| Heterogeneous memory enhanced multimodal attention model for video question answering C Fan, X Zhang, S Zhang, W Wang, C Zhang, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 334 | 2019 |
| Multi-horizon time series forecasting with temporal attention learning C Fan, Y Zhang, Y Pan, X Li, C Zhang, R Yuan, D Wu, W Wang, J Pei, ... Proceedings of the 25th ACM SIGKDD International conference on knowledge …, 2019 | 254 | 2019 |
| Projection robust Wasserstein distance and Riemannian optimization T Lin, C Fan, N Ho, M Cuturi, M Jordan Advances in neural information processing systems 33, 9383-9397, 2020 | 76 | 2020 |
| Deep depth completion from extremely sparse data: A survey J Hu, C Bao, M Ozay, C Fan, Q Gao, H Liu, TL Lam IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8244-8264, 2022 | 74 | 2022 |
| Identifying first-person camera wearers in third-person videos C Fan, J Lee, M Xu, K Kumar Singh, Y Jae Lee, DJ Crandall, MS Ryoo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 74 | 2017 |
| Learning latent subevents in activity videos using temporal attention filters A Piergiovanni, C Fan, M Ryoo Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 61 | 2017 |
| Federated generative adversarial learning C Fan, P Liu Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020 | 52 | 2020 |
| Egovqa-an egocentric video question answering benchmark dataset C Fan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 46 | 2019 |
| Joint person segmentation and identification in synchronized first-and third-person videos M Xu, C Fan, Y Wang, MS Ryoo, DJ Crandall Proceedings of the European Conference on Computer Vision (ECCV), 637-652, 2018 | 45 | 2018 |
| Boosting lightweight depth estimation via knowledge distillation J Hu, C Fan, H Jiang, X Guo, Y Gao, X Lu, TL Lam International Conference on Knowledge Science, Engineering and Management, 27-39, 2023 | 36 | 2023 |
| Federated few-shot learning with adversarial learning C Fan, J Huang 2021 19th international symposium on modeling and optimization in mobile, Ad …, 2021 | 32 | 2021 |
| Forecasting hand and object locations in future frames C Fan, J Lee, MS Ryoo CoRR, abs/1705.07328, 2017 | 32* | 2017 |
| Low-parameter federated learning with large language models J Jiang, H Jiang, Y Ma, X Liu, C Fan International Conference on Web Information Systems and Applications, 319-330, 2024 | 31 | 2024 |
| Deepdiary: Lifelogging image captioning and summarization C Fan, Z Zhang, DJ Crandall Journal of Visual Communication and Image Representation 55, 40-55, 2018 | 31 | 2018 |
| Private Semi-Supervised Federated Learning. C Fan, J Hu, J Huang IJCAI, 2009-2015, 2022 | 27 | 2022 |
| Improved oracle complexity for stochastic compositional variance reduced gradient T Lin, C Fan, M Wang, MI Jordan arXiv preprint arXiv:1806.00458, 2018 | 26* | 2018 |
| A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media H Lu, C Fan, X Song, W Fang PeerJ Computer Science 7, e688, 2021 | 25 | 2021 |
| Federated prompting and chain-of-thought reasoning for improving llms answering X Liu, T Pang, C Fan International Conference on Knowledge Science, Engineering and Management, 3-11, 2023 | 24 | 2023 |
| Towards applying powerful large ai models in classroom teaching: Opportunities, challenges and prospects K Tan, T Pang, C Fan, S Yu arXiv preprint arXiv:2305.03433, 2023 | 22 | 2023 |
| Deepdiary: Automatically captioning lifelogging image streams C Fan, DJ Crandall Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 22 | 2016 |
Junjie Hu (胡 君杰)The Chinese University of Hong Kong (Shenzhen), Tohoku UniversityZweryfikowany adres z vision.is.tohoku.ac.jp
