| Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 356 | 2015 |
| Feature interaction augmented sparse learning for fast kinect motion detection X Chang, Z Ma, M Lin, Y Yang, AG Hauptmann IEEE transactions on image processing 26 (8), 3911-3920, 2017 | 209 | 2017 |
| Zen-nas: A zero-shot nas for high-performance image recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision, 347-356, 2021 | 163 | 2021 |
| Exploring semantic inter-class relationships (sir) for zero-shot action recognition C Gan, M Lin, Y Yang, Y Zhuang, AG Hauptmann Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 120 | 2015 |
| Entroformer: A transformer-based entropy model for learned image compression Y Qian, M Lin, X Sun, Z Tan, R Jin arXiv preprint arXiv:2202.05492, 2022 | 110 | 2022 |
| KVT: k-NN Attention for Boosting Vision Transformers P Wang, X Wang, F Wang, M Lin, S Chang, H Li, R Jin European conference on computer vision, 285-302, 2022 | 105 | 2022 |
| Concepts not alone: Exploring pairwise relationships for zero-shot video activity recognition C Gan, M Lin, Y Yang, G Melo, AG Hauptmann Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 97 | 2016 |
| GiraffeDet: A heavy-neck paradigm for object detection Y Jiang, Z Tan, J Wang, X Sun, M Lin, H Li arXiv preprint arXiv:2202.04256, 2022 | 93 | 2022 |
| Learning accurate entropy model with global reference for image compression Y Qian, Z Tan, X Sun, M Lin, D Li, Z Sun, H Li, R Jin arXiv preprint arXiv:2010.08321, 2020 | 65 | 2020 |
| Online kernel learning with a near optimal sparsity bound L Zhang, J Yi, R Jin, M Lin, X He International Conference on Machine Learning, 621-629, 2013 | 45 | 2013 |
| Informedia@ TrecVID 2014: MED and MER SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ... TREC Video Retrieval Evaluation 2014, 2014 | 44 | 2014 |
| Pac-nerf: Physics augmented continuum neural radiance fields for geometry-agnostic system identification X Li, YL Qiao, PY Chen, KM Jatavallabhula, M Lin, C Jiang, C Gan arXiv preprint arXiv:2303.05512, 2023 | 42 | 2023 |
| Knapsack pruning with inner distillation Y Aflalo, A Noy, M Lin, I Friedman, L Zelnik arXiv preprint arXiv:2002.08258, 2020 | 42 | 2020 |
| Big data analytical approaches to the NACC dataset: aiding preclinical trial enrichment M Lin, P Gong, T Yang, J Ye, RL Albin, HH Dodge Alzheimer Disease & Associated Disorders 32 (1), 18-27, 2018 | 38 | 2018 |
| Mae-det: Revisiting maximum entropy principle in zero-shot nas for efficient object detection Z Sun, M Lin, X Sun, Z Tan, H Li, R Jin arXiv preprint arXiv:2111.13336, 2021 | 33 | 2021 |
| Giraffedet: A heavy-neck paradigm for object detection Z Tan, J Wang, X Sun, M Lin, H Li International conference on learning representations, 2021 | 33 | 2021 |
| Robust gaussian process regression for real-time high precision GPS signal enhancement M Lin, X Song, Q Qian, H Li, L Sun, S Zhu, R Jin Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 33 | 2019 |
| Ada-nets: Face clustering via adaptive neighbour discovery in the structure space Y Wang, Y Zhang, F Zhang, M Lin, YQ Zhang, S Wang, X Sun arXiv preprint arXiv:2202.03800, 2022 | 29 | 2022 |
| Deepmad: Mathematical architecture design for deep convolutional neural network X Shen, Y Wang, M Lin, Y Huang, H Tang, X Sun, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Dependent online kernel learning with constant number of random fourier features Z Hu, M Lin, C Zhang IEEE transactions on neural networks and learning systems 26 (10), 2464-2476, 2015 | 28 | 2015 |
