| Weakly and semi supervised human body part parsing via pose-guided knowledge transfer HS Fang, G Lu, X Fang, J Xie, YW Tai, C Lu arXiv preprint arXiv:1805.04310, 2018 | 138 | 2018 |
| Divergence triangle for joint training of generator model, energy-based model, and inferential model T Han, E Nijkamp, X Fang, M Hill, SC Zhu, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 67 | 2019 |
| Long-horizon manipulation of unknown objects via task and motion planning with estimated affordances A Curtis, X Fang, LP Kaelbling, T Lozano-Pérez, CR Garrett 2022 International Conference on Robotics and Automation (ICRA), 1940-1946, 2022 | 44 | 2022 |
| Recurrent residual module for fast inference in videos B Pan, W Lin, X Fang, C Huang, B Zhou, C Lu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
| Cooperative training of fast thinking initializer and slow thinking solver for conditional learning J Xie, Z Zheng, X Fang, SC Zhu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 3957-3973, 2021 | 30 | 2021 |
| Learning cycle-consistent cooperative networks via alternating MCMC teaching for unsupervised cross-domain translation J Xie, Z Zheng, X Fang, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10430 …, 2021 | 15 | 2021 |
| DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability X Fang, CR Garrett, C Eppner, T Lozano-Pérez, LP Kaelbling, D Fox arXiv preprint arXiv:2306.13196, 2023 | 6 | 2023 |
| Cooperative training of fast thinking initializer and slow thinking solver for multi-modal conditional learning J Xie, Z Zheng, X Fang, SC Zhu, YN Wu arXiv preprint arXiv:1902.02812, 2019 | 4 | 2019 |
