| Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment G Han, S Huang, J Ma, Y He, SF Chang Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 780-789, 2022 | 158 | 2022 |
| Query adaptive few-shot object detection with heterogeneous graph convolutional networks G Han, Y He, S Huang, J Ma, SF Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 119 | 2021 |
| Uncovering visually impaired gamers’ preferences for spatial awareness tools within video games V Nair, S Ma, RE Gonzalez Penuela, Y He, K Lin, M Hayes, H Huddleston, ... Proceedings of the 24th International ACM SIGACCESS Conference on Computers …, 2022 | 12 | 2022 |
| Towards a Generalized Acoustic Minimap for Visually Impaired Gamers V Nair, S Ma, H Huddleston, K Lin, M Hayes, M Donnelly, RE Gonzalez, ... Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface …, 2021 | 8 | 2021 |
| Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond Z Wang, L Chen, H You, K Xu, Y He, W Li, N Codella, KW Chang, ... arXiv preprint arXiv:2310.14670, 2023 | 1 | 2023 |
| Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense Z Wang, H You, Y He, W Li, KW Chang, SF Chang arXiv preprint arXiv:2211.05895, 2022 | 1 | 2022 |
| Counterfactual Vision-Language Data Synthesis with Intra-Sample Contrast Learning Z Wang, Y He, W Li, H You, L Chen, NC Codella, Y Niu, KW Chang, ... | | |
| Supplementary Materials for Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks G Han, Y He, S Huang, J Ma, SF Chang | | |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
