge Box Proposals. CoRR abs/1507.08085 (2015) - [i5]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD met Hilbert. CoRR abs/1507.08373 (2015) - [i4]Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast detection of multiple objects in traffic scenes with a common detection framework. CoRR abs/1510.03125 (2015) - [i3]Aiwen Jiang, Fang Wang, Fatih Porikli, Yi Li:
Compositional Memory for Visual Question Answering. CoRR abs/1511.05676 (2015) - 2014
- [j19]Fatih Porikli, Luc Van Gool:
Special issue on car navigation and vehicle systems. Mach. Vis. Appl. 25(3): 545-546 (2014) - [j18]Yuejie Chi, Fatih Porikli:
Classification and Boosting with Multiple Collaborative Representations. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1519-1531 (2014) - [j17]Nil Goyette, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Prakash Ishwar:
A Novel Video Dataset for Change Detection Benchmarking. IEEE Trans. Image Process. 23(11): 4663-4679 (2014) - [c81]Hanxi Li, Yi Li, Fatih Murat Porikli:
Robust Online Visual Tracking with a Single Convolutional Neural Network. ACCV (5) 2014: 194-209 - [c80]Ibrahim Saygin Topkaya, Hakan Erdogan, Fatih Murat Porikli:
Counting people by clustering person detector outputs. AVSS 2014: 313-318 - [c79]Hanxi Li, Yi Li, Fatih Porikli:
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking. BMVC 2014 - [c78]Yi Wang, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar:
CDnet 2014: An Expanded Change Detection Benchmark Dataset. CVPR Workshops 2014: 393-400 - [c77]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CVPR 2014: 1003-1010 - [c76]Abhishek Singh, Fatih Porikli, Narendra Ahuja:
Super-resolving Noisy Images. CVPR 2014: 2846-2853 - [c75]Xianbiao Shu, Fatih Porikli, Narendra Ahuja:
Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices. CVPR 2014: 3874-3881 - [c74]Lingling Tao, Fatih Porikli, René Vidal:
Sparse Dictionaries for Semantic Segmentation. ECCV (5) 2014: 549-564 - [c73]Akshay Soni, Jarvis D. Haupt, Fatih Porikli:
Recycled linear classifiers for multiclass classification. ICASSP 2014: 2957-2961 - [c72]Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli:
Detecting 3D geometric boundaries of indoor scenes under varying lighting. WACV 2014: 1-8 - [i2]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CoRR abs/1403.4334 (2014) - 2013
- [j16]Feng Li, Fatih Porikli:
Tracking Lung Tumors in Orthogonal X-Rays. Comput. Math. Methods Medicine 2013: 650463:1-650463:7 (2013) - [j15]Hien Van Nguyen, Fatih Porikli:
Support Vector Shape: A Classifier-Based Shape Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 970-982 (2013) - [j14]Zhouhui Lian, Afzal Godil, Benjamin Bustos, Mohamed Daoudi, Jeroen Hermans, Shun Kawamura, Yukinori Kurita, Guillaume Lavoué, Hien Van Nguyen, Ryutarou Ohbuchi, Yuki Ohkita, Yuya Ohishi, Fatih Porikli, Martin Reuter, Ivan Sipiran, Dirk Smeets, Paul Suetens, Hedi Tabia, Dirk Vandermeulen:
A comparison of methods for non-rigid 3D shape retrieval. Pattern Recognit. 46(1): 449-461 (2013) - [j13]Fatih Porikli, François Brémond, Shiloh L. Dockstader, James M. Ferryman, Anthony Hoogs, Brian C. Lovell, Sharath Pankanti, Bernhard Rinner, Peter H. Tu, Péter L. Venetianer:
Video Surveillance: Past, Present, and Now the Future [DSP Forum]. IEEE Signal Process. Mag. 30(3): 190-198 (2013) - [c71]Feng Li, Fatih Murat Porikli:
Harmonic Variance: A Novel Measure for In-focus Segmentation. BMVC 2013 - [c70]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c69]Mehmet Kemal Kocamaz, Fatih Porikli:
Unconstrained 1D range and 2D image based human detection. IROS 2013: 645-652 - [c68]Ibrahim Saygin Topkaya, Hakan Erdogan, Fatih Porikli:
Detecting and Tracking Unknown Number of Objects with Dirichlet Process Mixture Models and Markov Random Fields. ISVC (2) 2013: 178-188 - [e5]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor B. Zordan, James T. Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz:
Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I. Lecture Notes in Computer Science 8033, Springer 2013, ISBN 978-3-642-41913-3 [contents] - [e4]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor B. Zordan, James T. Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz:
Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. Lecture Notes in Computer Science 8034, Springer 2013, ISBN 978-3-642-41938-6 [contents] - [i1]Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli:
Detection and Characterization of Intrinsic Symmetry. CoRR abs/1309.7472 (2013) - 2012
- [j12]Ajay J. Joshi, Fatih Porikli, Nikolaos P. Papanikolopoulos:
Scalable Active Learning for Multiclass Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2259-2273 (2012) - [c67]Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad, Prakash Ishwar:
Changedetection.net: A new change detection benchmark dataset. CVPR Workshops 2012: 1-8 - [c66]Yuejie Chi, Fatih Porikli:
Connecting the dots in multi-class classification: From nearest subspace to collaborative representation. CVPR 2012: 3602-3609 - [c65]Yi Wang, Fatih Porikli:
Multiple dictionary learning for blocking artifacts reduction. ICASSP 2012: 1133-1136 - [c64]Rajagopalan Sundaresan, Fatih Porikli:
Additive noise removal by sparse reconstruction on image affinity nets. ICASSP 2012: 1137-1140 - [c63]Nikhil Rao, Fatih Porikli:
A clustering approach to optimize online dictionary learning. ICASSP 2012: 1293-1296 - [c62]Andrzej Ruta, Fatih Porikli:
Compressive Clustering of High-Dimensional Data. ICMLA (1) 2012: 380-385 - [c61]Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos:
Coverage optimized active learning for k - NN classifiers. ICRA 2012: 5353-5358 - [p1]Fatih Porikli, Alper Yilmaz:
Object Detection and Tracking. Video Analytics for Business Intelligence 2012: 3-41 - [e3]Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong:
Video Analytics for Business Intelligence. Studies in Computational Intelligence 409, Springer 2012, ISBN 978-3-642-28597-4 [contents] - 2011
- [j11]Andrzej Ruta, Fatih Porikli, Shintaro Watanabe, Yongmin Li:
In-vehicle camera traffic sign detection and recognition. Mach. Vis. Appl. 22(2): 359-375 (2011) - [j10]A. Enis Çetin, Fatih Porikli:
Special issue on dynamic textures in video. Mach. Vis. Appl. 22(5): 739-740 (2011) - [j9]Fatih Porikli, Al Bovik, Chris Plack, Ghassan Alregib, Joyce E. Farrell, Patrick Le Callet, Quan Huynh-Thu, Sebastian Möller, Stefan Winkler:
Multimedia Quality Assessment [DSP Forum]. IEEE Signal Process. Mag. 28(6): 164-177 (2011) - [c60]Zhouhui Lian, Afzal Godil, Benjamin Bustos, Mohamed Daoudi, Jeroen Hermans, Shun Kawamura, Yukinori Kurita, Guillaume Lavoué, Hien Van Nguyen, Ryutarou Ohbuchi, Yuki Ohkita, Yuya Ohishi, Fatih Porikli, Martin Reuter, Ivan Sipiran, Dirk Smeets, Paul Suetens, Hedi Tabia, Dirk Vandermeulen:
SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes. 3DOR@Eurographics 2011: 79-88 - [c59]Fatih Porikli, Huseyin Ozkan:
Data driven frequency mapping for computationally scalable object detection. AVSS 2011: 30-35 - [c58]Mohamed E. Hussein, Fatih Porikli, Rui Li, Suayb S. Arslan:
CrossTrack: Robust 3D tracking from two cross-sectional views. CVPR 2011: 1041-1048 - [c57]Hien Van Nguyen, Fatih Porikli:
Concentric ring signature descriptor for 3D objects. ICIP 2011: 2893-2896 - 2010
- [j8]Fatih Murat Porikli, Faisal I. Bashir, Huifang Sun:
Compressed Domain Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 20(1): 2-14 (2010) - [c56]Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen:
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. PacificVis 2010: 89-96 - [c55]Vijay Venkataraman, Fatih Porikli:
RelCom: Relational combinatorics features for rapid object detection. CVPR Workshops 2010: 23-30 - [c54]Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos:
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback. CVPR 2010: 2995-3002 - [c53]Xiaokun Li, Fatih Porikli:
Human State Classification and Predication for Critical Care Monitoring by Real-Time Bio-signal Analysis. ICPR 2010: 2460-2463 - [c52]Ajay J. Joshi, Fatih Porikli:
Scene-Adaptive Human Detection with Incremental Active Learning. ICPR 2010: 2760-2763 - [c51]Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos:
Multi-class batch-mode active learning for image classification. ICRA 2010: 1873-1878 - [c50]Fatih Porikli:
Learning on Manifolds. SSPR/SPR 2010: 20-39
2000 – 2009
- 2009
- [j7]Mohamed E. Hussein, Fatih Porikli, Larry S. Davis:
A Comprehensive Evaluation Framework and a Comparative Study for Human Detectors. IEEE Trans. Intell. Transp. Syst. 10(3): 417-427 (2009) - [c49]Fatih Porikli, Pan Pan:
Regressed Importance Sampling on Manifolds for Efficient Object Tracking. AVSS 2009: 406-411 - [c48]Kuntal Sengupta, Fatih Porikli:
Geometric Sequence (GS) imaging with Bayesian smoothing for optical and capacitive imaging sensors. CVPR Workshops 2009: 90-97 - [c47]Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos:
Multi-class active learning for image classification. CVPR 2009: 2372-2379 - [c46]Pan Pan, Fatih Porikli, Dan Schonfeld:
A new method for tracking performance evaluation based on a reflective model and perturbation analysis. ICASSP 2009: 3529-3532 - [c45]Oncel Tuzel, Fatih Porikli, Peter Meer:
Kernel methods for weakly supervised mean shift clustering. ICCV 2009: 48-55 - [c44]Mohamed A. Hussein, Fatih Porikli, Larry S. Davis:
Object detection via boosted deformable features. ICIP 2009: 1445-1448 - [c43]Andrzej Ruta, Yongmin Li, Fatih Porikli, Shintaro Watanabe, Hiroshi Kage, Kazuhiko Sumi:
A New Approach for In-Vehicle Camera Traffic Sign Detection and Recognition. MVA 2009: 509-513 - 2008
- [j6]Fatih Porikli, Yuri Ivanov, Tetsuji Haga:
Robust Abandoned Object Detection Using Dual Foregrounds. EURASIP J. Adv. Signal Process. 2008 (2008) - [j5]Carlo S. Regazzoni, Andrea Cavallaro, Fatih Porikli:
Video Tracking in Complex Scenes for Surveillance Applications. EURASIP J. Image Video Process. 2008 (2008) - [j4]Oncel Tuzel, Fatih Porikli, Peter Meer:
Pedestrian Detection via Classification on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1713-1727 (2008) - [c42]Mohamed E. Hussein, Fatih Porikli, Larry S. Davis:
Kernel integral images: A framework for fast non-uniform filtering. CVPR 2008 - [c41]Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal:
Boosting adaptive linear weak classifiers for online learning and tracking. CVPR 2008 - [c40]Fatih Porikli:
Constant time O(1) bilateral filtering. CVPR 2008 - [c39]Oncel Tuzel, Fatih Murat Porikli, Peter Meer:
Learning on lie groups for invariant detection and tracking. CVPR 2008 - [c38]Xue Mei, Fatih Murat Porikli:
Joint tracking and video registration by factorial Hidden Markov models. ICASSP 2008: 973-976 - [c37]Fatih Porikli:
Reshuffling: a fast algorithm for filtering with arbitrary kernels. Real-Time Image Processing 2008: 68110M - [c36]Zhaozheng Yin, Fatih Porikli, Robert T. Collins:
Likelihood Map Fusion for Visual Object Tracking. WACV 2008: 1-7 - [e2]George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Murat Porikli, Jörg Peters, James T. Klosowski, Laura L. Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe:
Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I. Lecture Notes in Computer Science 5358, Springer 2008, ISBN 978-3-540-89638-8 [contents] - [e1]George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Murat Porikli, Jörg Peters, James T. Klosowski, Laura L. Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe:
Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part II. Lecture Notes in Computer Science 5359, Springer 2008, ISBN 978-3-540-89645-6 [contents] - 2007
- [j3]Xue Mei, Shaohua Kevin Zhou, Hao Wu, Fatih Porikli:
Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification. J. Comput. 2(6): 1-8 (2007) - [c35]Fatih Porikli:
Detection of temporarily static regions by processing video at different frame rates. AVSS 2007: 236-241 - [c34]Oncel Tuzel, Fatih Porikli, Peter Meer:
Human Detection via Classification on Riemannian Manifolds. CVPR 2007 - [c33]Xue Mei, Shaohua Kevin Zhou, Fatih Porikli:
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update. ICME 2007: 1818-1821 - [c32]Fatih Porikli, Tekin Kocak:
Fast distance transform computation using dual scan line propagation. Real-Time Image Processing 2007: 649608 - [c31]Faisal I. Bashir, Fatih Porikli:
Collaborative tracking of objects in EPTZ cameras. VCIP 2007: 65080N - 2006
- [j2]Fatih Porikli:
Achieving real-time object detection and tracking under extreme conditions. J. Real Time Image Process. 1(1): 33-40 (2006) - [c30]Fatih Porikli, Tekin Kocak:
Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework. AVSS 2006: 107 - [c29]Fatih Porikli, Oncel Tuzel, Peter Meer:
Covariance Tracking using Model Update Based on Lie Algebra. CVPR (1) 2006: 728-735 - [c28]Oncel Tuzel, Fatih Porikli, Peter Meer:
Region Covariance: A Fast Descriptor for Detection and Classification. ECCV (2) 2006: 589-600 - [c27]Fatih Porikli, Oncel Tuzel:
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows. ICIP 2006: 1581-1584 - [c26]Jie Shao, Rama Chellappa, Fatih Porikli:
Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects. ICIP 2006: 2813-2816 - 2005
- [c25]Francesco Ziliani, Sergio A. Velastin, Fatih Porikli, Lucio Marcenaro, Timothy P. Kelliher, Andrea Cavallaro, Philippe Bruneaut:
Performance evaluation of event detection solutions: the CREDS experience. AVSS 2005: 201-206 - [c24]Oncel Tuzel, Fatih Murat Porikli, Peter Meer:
A Bayesian Approach to Background Modeling. CVPR Workshops 2005: 58 - [c23]Fatih Murat Porikli:
Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces. CVPR (1) 2005: 829-836 - [c22]Fatih Porikli, Oncel Tuzel:
Object tracking in low-frame-rate video. Electronic Imaging: Image and Video Communications and Processing 2005 - [c21]Fatih Porikli, Jay Thornton:
Shadow Flow: A Recursive Method to Learn Moving Cast Shadows. ICCV 2005: 891-898 - [c20]Fatih Porikli, Oncel Tuzel:
Multi-Kernel Object Tracking. ICME 2005: 1234-1237 - [c19]Fatih Porikli, Oncel Tuzel:
Bayesian background modeling for foreground detection. VSSN@MM 2005: 55-58 - [c18]Fatih Porikli, Jie Shao, Hide Maehara:
Heli-Tele: Road Extraction from Helicopter Video. MVA 2005: 310-313 - [c17]Fatih Murat Porikli:
Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images. WACV/MOTION 2005: 20-27 - 2004
- [j1]Fatih Porikli, Yao Wang:
Automatic Video Object Segmentation Using Volume Growing and Hierarchical Clustering. EURASIP J. Adv. Signal Process. 2004(6): 814-832 (2004) - [c16]Fatih Porikli, Tetsuji Haga:
Event Detection by Eigenvector Decomposition Using Object and Frame Features. CVPR Workshops 2004: 114 - [c15]Fatih Murat Porikli:
Nonlinear warping function recovery by scan-line search using dynamic programming. ICIP 2004: 1807-1810 - [c14]Xiaokun Li, Fatih Murat Porikli:
A hidden markov model framework for traffic event detection using video features. ICIP 2004: 2901-2904 - [c13]Fatih Murat Porikli:
Learning object trajectory patterns by spectral clustering. ICME 2004: 1171-1174 - [c12]Fatih Murat Porikli:
Automatic image segmentation by wave propagation. Image Processing: Algorithms and Systems 2004: 536-543 - [c11]Fatih Murat Porikli:
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM. SSPR/SPR 2004: 352-360 - 2003
- [c10]Fatih Murat Porikli:
Inter-camera color calibration by correlation model function. ICIP (2) 2003: 133-136 - [c9]Fatih Porikli, Ajay Divakaran:
Multi-camera calibration, object tracking and query generation. ICME 2003: 653-656 - 2002
- [c8]Fatih Porikli:
Automatic threshold determination of centroid-linkage region growing by MPEG-7 dominant color descriptors. ICIP (1) 2002: 793-796 - [c7]Fatih Porikli, Yao Wang:
Constrained video object segmentation by color masks and MPEG-7 descriptors. ICME (1) 2002: 441-444 - 2001
- [c6]Fatih Murat Porikli:
Object Segmentation of Color Video Sequences. CAIP 2001: 610-619 - [c5]Fatih Murat Porikli, Zafer Sahinoglu:
Dynamic bandwidth allocation with optimal number of renegotiations in ATM networks. ICCCN 2001: 290-295 - [c4]Fatih Murat Porikli, Yao Wang:
An unsupervised multi-resolution object extraction algorithm using video-cube. ICIP (2) 2001: 359-362 - [c3]Fatih Murat Porikli:
Accurate detection of edge orientation for color and multi-spectral imagery. ICIP (1) 2001: 886-889
1990 – 1999
- 1997
- [c2]Fatih Murat Porikli, Yao Wang, Cassandra T. Swain:
Adaptive stripe based patch matching for depth estimation. ICASSP 1997: 2905-2908 - [c1]Fatih Murat Porikli:
Stripe mesh based disparity estimation by using 3-D Hough transform. ICIP (3) 1997: 240-243
Coauthor Index
Shubhankar Borse
aka: Shubhankar Mangesh Borse
aka: Shubhankar Mangesh Borse
AmirHossein Habibian
aka: Amirhossein Habibian
aka: Amirhossein Habibian
Mehrtash Harandi
aka: Mehrtash Tafazzoli Harandi
aka: Mehrtash Tafazzoli Harandi
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