| TransFG: A Transformer Architecture for Fine-grained Recognition J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille AAAI Conference on Artificial Intelligence (AAAI), 2022 | 441 | 2022 |
| Transmix: Attend to mix for vision transformers JN Chen, S Sun, J He, PHS Torr, A Yuille, S Bai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 120 | 2022 |
| Compositional convolutional neural networks: A deep architecture with innate robustness to partial occlusion A Kortylewski, J He, Q Liu, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 116 | 2020 |
| Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip Q Yu, J He, X Deng, X Shen, LC Chen Advances in Neural Information Processing Systems 36, 32215-32234, 2023 | 104 | 2023 |
| Partimagenet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... European Conference on Computer Vision, 128-145, 2022 | 96 | 2022 |
| Learning from temporal gradient for semi-supervised action recognition J Xiao, L Jing, L Zhang, J He, Q She, Z Zhou, A Yuille, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 75 | 2022 |
| Ood-cv: A benchmark for robustness to out-of-distribution shifts of individual nuisances in natural images B Zhao, S Yu, W Ma, M Yu, S Mei, A Wang, J He, A Yuille, A Kortylewski European conference on computer vision, 163-180, 2022 | 61* | 2022 |
| Rethinking re-sampling in imbalanced semi-supervised learning J He, A Kortylewski, S Yang, S Liu, C Yang, C Wang, A Yuille arXiv preprint arXiv:2106.00209, 2021 | 32 | 2021 |
| CORL: Compositional representation learning for few-shot classification J He, A Kortylewski, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 23* | 2023 |
| Exploring hypergraph representation on face anti-spoofing beyond 2d attacks W Hu, G Te, J He, D Chen, Z Guo arXiv preprint arXiv:1811.11594, 2018 | 15 | 2018 |
| Semi-synthesis: A fast way to produce effective datasets for stereo matching J He, E Zhou, L Sun, F Lei, C Liu, W Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Point cloud attribute inpainting in graph spectral domain J He, Z Fu, W Hu, Z Guo 2019 IEEE International Conference on Image Processing (ICIP), 4385-4389, 2019 | 10 | 2019 |
| Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation J He, J Chen, MX Lin, Q Yu, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Compositional generative networks and robustness to perceptible image changes A Kortylewski, J He, Q Liu, C Cosgrove, C Yang, AL Yuille 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-8, 2021 | 7 | 2021 |
| Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization Q Liu, Z Zeng, J He, Q Yu, X Shen, LC Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 3* | |
| A Simple Video Segmenter by Tracking Objects Along Axial Trajectories J He, Q Yu, I Shin, X Deng, A Yuille, X Shen, LC Chen Transactions on Machine Learning Research, 0 | 2* | |
| Learning Part Segmentation from Synthetic Animals J Peng, J He, P Kaushik, Z Xiao, J Mu, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Data augmentation based on attention S Bai, J Chen, SUN Shuyang, J He, B Lu US Patent App. 17/740,211, 2022 | 1 | 2022 |
| Llavolta: Efficient multi-modal models via stage-wise visual context compression J Chen, L Ye, J He, ZY Wang, D Khashabi, A Yuille arXiv preprint arXiv:2406.20092, 2024 | | 2024 |
| Efficient Large Multi-modal Models via Visual Context Compression J Chen, L Ye, J He, ZY Wang, D Khashabi, A Yuille The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
