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Muhammad Haris Khan
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2020 – today
- 2024
- [c40]Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy:
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI 2024: 5252-5260 - [c39]Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir, M. Saquib Sarfraz, Mohsen Ali:
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment. CVPR 2024: 17732-17742 - [c38]Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan:
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CVPR 2024: 18816-18826 - [c37]Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood, Muhammad Haris Khan:
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery. CVPR 2024: 23041-23051 - [c36]Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana, Muhammad Haris Khan:
Towards Generalizing to Unseen Domains with Few Labels. CVPR 2024: 23691-23700 - [c35]Siddharth Tourani, Jayaram Reddy, Sarvesh Thakur, K. Madhava Krishna, Muhammad Haris Khan, N. Dinesh Reddy:
Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration. ICRA 2024: 2737-2744 - [c34]Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan:
Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization. VISIGRAPP (2): VISAPP 2024: 293-300 - [c33]Chamuditha Jayanga Galappaththige, Gayal Kuruppu, Muhammad Haris Khan:
Generalizing to Unseen Domains in Diabetic Retinopathy Classification. WACV 2024: 7670-7680 - [i41]Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan:
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization. CoRR abs/2401.13965 (2024) - [i40]Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan:
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CoRR abs/2403.02782 (2024) - [i39]Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana, Muhammad Haris Khan:
Towards Generalizing to Unseen Domains with Few Labels. CoRR abs/2403.11674 (2024) - [i38]Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood, Muhammad Haris Khan:
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery. CoRR abs/2403.16194 (2024) - [i37]Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf:
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR abs/2404.09342 (2024) - [i36]Muhammad Ibraheem Siddiqui, Muhammad Umer Sheikh, Hassan Abid, Muhammad Haris Khan:
PerSense: Personalized Instance Segmentation in Dense Images. CoRR abs/2405.13518 (2024) - [i35]Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir, M. Saquib Sarfraz, Mohsen Ali:
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment. CoRR abs/2405.14497 (2024) - [i34]Seonghyeon Moon, Haein Kong, Muhammad Haris Khan:
Success or Failure? Analyzing Segmentation Refinement with Few-Shot Segmentation. CoRR abs/2407.04519 (2024) - [i33]Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali:
Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning. CoRR abs/2407.13715 (2024) - [i32]Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl:
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR abs/2407.16243 (2024) - [i31]Malitha Gunawardhana, Limalka Sadith, Liel David, Daniel Harari, Muhammad Haris Khan:
How Effective are Self-Supervised Models for Contact Identification in Videos. CoRR abs/2408.00498 (2024) - [i30]Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl:
Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR abs/2408.07445 (2024) - [i29]Eman Ali, Sathira Silva, Muhammad Haris Khan:
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models. CoRR abs/2408.08855 (2024) - 2023
- [j6]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) - [j5]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) - [j4]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14353-14365 (2023) - [c32]Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck. BMVC 2023: 598-600 - [c31]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 - [c30]Bimsara Pathiraja, Malitha Gunawardhana, Muhammad Haris Khan:
Multiclass Confidence and Localization Calibration for Object Detection. CVPR 2023: 19734-19743 - [c29]Vinith Kugathasan, Muhammad Haris Khan:
Multiclass Alignment of Confidence and Certainty for Network Calibration. DAGM 2023: 589-604 - [c28]Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood:
Single-branch Network for Multimodal Training. ICASSP 2023: 1-5 - [c27]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. ICCV 2023: 19209-19219 - [c26]Sharon Chokuwa, Muhammad Haris Khan:
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 265-274 - [c25]Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan:
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. MLMI@MICCAI (1) 2023: 444-453 - [c24]Muhammad Akhtar Munir, Salman H. Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. NeurIPS 2023 - [i28]Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood:
Single-branch Network for Multimodal Training. CoRR abs/2303.06129 (2023) - [i27]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) - [i26]Bimsara Pathiraja, Malitha Gunawardhana, Muhammad Haris Khan:
Multiclass Confidence and Localization Calibration for Object Detection. CoRR abs/2306.08271 (2023) - [i25]Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy:
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR abs/2307.08930 (2023) - [i24]Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan:
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. CoRR abs/2308.14212 (2023) - [i23]Vinith Kugathasan, Muhammad Haris Khan:
Multiclass Alignment of Confidence and Certainty for Network Calibration. CoRR abs/2309.02636 (2023) - [i22]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) - [i21]Sharon Chokuwa, Muhammad Haris Khan:
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders. CoRR abs/2309.11301 (2023) - [i20]Chamuditha Jayanga Galappaththige, Gayal Kuruppu, Muhammad Haris Khan:
Generalizing to Unseen Domains in Diabetic Retinopathy Classification. CoRR abs/2310.17255 (2023) - [i19]Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. CoRR abs/2311.03570 (2023) - [i18]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. CoRR abs/2311.04815 (2023) - 2022
- [j3]Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung:
Moving objects segmentation using generative adversarial modeling. Neurocomputing 506: 240-251 (2022) - [c23]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 - [c22]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR 2022: 14724-14734 - [c21]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HM: Hybrid Masking for Few-Shot Segmentation. ECCV (20) 2022: 506-523 - [c20]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 - [c19]Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, Alessio Del Bue:
Fusion and Orthogonal Projection for Improved Face-Voice Association. ICASSP 2022: 7057-7061 - [c18]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Towards Improving Calibration in Object Detection Under Domain Shift. NeurIPS 2022 - [i17]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) - [i16]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR abs/2203.03962 (2022) - [i15]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR abs/2203.12826 (2022) - [i14]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) - [i13]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022) - [i12]Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Sajid Javed, Muhammad Haroon Yousaf, Alessio Del Bue:
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association. CoRR abs/2208.10238 (2022) - [i11]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Towards Improving Calibration in Object Detection Under Domain Shift. CoRR abs/2209.07601 (2022) - [i10]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. CoRR abs/2212.04673 (2022) - 2021
- [j2]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) - [c17]Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152 - [c16]Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. BMVC 2021: 176 - [c15]Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung:
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods. ICCVW 2021: 181-188 - [c14]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee:
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW 2021: 2595-2601 - [c13]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. NeurIPS 2021: 22770-22782 - [i9]Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. CoRR abs/2104.12709 (2021) - [i8]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. CoRR abs/2110.00249 (2021) - [i7]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. CoRR abs/2112.02838 (2021) - [i6]Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, Alessio Del Bue:
Fusion and Orthogonal Projection for Improved Face-Voice Association. CoRR abs/2112.10483 (2021) - 2020
- [c12]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
2010 – 2019
- 2019
- [c11]Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. ICCV 2019: 4966-4974 - [c10]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. ICCV 2019: 5693-5701 - [c9]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895 - [i5]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. CoRR abs/1905.11736 (2019) - [i4]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. CoRR abs/1909.04951 (2019) - [i3]Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. CoRR abs/1910.06160 (2019) - [i2]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. CoRR abs/1910.07721 (2019) - 2018
- [j1]Themos Stafylakis, Muhammad Haris Khan, Georgios Tzimiropoulos:
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs. Comput. Vis. Image Underst. 176-177: 22-32 (2018) - [i1]Themos Stafylakis, Muhammad Haris Khan, Georgios Tzimiropoulos:
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs. CoRR abs/1811.01194 (2018) - 2017
- [c8]Muhammad Haris Khan, John McDonagh, Georgios Tzimiropoulos:
Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization. ICCV 2017: 3811-3819 - 2016
- [c7]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - 2015
- [b1]Muhammad Haris Khan:
Visual tracking over multiple temporal scales. University of Nottingham, UK, 2015 - [c6]Xiaomeng Wang, Michel F. Valstar, Brais Martínez, Muhammad Haris Khan, Tony P. Pridmore:
TRIC-track: Tracking by Regression with Incrementally Learned Cascades. ICCV 2015: 4337-4345 - 2014
- [c5]Muhammad Haris Khan, Michel François Valstar, Tony P. Pridmore:
MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation. ACCV (5) 2014: 476-492 - [c4]Muhammad Haris Khan, Michel François Valstar, Tony P. Pridmore:
A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking. ICPR 2014: 2245-2250 - 2011
- [c3]M. Saquib Sarfraz, Muhammad Haris Khan:
A Probabilistic Framework for Patch based Vehicle Type Recognition. VISAPP 2011: 358-363
2000 – 2009
- 2009
- [c2]Muhammad Haris Khan, Ioannis Kypraios, U. Khan:
A robust background subtraction algorithm for motion based video scene segmentation in embedded platforms. FIT 2009: 31:1-31:6 - [c1]M. Saquib Sarfraz, Ahmed Saeed, Muhammad Haris Khan, Zahid Riaz:
Bayesian prior models for vehicle make and model recognition. FIT 2009: 35:1-35:6
Coauthor Index
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