| 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 | 687 | 2022 |
| Semantic aware attention based deep object co-segmentation H Chen, Y Huang, H Nakayama Asian Conference on Computer Vision, 435-450, 2018 | 156 | 2018 |
| Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition Y Huang, M Cai, Z Li, Y Sato Oral presentation, European Conference on Computer Vision (ECCV), 789-804, 2018 | 144 | 2018 |
| Goal-oriented gaze estimation for zero-shot learning Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 125 | 2021 |
| Improving action segmentation via graph-based temporal reasoning Y Huang, Y Sugano, Y Sato Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 125 | 2020 |
| Mutual context network for jointly estimating egocentric gaze and action Y Huang, M Cai, Z Li, F Lu, Y Sato IEEE Transactions on Image Processing 29, 7795-7806, 2020 | 68 | 2020 |
| Manipulation-skill assessment from videos with spatial attention network Z Li, Y Huang, M Cai, Y Sato Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019 | 63 | 2019 |
| Videollm: Modeling video sequence with large language models G Chen, YD Zheng, J Wang, J Xu, Y Huang, J Pan, Y Wang, Y Wang, ... arXiv preprint arXiv:2305.13292, 2023 | 56 | 2023 |
| 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 | 41 | 2024 |
| Deep convolutional neural network-aided detection of portal hypertension in patients with cirrhosis Y Liu, Z Ning, N Örmeci, W An, Q Yu, K Han, Y Huang, D Liu, F Liu, Z Li, ... Clinical Gastroenterology and Hepatology 18 (13), 2998-3007. e5, 2020 | 40 | 2020 |
| Internvideo-ego4d: A pack of champion solutions to ego4d challenges G Chen, S Xing, Z Chen, Y Wang, K Li, Y Li, Y Liu, J Wang, YD Zheng, ... arXiv preprint arXiv:2211.09529, 2022 | 38 | 2022 |
| Interact before align: Leveraging cross-modal knowledge for domain adaptive action recognition L Yang, Y Huang, Y Sugano, Y Sato Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 37 | 2022 |
| Commonsense knowledge aware concept selection for diverse and informative visual storytelling H Chen, Y Huang, H Takamura, H Nakayama Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 999-1008, 2021 | 37 | 2021 |
| Handling missing sensors in topology-aware iot applications with gated graph neural network S Liu, S Yao, Y Huang, D Liu, H Shao, Y Zhao, J Li, T Wang, R Wang, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 32 | 2020 |
| Towards visually explaining video understanding networks with perturbation Z Li, W Wang, Z Li, Y Huang, Y Sato Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 30 | 2021 |
| Compound Prototype Matching for Few-Shot Action Recognition Y Huang, L Yang, Y Sato European Conference on Computer Vision, 351-368, 2022 | 28 | 2022 |
| Precise multi-modal in-hand pose estimation using low-precision sensors for robotic assembly F von Drigalski, K Hayashi, Y Huang, R Yonetani, M Hamaya, K Tanaka, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 968-974, 2021 | 28 | 2021 |
| Video mamba suite: State space model as a versatile alternative for video understanding G Chen, Y Huang, J Xu, B Pei, Z Chen, Z Li, J Wang, K Li, T Lu, L Wang arXiv preprint arXiv:2403.09626, 2024 | 27 | 2024 |
| Internvideo2: Scaling video foundation models for multimodal video understanding Y Wang, K Li, X Li, J Yu, Y He, G Chen, B Pei, R Zheng, J Xu, Z Wang, ... arXiv preprint arXiv:2403.15377, 2024 | 23 | 2024 |
| Weakly supervised temporal sentence grounding with uncertainty-guided self-training Y Huang, L Yang, Y Sato Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 16 | 2023 |
Yoichi SatoProfessor, Institute of Industrial Science, The University of TokyoVerified email at iis.u-tokyo.ac.jp
