Class-balanced loss based on effective number of samples Y Cui, M Jia, TY Lin, Y Song, S Belongie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 2831 | 2019 |
Visual prompt tuning M Jia, L Tang, BC Chen, C Cardie, S Belongie, B Hariharan, SN Lim European Conference on Computer Vision, 709-727, 2022 | 1617 | 2022 |
Emergent correspondence from image diffusion L Tang, M Jia, Q Wang, CP Phoo, B Hariharan Advances in Neural Information Processing Systems 36, 1363-1389, 2023 | 266 | 2023 |
Fashionpedia: Ontology, segmentation, and an attribute localization dataset M Jia, M Shi, M Sirotenko, Y Cui, C Cardie, B Hariharan, H Adam, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 133 | 2020 |
Ma-lmm: Memory-augmented large multimodal model for long-term video understanding B He, H Li, YK Jang, M Jia, X Cao, A Shah, A Shrivastava, SN Lim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 40 | 2024 |
Intentonomy: a Dataset and Study towards Human Intent Understanding M Jia, Z Wu, A Reiter, C Cardie, S Belongie, SN Lim Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 40 | 2021 |
The exploration of artificial intelligence application in fashion trend forecasting M Shi, C Chussid, P Yang, M Jia, V Dyk Lewis, W Cao Textile Research Journal 91 (19-20), 2357-2386, 2021 | 32 | 2021 |
A deep-learning-based fashion attributes detection model M Jia, Y Zhou, M Shi, B Hariharan arXiv preprint arXiv:1810.10148, 2018 | 30 | 2018 |
When in Doubt: Improving Classification Performance with Alternating Normalization M Jia, A Reiter, SN Lim, Y Artzi, C Cardie Findings of the Association for Computational Linguistics: EMNLP 2021, 1716 …, 2021 | 16 | 2021 |
Exploring Visual Engagement Signals for Representation Learning M Jia, Z Wu, A Reiter, C Cardie, S Belongie, SN Lim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16* | 2021 |
Videoglue: Video general understanding evaluation of foundation models L Yuan, NB Gundavarapu, L Zhao, H Zhou, Y Cui, L Jiang, X Yang, M Jia, ... arXiv preprint arXiv:2307.03166, 2023 | 12 | 2023 |
Rethinking nearest neighbors for visual classification M Jia, BC Chen, Z Wu, C Cardie, S Belongie, SN Lim arXiv preprint arXiv:2112.08459, 2021 | 10* | 2021 |
Promptfusion: Decoupling stability and plasticity for continual learning H Chen, Z Wu, X Han, M Jia, YG Jiang European Conference on Computer Vision, 196-212, 2025 | 9 | 2025 |
Deep Multi-Modal Sets A Reiter, M Jia, P Yang, SN Lim arXiv preprint arXiv:2003.01607, 2020 | 4 | 2020 |
Searching for structure in unfalsifiable claims PE Christensen, F Warburg, M Jia, S Belongie arXiv preprint arXiv:2209.00495, 2022 | 2 | 2022 |
Design and Evaluation of Dynamic Knee Orthosis System for Females With Knee Ligament Injuries M Jia | 1 | 2017 |
Towards Comprehensive Visual Understanding M Jia Cornell University, 2023 | | 2023 |
Searching for Structure in Unfalsifiable Claims P Ebert Christensen, F Warburg, M Jia, S Belongie arXiv e-prints, arXiv: 2209.00495, 2022 | | 2022 |
Dynamic Knee Orthosis System for Females with Anterior Cruciate Ligament Injuries: 240 Board# 81 May 30 11: 00 AM-12: 30 PM M Jia, JM Tome, M Shi, H Park, J Fan, RS Kakar Medicine & Science in Sports & Exercise 50 (5S), 42, 2018 | | 2018 |
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding Supplementary Material B He, H Li, YK Jang, M Jia, X Cao, A Shah, A Shrivastava, SN Lim | | |