| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1686 | 2022 |
| G-tad: Sub-graph localization for temporal action detection M Xu, C Zhao, DS Rojas, A Thabet, B Ghanem Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 662 | 2020 |
| Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 412 | 2024 |
| Freedom: Training-free energy-guided conditional diffusion model J Yu, Y Wang, C Zhao, B Ghanem, J Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 270 | 2023 |
| Optimization-inspired compact deep compressive sensing J Zhang, C Zhao, W Gao IEEE Journal of Selected Topics in Signal Processing 14 (4), 765-774, 2020 | 239 | 2020 |
| Video self-stitching graph network for temporal action localization C Zhao, AK Thabet, B Ghanem Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 215 | 2021 |
| Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization J Zhang, C Zhao, D Zhao, W Gao Signal Processing 103, 114-126, 2014 | 187 | 2014 |
| A unified continual learning framework with general parameter-efficient tuning Q Gao, C Zhao, Y Sun, T Xi, G Zhang, B Ghanem, J Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 178 | 2023 |
| Image compressive sensing recovery via collaborative sparsity J Zhang, D Zhao, C Zhao, R Xiong, S Ma, W Gao IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012 | 176 | 2012 |
| Mad: A scalable dataset for language grounding in videos from movie audio descriptions M Soldan, A Pardo, JL Alcázar, F Caba, C Zhao, S Giancola, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 156 | 2022 |
| Video compressive sensing reconstruction via reweighted residual sparsity C Zhao, S Ma, J Zhang, R Xiong, W Gao IEEE Transactions on Circuits and Systems for Video Technology 27 (6), 1182-1195, 2017 | 152 | 2017 |
| Weakly supervised photo cropping L Zhang, M Song, Y Yang, Q Zhao, C Zhao, N Sebe IEEE Transactions on Multimedia 16 (1), 94-107, 2013 | 140 | 2013 |
| CONCOLOR: Constrained non-convex low-rank model for image deblocking J Zhang, R Xiong, C Zhao, Y Zhang, S Ma, W Gao IEEE Transactions on Image Processing 25 (3), 1246-1259, 2016 | 137 | 2016 |
| Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior C Zhao, J Zhang, S Ma, X Fan, Y Zhang, W Gao IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 132 | 2017 |
| R-dfcil: Relation-guided representation learning for data-free class incremental learning Q Gao, C Zhao, B Ghanem, J Zhang European Conference on Computer Vision, 423-439, 2022 | 127 | 2022 |
| Image super-resolution via dual-dictionary learning and sparse representation J Zhang, C Zhao, R Xiong, S Ma, D Zhao 2012 IEEE international symposium on circuits and systems (ISCAS), 1688-1691, 2012 | 96 | 2012 |
| End-to-end temporal action detection with 1b parameters across 1000 frames S Liu, CL Zhang, C Zhao, B Ghanem Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 72 | 2024 |
| Evaluation of diverse convolutional neural networks and training strategies for wheat leaf disease identification with field-acquired photographs J Jiang, H Liu, C Zhao, C He, J Ma, T Cheng, Y Zhu, W Cao, X Yao Remote Sensing 14 (14), 3446, 2022 | 67 | 2022 |
| Large-capacity and flexible video steganography via invertible neural network C Mou, Y Xu, J Song, C Zhao, B Ghanem, J Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 66 | 2023 |
| Compressed sensing recovery via collaborative sparsity J Zhang, D Zhao, C Zhao, R Xiong, S Ma, W Gao 2012 Data Compression Conference, 287-296, 2012 | 58 | 2012 |
Bernard GhanemProfessor, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
