Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFahad Shahbaz Khan
Person information
- affiliation: Linköping University, Sweden
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j33]Antonio Barbalau, Radu Tudor Ionescu
, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Comput. Vis. Image Underst. 229: 103656 (2023)- [j32]Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. Neurocomputing 538: 126211 (2023) - [j31]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) - [j30]Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3798-3812 (2023) - [j29]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) - [j28]Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6552-6574 (2023) - [j27]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) - [c132]Dmitry Demidov, Muhammad Hamza Sharif, Aliakbar Abdurahimov, Hisham Cholakkal, Fahad Shahbaz Khan:
Salient Mask-Guided Vision Transformer for Fine-Grained Classification. VISIGRAPP (4: VISAPP) 2023: 27-38 - [c131]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. WACV 2023: 2194-2204 - [c130]Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
SAT: Scale-Augmented Transformer for Person Search. WACV 2023: 4809-4818 - [i135]Muzammal Naseer, Ahmad Mahmood, Salman H. Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. CoRR abs/2302.12252 (2023) - [i134]Zhiqiang Dong, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
LEAPS: End-to-End One-Step Person Search With Learnable Proposals. CoRR abs/2303.11859 (2023) - [i133]Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. CoRR abs/2303.12073 (2023) - [i132]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) - [i131]Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang:
3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CoRR abs/2303.15012 (2023) - [i130]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) - [i129]Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. CoRR abs/2303.15649 (2023) - [i128]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) - [i127]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) - [i126]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) - [i125]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification. CoRR abs/2304.01992 (2023) - [i124]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) - [i123]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) - [i122]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) - [i121]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) - [i120]Dmitry Demidov, Muhammad Hamza Sharif, Aliakbar Abdurahimov, Hisham Cholakkal, Fahad Shahbaz Khan:
Salient Mask-Guided Vision Transformer for Fine-Grained Classification. CoRR abs/2305.07102 (2023) - 2022
- [j26]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) - [j25]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) - [j24]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4505-4523 (2022) - [j23]Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4913-4934 (2022) - [j22]Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi:
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8896-8909 (2022) - [j21]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) - [c129]Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan:
PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Search. ACCV (5) 2022: 234-250 - [c128]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 - [c127]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 - [c126]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 - [c125]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 - [c124]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 - [c123]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 - [c122]Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874 - [c121]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 - [c120]Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CVPR 2022: 5749-5758 - [c119]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 - [c118]Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CVPR 2022: 9225-9234 - [c117]Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan:
PSTR: End-to-End One-Step Person Search With Transformers. CVPR 2022: 9448-9457 - [c116]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022: 13566-13576 - [c115]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 - [c114]Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CVPR 2022: 20111-20121 - [c113]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 - [c112]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234 - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022 - [c106]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. INTERSPEECH 2022: 4103-4107 - [c105]Jin Xie, Rao Muhammad Anwer, Hisham Cholakkal, Jing Nie, Jiale Cao, Jorma Laaksonen, Fahad Shahbaz Khan:
Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. ACM Multimedia 2022: 4043-4052 - [c104]Fatima Albreiki, Sultan Abu Ghazal, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan:
On the Robustness of 3D Object Detectors. MMAsia 2022: 22:1-22:7 - [c103]Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal:
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection. MMAsia 2022: 27:1-27:8 - [c102]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 - [c101]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 - [c100]Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. WACV 2022: 1618-1627 - [i119]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) - [i118]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. CoRR abs/2203.09581 (2022) - [i117]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) - [i116]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) - [i115]Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan:
PSTR: End-to-End One-Step Person Search With Transformers. CoRR abs/2204.03340 (2022) - [i114]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. CoRR abs/2204.04218 (2022) - [i113]Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal S. Mian:
Visual Attention Methods in Deep Learning: An In-Depth Survey. CoRR abs/2204.07756 (2022) - [i112]Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. CoRR abs/2204.10846 (2022) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR abs/2207.08003 (2022) - [i106]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) - [i105]Fatima Albreiki, Sultan Abughazal, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan:
On the Robustness of 3D Object Detectors. CoRR abs/2207.10205 (2022) - [i104]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022) - [i103]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) - [i102]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) - [i101]Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao, Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan:
Multi-scale Feature Aggregation for Crowd Counting. CoRR abs/2208.05256 (2022) - [i100]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) - [i99]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) - [i98]Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal:
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection. CoRR abs/2209.06641 (2022) - [i97]Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. CoRR abs/2209.12148 (2022) - [i96]Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan:
CLIP model is an Efficient Continual Learner. CoRR abs/2210.03114 (2022) - [i95]Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CoRR abs/2210.03117 (2022) - [i94]Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan:
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search. CoRR abs/2210.03433 (2022) - [i93]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) - [i92]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) - [i91]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. CoRR abs/2211.15597 (2022) - [i90]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) - [i89]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) - [i88]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) - [i87]Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022) - 2021
- [j20]Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. Sci. China Inf. Sci. 64(2) (2021) - [j19]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) - [j18]Juhar Ahmed Abdella, Nazar M. Zaki, Khaled Shuaib, Fahad Shahbaz Khan:
Airline ticket price and demand prediction: A survey. J. King Saud Univ. Comput. Inf. Sci. 33(4): 375-391 (2021) - [j17]Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen:
Compact Deep Color Features for Remote Sensing Scene Classification. Neural Process. Lett. 53(2): 1523-1544 (2021) - [j16]Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. IEEE Trans. Image Process. 30: 3872-3884 (2021) - [c99]Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152 - [c98]Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. BMVC 2021: 176 - [c97]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179 - [c96]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182 - [c95]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC 2021: 207 - [c94]K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CVPR 2021: 5830-5840 - [c93]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 - [c92]