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ORCIDMubarak Shah
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- affiliation: University of Central Florida, Orlando, USA
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2020 – today
- 2023
[j129]Taojiannan Yang
, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 811-827 (2023)- [j128]Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian:
Language Model Agnostic Gray-Box Adversarial Attack on Image Captioning. IEEE Trans. Inf. Forensics Secur. 18: 626-638 (2023) - 2022
- [j127]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) - [j126]Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah:
TCLR: Temporal contrastive learning for video representation. Comput. Vis. Image Underst. 219: 103406 (2022) - [j125]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) - [j124]Nayyer Aafaq, Ajmal Mian, Wei Liu, Naveed Akhtar, Mubarak Shah:
Cross-Domain Modality Fusion for Dense Video Captioning. IEEE Trans. Artif. Intell. 3(5): 763-777 (2022) - [j123]Shiliang Zhang, Guorong Li, Weigang Zhang, Qingming Huang, Tiejun Huang, Mubarak Shah, Nicu Sebe:
Introduction to the Special Issue on Fine-Grained Visual Recognition and Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 24:1-24:3 (2022) - [c316]Sijie Zhu, Mubarak Shah, Chen Chen:
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. CVPR 2022: 1152-1161 - [c315]Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CVPR 2022: 9225-9234 - [c314]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 - [c313]Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CVPR 2022: 9666-9676 - [c312]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 - [c311]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 - [c310]Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah:
SPAct: Self-supervised Privacy Preservation for Action Recognition. CVPR 2022: 20132-20141 - [c309]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 - [c308]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-supervised Learning. ECCV (31) 2022: 437-455 - [c307]Shruti Vyas, Chen Chen, Mubarak Shah:
GAMa: Cross-View Video Geo-Localization. ECCV (37) 2022: 440-456 - [c306]Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Weakly Supervised Grounding for VQA in Vision-Language Transformers. ECCV (35) 2022: 652-670 - [c305]Manu S. Pillai, Abhijeet Bhattacharya, Tanmay Baweja, Rohit Gupta, Mubarak Shah:
DeepSAR: Vessel Detection in SAR Imagery with Noisy Labels. ICIP 2022: 2526-2530 - [c304]Navid Kardan, Mubarak Shah, Mitch Hill:
Self-Joint Supervised Learning. ICLR 2022 - [c303]James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah:
Detecting Compromised Architecture/Weights of a Deep Model. ICPR 2022: 2843-2849 - [c302]Jyoti Kini, Mubarak Shah:
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation. ICPR 2022: 3536-3542 - [c301]Amir Mazaheri, Mubarak Shah:
Video Generation from Text Employing Latent Path Construction for Temporal Modeling. ICPR 2022: 5010-5016 - [c300]Aakash Kumar, Jyoti Kini, Ajmal Mian, Mubarak Shah:
Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds. IROS 2022: 3754-3761 - [c299]Ishan R. Dave, Zacchaeus Scheffer, Aakash Kumar, Sarah Shiraz, Yogesh Singh Rawat, Mubarak Shah:
GabriellaV2: Towards better generalization in surveillance videos for Action Detection. WACV (Workshops) 2022: 122-132 - [c298]Camilo Pestana, Naveed Akhtar, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian:
Transferable 3D Adversarial Textures using End-to-end Optimization. WACV 2022: 727-736 - [i127]Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CoRR abs/2203.14542 (2022) - [i126]Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah:
SPAct: Self-supervised Privacy Preservation for Action Recognition. CoRR abs/2203.15205 (2022) - [i125]Sijie Zhu, Mubarak Shah, Chen Chen:
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. CoRR abs/2204.00097 (2022) - [i124]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) - [i123]Rajat Modi, Aayush Jung Rana, Aakash Kumar, Praveen Tirupattur, Shruti Vyas, Yogesh Singh Rawat, Mubarak Shah:
Video Action Detection: Analysing Limitations and Challenges. CoRR abs/2204.07892 (2022) - [i122]Jyoti Kini, Mubarak Shah:
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation. CoRR abs/2204.10765 (2022) - [i121]Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. CoRR abs/2204.10846 (2022) - [i120]Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu:
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. CoRR abs/2205.12243 (2022) - [i119]Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah:
Learning with Capsules: A Survey. CoRR abs/2206.02664 (2022) - [i118]Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah:
Self-Supervised Learning for Videos: A Survey. CoRR abs/2207.00419 (2022) - [i117]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) - [i116]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-Supervised Learning. CoRR abs/2207.02269 (2022) - [i115]Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Weakly Supervised Grounding for VQA in Vision-Language Transformers. CoRR abs/2207.02334 (2022) - [i114]Shruti Vyas, Chen Chen, Mubarak Shah:
GAMa: Cross-view Video Geo-localization. CoRR abs/2207.02431 (2022) - [i113]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) - [i112]Rohit Gupta, Naveed Akhtar, Ajmal Mian, Mubarak Shah:
On Higher Adversarial Susceptibility of Contrastive Self-Supervised Learning. CoRR abs/2207.10862 (2022) - [i111]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. CoRR abs/2209.04747 (2022) - [i110]Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces. CoRR abs/2209.10526 (2022) - [i109]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) - [i108]Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin:
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. CoRR abs/2209.15595 (2022) - [i107]Tushar Sangam, Ishan Rajendrakumar Dave, Waqas Sultani, Mubarak Shah:
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos. CoRR abs/2210.08423 (2022) - [i106]Guo-Jun Qi, Mubarak Shah:
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future. CoRR abs/2210.13463 (2022) - [i105]Jyoti Kini, Ajmal Mian, Mubarak Shah:
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds. CoRR abs/2211.00746 (2022) - [i104]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) - [i103]Rohit Gupta, Naveed Akhtar, Gaurav Kumar Nayak, Ajmal Mian, Mubarak Shah:
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition. CoRR abs/2211.13171 (2022) - [i102]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) - [i101]Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
When Do Curricula Work in Federated Learning? CoRR abs/2212.12712 (2022) - 2021
- [j122]Xiaoyu Zhang, Rohit Gupta, Ajmal Mian, Nazanin Rahnavard, Mubarak Shah:
Cassandra: Detecting Trojaned Networks From Adversarial Perturbations. IEEE Access 9: 135856-135867 (2021) - [j121]Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey. IEEE Access 9: 155161-155196 (2021) - [j120]Waqas Sultani, Mubarak Shah:
Human action recognition in drone videos using a few aerial training examples. Comput. Vis. Image Underst. 206: 103186 (2021) - [j119]ShiJie Sun, Naveed Akhtar, HuanSheng Song, Ajmal Mian, Mubarak Shah:
Deep Affinity Network for Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 104-119 (2021) - [j118]Mahdi M. Kalayeh, Mubarak Shah:
On Symbiosis of Attribute Prediction and Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1620-1635 (2021) - [j117]Simone Palazzo, Concetto Spampinato, Isaak Kavasidis, Daniela Giordano, Joseph Schmidt, Mubarak Shah:
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3833-3849 (2021) - [j116]Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Norm-Preservation: Why Residual Networks Can Become Extremely Deep? IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3980-3990 (2021) - [j115]Simone Palazzo, Francesca Murabito, Carmelo Pino, Francesco Rundo, Daniela Giordano, Mubarak Shah, Concetto Spampinato:
Exploiting structured high-level knowledge for domain-specific visual classification. Pattern Recognit. 112: 107806 (2021) - [j114]Marzieh Edraki, Nazmul Karim, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
Odyssey: Creation, Analysis and Detection of Trojan Models. IEEE Trans. Inf. Forensics Secur. 16: 4521-4533 (2021) - [j113]Erik Quintanilla, Yogesh S. Rawat, Andrey Sakryukin, Mubarak Shah, Mohan S. Kankanhalli:
Adversarial Learning for Personalized Tag Recommendation. IEEE Trans. Multim. 23: 1083-1094 (2021) - [c297]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179 - [c296]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182 - [c295]Praveen Tirupattur, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Modeling Multi-Label Action Dependencies for Temporal Action Localization. CVPR 2021: 1460-1470 - [c294]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-Label Classification. CVPR Workshops 2021: 2739-2748 - [c293]Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah:
Dogfight: Detecting Drones From Drones Videos. CVPR 2021: 7067-7076 - [c292]Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CVPR 2021: 8465-8474 - [c291]Alireza Zaeemzadeh, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah:
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces. CVPR 2021: 9452-9461 - [c290]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 - [c289]Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CVPR 2021: 12742-12752 - [c288]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. ICCV 2021: 1066-1074 - [c287]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 - [c286]Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot:
Face Image Retrieval with Attribute Manipulation. ICCV 2021: 12096-12105 - [c285]Krishna Regmi, Mubarak Shah:
Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing. ICCV 2021: 12106-12115 - [c284]Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. ICIP 2021: 2588-2592 - [c283]Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Novel View Video Prediction using a Dual Representation. ICIP 2021: 2698-2702 - [c282]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. ICLR 2021 - [c281]Alec Kerrigan, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Reformulating Zero-shot Action Recognition for Multi-label Actions. NeurIPS 2021: 25566-25577 - [i100]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) - [i99]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. CoRR abs/2101.06329 (2021) - [i98]Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah:
TCLR: Temporal Contrastive Learning for Video Representation. CoRR abs/2101.07974 (2021) - [i97]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) - [i96]Praveen Tirupattur, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Modeling Multi-Label Action Dependencies for Temporal Action Localization. CoRR abs/2103.03027 (2021) - [i95]Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian:
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack. CoRR abs/2103.10787 (2021) - [i94]Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah:
Dogfight: Detecting Drones from Drones Videos. CoRR abs/2103.17242 (2021) - [i93]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. CoRR abs/2104.03964 (2021) - [i92]Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. CoRR abs/2105.00067 (2021) - [i91]Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CoRR abs/2105.04836 (2021) - [i90]Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. CoRR abs/2105.07085 (2021) - [i89]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-label Classification. CoRR abs/2105.10782 (2021) - [i88]Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Novel View Video Prediction Using a Dual Representation. CoRR abs/2106.03956 (2021) - [i87]Aakash Kumar, Jyoti Kini, Mubarak Shah, Ajmal Mian:
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21). CoRR abs/2106.07552 (2021) - [i86]Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah:
Florida Wildlife Camera Trap Dataset. CoRR abs/2106.12628 (2021) - [i85]Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian:
Controlled Caption Generation for Images Through Adversarial Attacks. CoRR abs/2107.03050 (2021) - [i84]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - [i83]Praveen Tirupattur, Aayush Jung Rana, Tushar Sangam, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos. CoRR abs/2107.11494 (2021) - [i82]Amir Mazaheri, Mubarak Shah:
Video Generation from Text Employing Latent Path Construction for Temporal Modeling. CoRR abs/2107.13766 (2021) - [i81]Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. CoRR abs/2108.00401 (2021) - [i80]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) - [i79]Ishan R. Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh S. Rawat, Mubarak Shah:
"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021. CoRR abs/2110.07758 (2021) - [i78]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. CoRR abs/2111.08644 (2021) - [i77]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. CoRR abs/2111.09099 (2021) - [i76]Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. CoRR abs/2112.00775 (2021) - [i75]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) - [i74]Huan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Mian:
Geometric Feature Learning for 3D Meshes. CoRR abs/2112.01801 (2021) - 2020
- [j112]Nayyer Aafaq, Ajmal Mian, Wei Liu, Syed Zulqarnain Gilani, Mubarak Shah:
Video Description: A Survey of Methods, Datasets, and Evaluation Metrics. ACM Comput. Surv. 52(6): 115:1-115:37 (2020) - [j111]Concetto Spampinato, Simone Palazzo, P. D'Oro, Daniela Giordano, Mubarak Shah:
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos. Int. J. Comput. Vis. 128(5): 1378-1397 (2020) - [j110]Mahdi M. Kalayeh, Mubarak Shah:
Training Faster by Separating Modes of Variation in Batch-Normalized Models. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1483-1500 (2020) - [j109]Yogesh Singh Rawat, Mubarak Shah, Mohan S. Kankanhalli:
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2276-2287 (2020) - [c280]Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah:
SubSpace Capsule Network. AAAI 2020: 10745-10753 - [c279]