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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)- [c204]Min-Hui Lin, Mahesh Reddy, Guillaume Berger, Michel Sarkis, Fatih Porikli, Ning Bi:
EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting. CVPR Workshops 2024: 831-840 - [c203]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CVPR Workshops 2024: 2162-2171 - [c202]Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli:
Segmentation-Free Guidance for Text-to-Image Diffusion Models. CVPR Workshops 2024: 7520-7529 - [c201]Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CVPR 2024: 8352-8361 - [c200]Yunxiao Shi, Manish Kumar Singh, Hong Cai, Fatih Porikli:
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions. CVPR 2024: 10736-10746 - [c199]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CVPR 2024: 19352-19362 - [c198]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. ECCV (57) 2024: 91-108 - [c197]Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said, Randall Rauwendaal, Alex Bourd, Fatih Porikli:
Neural Graphics Texture Compression Supporting Random Access. ECCV (37) 2024: 412-429 - [c196]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. ECCV (5) 2024: 440-458 - [c195]Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano, Fatih Porikli, Amirhossein Habibian:
Skip-Attention: Improving Vision Transformers by Paying Less Attention. ICLR 2024 - [i119]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) - [i118]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) - [i117]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) - [i116]Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli:
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. CoRR abs/2402.16739 (2024) - [i115]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) - [i114]Yunxiao Shi, Manish Kumar Singh, Hong Cai, Fatih Porikli:
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions. CoRR abs/2403.12202 (2024) - [i113]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) - [i112]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) - [i111]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CoRR abs/2404.08135 (2024) - [i110]Min-Hui Lin, Mahesh Reddy, Guillaume Berger, Michel Sarkis, Fatih Porikli, Ning Bi:
EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting. CoRR abs/2404.09918 (2024) - [i109]Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli:
FouRA: Fourier Low Rank Adaptation. CoRR abs/2406.08798 (2024) - [i108]Manish Kumar Singh, Rajeev Yasarla, Hong Cai, Mingu Lee, Fatih Porikli:
ToSA: Token Selective Attention for Efficient Vision Transformers. CoRR abs/2406.08816 (2024) - [i107]Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said, Randall Rauwendaal, Alex Bourd, Fatih Porikli:
Neural Graphics Texture Compression Supporting Random Acces. CoRR abs/2407.00021 (2024) - [i106]Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli:
Segmentation-Free Guidance for Text-to-Image Diffusion Models. CoRR abs/2407.04800 (2024) - [i105]Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli:
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. CoRR abs/2407.11306 (2024) - [i104]Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih Porikli:
DDIL: Improved Diffusion Distillation With Imitation Learning. CoRR abs/2410.11971 (2024) - [i103]Qiqi Hou, Randall Rauwendaal, Zifeng Li, Hoang Le, Farzad Farhadzadeh, Fatih Porikli, Alex Bourd, Amir Said:
Sort-free Gaussian Splatting via Weighted Sum Rendering. CoRR abs/2410.18931 (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, 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]