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ORCIDSalman H. Khan 0001
Salman Hameed Khan – Salman Khan 0001
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
- Salman Khan — disambiguation page
- Salman Khan 0002 — BT Research, Ipswich, UK (and 2 more)
- Salman Khan 0003 — University of Waterloo, Ontario, Canada
- Salman Khan 0004
![[0000-0002-9706-4005]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9706-4005")
— Oxford Brookes University, Visual Artificial Intelligence Laboratory, VAIL, School of Engineering, Computing and Mathematics, UK (and 1 more) - Salman Khan 0005 (aka: Salman 0005) — Abdul Wali Khan University Mardan, Department of Computer Science, Pakistan
- Salman Khan 0006 — COMSATS Institute of Information Technology, Department of Physics, Pakistan
- Salman Khan 0007 — University of Engineering and Technology, Department of Software Engineering, Peshawar, Pakistan
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2020 – today
- 2023
[j43]Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023)- [j42]Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi:
Unsupervised anomaly instance segmentation for baggage threat recognition. J. Ambient Intell. Humaniz. Comput. 14(3): 1607-1618 (2023) - [j41]Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in medical imaging: A survey. Medical Image Anal. 88: 102802 (2023) - [j40]Taimur Hassan, Samet Akcay, Bilal Hassan, Mohammed Bennamoun, Salman H. Khan, Jorge Dias, Naoufel Werghi:
Cascaded structure tensor for robust baggage threat detection. Neural Comput. Appl. 35(15): 11269-11285 (2023) - [j39]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023) - [j38]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) - [j37]Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. Remote. Sens. 15(7): 1860 (2023) - [c102]Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan:
D3Former: Debiased Dual Distilled Transformer for Incremental Learning. CVPR Workshops 2023: 2421-2430 - [c101]Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR 2023: 3479-3488 - [c100]Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CVPR 2023: 5703-5712 - [c99]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CVPR 2023: 5968-5976 - [c98]Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CVPR 2023: 6545-6554 - [c97]Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CVPR 2023: 7247-7256 - [c96]Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CVPR 2023: 11474-11483 - [c95]Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CVPR 2023: 19113-19122 - [c94]Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CVPR 2023: 22201-22210 - [c93]Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CVPR 2023: 23034-23044 - [c92]Muzammal Naseer, Ahmad Mahmood, Salman Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. ICLR 2023 - [c91]Muhammad Ali, Omar Alsuwaidi, Salman Khan:
BGD: Generalization Using Large Step Sizes to Attract Flat Minima. VISIGRAPP (5: VISAPP) 2023: 239-249 - [c90]Muhammad Ali, Omar Alsuwaidi, Salman Khan:
FlexPooling with Simple Auxiliary Classifiers in Deep Networks. VISIGRAPP (4: VISAPP) 2023: 497-505 - [i127]Muzammal Naseer, Ahmad Mahmood, Salman H. Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. CoRR abs/2302.12252 (2023) - [i126]Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CoRR abs/2303.14404 (2023) - [i125]Abdelrahman Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. CoRR abs/2303.15446 (2023) - [i124]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. CoRR abs/2304.01172 (2023) - [i123]Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CoRR abs/2304.01194 (2023) - [i122]Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Video Instance Segmentation in an Open-World. CoRR abs/2304.01200 (2023) - [i121]Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CoRR abs/2304.03307 (2023) - [i120]Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CoRR abs/2304.06703 (2023) - [i119]Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Remote Sensing Change Detection With Transformers Trained from Scratch. CoRR abs/2304.06710 (2023) - [i118]Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CoRR abs/2305.00514 (2023) - [i117]Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang:
Modulate Your Spectrum in Self-Supervised Learning. CoRR abs/2305.16789 (2023) - [i116]Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan:
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. CoRR abs/2306.05424 (2023) - [i115]Omkar Thawakar, Abdelrahman Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. CoRR abs/2306.07971 (2023) - [i114]Shahina K. Kunhimon, Abdelrahman Shaker, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Learnable Weight Initialization for Volumetric Medical Image Segmentation. CoRR abs/2306.09320 (2023) - [i113]Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
PromptIR: Prompting for All-in-One Blind Image Restoration. CoRR abs/2306.13090 (2023) - [i112]Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. CoRR abs/2307.06947 (2023) - [i111]Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. CoRR abs/2307.06948 (2023) - [i110]Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. CoRR abs/2307.07269 (2023) - [i109]Muhammad Awais, Muzammal Naseer, Salman H. Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Foundational Models Defining a New Era in Vision: A Survey and Outlook. CoRR abs/2307.13721 (2023) - [i108]Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023) - [i107]Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR abs/2308.06038 (2023) - [i106]Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR abs/2308.12960 (2023) - [i105]Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman H. Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck. CoRR abs/2309.10518 (2023) - 2022
- [j36]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. ACM Comput. Surv. 54(3): 47:1-47:35 (2022) - [j35]Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. ACM Comput. Surv. 54(10s): 200:1-200:41 (2022) - [j34]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) - [j33]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) - [j32]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) - [j31]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9209-9216 (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) - [j29]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. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6937-6951 (2022) - [c89]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Self-distilled Vision Transformer for Domain Generalization. ACCV (2) 2022: 273-290 - [c88]Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. BMVC 2022: 532 - [c87]Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. BMVC 2022: 546 - [c86]Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817 - [c85]Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060 - [c84]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c83]Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
Adaptive Feature Consolidation Network for Burst Super-Resolution. CVPR Workshops 2022: 1278-1285 - [c82]Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874 - [c81]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CVPR 2022: 5718-5729 - [c80]Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CVPR 2022: 5749-5758 - [c79]K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CVPR 2022: 7442-7451 - [c78]Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CVPR 2022: 9225-9234 - [c77]Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. CVPR 2022: 19926-19935 - [c76]Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman H. Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. ECCV Workshops (7) 2022: 3-20 - [c75]Wenhao Cheng, Xingping Dong, Salman H. Khan, Jianbing Shen:
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. ECCV (36) 2022: 309-329 - [c74]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) 2022: 338-355 - [c73]Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) 2022: 382-401 - [c72]Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Class-Agnostic Object Detection with Multi-modal Transformer. ECCV (10) 2022: 512-531 - [c71]Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. ECCV (29) 2022: 666-681 - [c70]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022 - [c69]Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. NeurIPS 2022 - [c68]Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. NeurIPS 2022 - [i104]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) - [i103]Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in Medical Imaging: A Survey. CoRR abs/2201.09873 (2022) - [i102]Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer. CoRR abs/2203.13253 (2022) - [i101]K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CoRR abs/2203.14952 (2022) - [i100]Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. CoRR abs/2204.10846 (2022) - [i99]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. CoRR abs/2205.01649 (2022) - [i98]Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. CoRR abs/2206.10589 (2022) - [i97]Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR abs/2207.02261 (2022) - [i96]Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. CoRR abs/2207.03482 (2022) - [i95]Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. CoRR abs/2207.08803 (2022) - [i94]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022) - [i93]Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan:
D3Former: Debiased Dual Distilled Transformer for Incremental Learning. CoRR abs/2208.00777 (2022) - [i92]Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang:
3D Vision with Transformers: A Survey. CoRR abs/2208.04309 (2022) - [i91]Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR abs/2208.06888 (2022) - [i90]Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. CoRR abs/2209.01206 (2022) - [i89]Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan:
CLIP model is an Efficient Continual Learner. CoRR abs/2210.03114 (2022) - [i88]Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CoRR abs/2210.03117 (2022) - [i87]Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. CoRR abs/2210.03586 (2022) - [i86]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CoRR abs/2211.12500 (2022) - [i85]Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CoRR abs/2212.03640 (2022) - [i84]Abdelrahman Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation. CoRR abs/2212.04497 (2022) - [i83]Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022) - [i82]Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022) - 2021
- [j28]Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A Survey. ACM Comput. Surv. 53(3): 60:1-60:34 (2021) - [j27]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) - [j26]Hanif Rasyidi, Salman H. Khan:
Historical document image binarization via style augmentation and atrous convolutions. Neural Comput. Appl. 33(13): 7339-7352 (2021) - [j25]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) - [j24]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. complexity: A trade-off in visual question answering models. Pattern Recognit. 120: 108106 (2021) - [j23]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) - [c67]Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152 - [c66]Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. BMVC 2021: 176 - [c65]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179 - [c64]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182 - [c63]Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. BMVC 2021: 278 - [c62]K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CVPR 2021: 5830-5840 - [c61]