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ORCIDSalman H. Khan 0001
Salman Hameed Khan
Person information
- affiliation: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
- affiliation: Australian National University, Canberra, Australia
- affiliation: Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia
- affiliation (PhD 2016): University of Western Australia, Crawley, Australia
Other persons with the same name
- Salman H. Khan — disambiguation page
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2020 – today
- 2022
[j33]Mohammed Hassanin, Ibrahim Radwan
, Salman H. Khan, Murat Tahtali:
Learning discriminative representations for multi-label image recognition. J. Vis. Commun. Image Represent. 83: 103448 (2022)- [j32]Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor pooling-driven instance segmentation framework for baggage threat recognition. Neural Comput. Appl. 34(2): 1239-1250 (2022) - [j31]Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022) - [j30]Qiuxia Lai, Tianfei Zhou, Salman H. Khan, Hanqiu Sun, Jianbing Shen, Ling Shao:
Weakly Supervised Visual Saliency Prediction. IEEE Trans. Image Process. 31: 3111-3124 (2022) - [i80]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. CoRR abs/2201.02560 (2022) - 2021
- [j29]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. ACM Comput. Surv. 54(3): 47:1-47:35 (2021) - [j28]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021) - [j27]Hanif Rasyidi, Salman H. Khan:
Historical document image binarization via style augmentation and atrous convolutions. Neural Comput. Appl. 33(13): 7339-7352 (2021) - [j26]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Deeply Supervised Discriminative Learning for Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3154-3166 (2021) - [j25]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. complexity: A trade-off in visual question answering models. Pattern Recognit. 120: 108106 (2021) - [j24]Qiuxia Lai, Salman H. Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, Ling Shao:
Understanding More About Human and Machine Attention in Deep Neural Networks. IEEE Trans. Multim. 23: 2086-2099 (2021) - [c60]K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CVPR 2021: 5830-5840 - [c59]Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CVPR 2021: 10836-10846 - [c58]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CVPR 2021: 14821-14831 - [c57]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. ICCV 2021: 1066-1074 - [c56]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. ICCV 2021: 7688-7697 - [c55]Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. ICCV 2021: 8711-8720 - [c54]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. ICCV 2021: 12313-12323 - [c53]Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021 - [c52]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. NeurIPS 2021: 19487-19499 - [i79]Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. CoRR abs/2101.01169 (2021) - [i78]Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021) - [i77]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021) - [i76]Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. CoRR abs/2102.03509 (2021) - [i75]Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CoRR abs/2103.01315 (2021) - [i74]K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CoRR abs/2103.02603 (2021) - [i73]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. CoRR abs/2103.14021 (2021) - [i72]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. CoRR abs/2103.14641 (2021) - [i71]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. CoRR abs/2104.03964 (2021) - [i70]Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. CoRR abs/2104.12709 (2021) - [i69]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021) - [i68]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021) - [i67]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition. CoRR abs/2107.07333 (2021) - [i66]Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning Discriminative Representations for Multi-Label Image Recognition. CoRR abs/2107.11159 (2021) - [i65]Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. CoRR abs/2108.09301 (2021) - [i64]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition. CoRR abs/2108.09603 (2021) - [i63]Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CoRR abs/2110.03680 (2021) - [i62]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CoRR abs/2111.09881 (2021) - [i61]Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Multi-modal Transformers Excel at Class-agnostic Object Detection. CoRR abs/2111.11430 (2021) - [i60]Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CoRR abs/2112.01513 (2021) - [i59]Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021) - 2020
- [j23]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations. IEEE Access 8: 28123-28132 (2020) - [j22]Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. IEEE Access 8: 34019-34028 (2020) - [j21]Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A Survey. ACM Comput. Surv. 53(3): 60:1-60:34 (2020) - [j20]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int. J. Comput. Vis. 128(6): 1612-1634 (2020) - [j19]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) - [j18]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts. Image Vis. Comput. 103: 103985 (2020) - [j17]Guodong Ding, Salman H. Khan, Zhenmin Tang, Fatih Porikli:
Feature mask network for person re-identification. Pattern Recognit. Lett. 137: 91-98 (2020) - [j16]Taimur Hassan, Muhammad Shafay, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. Sensors 20(22): 6450 (2020) - [j15]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. IEEE Trans. Image Process. 29: 1711-1724 (2020) - [j14]Shafin Rahman, Salman H. Khan, Nick Barnes:
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. IEEE Trans. Multim. 22(1): 242-255 (2020) - [c51]Shafin Rahman, Salman H. Khan, Nick Barnes:
Improved Visual-Semantic Alignment for Zero-Shot Object Detection. AAAI 2020: 11932-11939 - [c50]Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. AAAI 2020: 12047-12054 - [c49]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. ACCV (3) 2020: 89-106 - [c48]Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-Shot Object Detection. ACCV (3) 2020: 155-170 - [c47]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CVPR 2020: 259-268 - [c46]Lin Li, Salman H. Khan, Nick Barnes:
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene. CVPR Workshops 2020: 1098-1104 - [c45]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702 - [c44]Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR 2020: 4452-4461 - [c43]Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CVPR 2020: 6937-6946 - [c42]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR 2020: 13585-13594 - [c41]Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool:
Fixing Localization Errors to Improve Image Classification. ECCV (25) 2020: 271-287 - [c40]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422 - [c39]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. ECCV (25) 2020: 492-511 - [c38]Taimur Hassan, Meriem Bettayeb, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Naoufel Werghi:
Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. ICIP 2020: 2016-2020 - [c37]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. ICPR 2020: 3542-3549 - [c36]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. ICPRAM 2020: 115-125 - [c35]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS 2020: 8169-8176 - [c34]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV 2020: 21-31 - [i58]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models. CoRR abs/2001.07059 (2020) - [i57]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020) - [i56]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. CoRR abs/2003.07003 (2020) - [i55]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020) - [i54]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020) - [i53]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR abs/2003.11652 (2020) - [i52]Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR abs/2003.13853 (2020) - [i51]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. CoRR abs/2004.06780 (2020) - [i50]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CoRR abs/2006.04924 (2020) - [i49]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. CoRR abs/2006.09785 (2020) - [i48]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. CoRR abs/2007.14672 (2020) - [i47]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020) - [i46]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. CoRR abs/2009.13158 (2020) - [i45]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Attention Guided Semantic Relationship Parsing for Visual Question Answering. CoRR abs/2010.01725 (2020) - [i44]Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020) - [i43]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. CoRR abs/2010.09291 (2020) - [i42]Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-shot Object Detection. CoRR abs/2010.09425 (2020) - [i41]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
How to train your conditional GAN: An approach using geometrically structured latent manifolds. CoRR abs/2011.13055 (2020)
2010 – 2019
- 2019
- [j13]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) - [j12]Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of deep neural networks with spectral dropout. Neural Networks 110: 82-90 (2019) - [j11]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) - [c33]Guodong Ding, Salman H. Khan, Zhenmin Tang:
Dispersion based Clustering for Unsupervised Person Re-identification. BMVC 2019: 264 - [c32]Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CVPR Workshops 2019: 28-37 - [c31]Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance With Uncertainty. CVPR 2019: 103-112 - [c30]Seungjun Nah, Radu Timofte, 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, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c29]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c28]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c27]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c26]Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. CVPR 2019: 9739-9748 - [c25]Hanif Rasyidi, Salman H. Khan:
Historical Document Text Binarization using Atrous Convolution and Multi-Scale Feature Decoder. DICTA 2019: 1-8 - [c24]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. ICCV 2019: 3384-3393 - [c23]Shafin Rahman, Salman H. Khan, Nick Barnes:
Transductive Learning for Zero-Shot Object Detection. ICCV 2019: 6081-6090 - [c22]Munawar Hayat, Salman H. Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Gaussian Affinity for Max-Margin Class Imbalanced Learning. ICCV 2019: 6468-6478 - [c21]Sudong Cai, Yulan Guo, Salman H. Khan, Jiwei Hu, Gongjian Wen:
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss. ICCV 2019: 8390-8399 - [c20]Lin Li, Salman H. Khan, Nick Barnes:
Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene. ICCV Workshops 2019: 2080-2088 - [c19]Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Continual Learning. NeurIPS 2019: 12648-12658 - [c18]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895 - [c17]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. WACV 2019: 1300-1307 - [i40]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. CoRR