| Unsupervised neural network models of the ventral visual stream C Zhuang, S Yan, A Nayebi, M Schrimpf, MC Frank, JJ DiCarlo, ... Proceedings of the National Academy of Sciences 118 (3), e2014196118, 2021 | 336 | 2021 |
| Implicit autoencoder for point-cloud self-supervised representation learning S Yan, Z Yang, H Li, C Song, L Guan, H Kang, G Hua, Q Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 48 | 2023 |
| Hpnet: Deep primitive segmentation using hybrid representations S Yan, Z Yang, C Ma, H Huang, E Vouga, Q Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 36 | 2021 |
| Extreme relative pose network under hybrid representations Z Yang, S Yan, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 26 | 2020 |
| Scene synthesis via uncertainty-driven attribute synchronization H Yang, Z Zhang, S Yan, H Huang, C Ma, Y Zheng, C Bajaj, Q Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Self-supervised neural network models of higher visual cortex development C Zhuang, S Yan, A Nayebi, D Yamins 2019 Conference on Cognitive Computational Neuroscience, 566-569, 2019 | 8 | 2019 |
| Recurrent feedback improves feedforward representations in deep neural networks S Yan, X Fang, B Xiao, H Rockwell, Y Zhang, TS Lee arXiv preprint arXiv:1912.10489, 2019 | 7 | 2019 |
| Calcium removal from cardiac CT images using deep convolutional neural network S Yan, F Shi, Y Chen, D Dey, SE Lee, HJ Chang, D Li, Y Xie 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 7 | 2018 |
| Vigor: Improving visual grounding of large vision language models with fine-grained reward modeling S Yan, M Bai, W Chen, X Zhou, Q Huang, LE Li arXiv preprint arXiv:2402.06118, 2024 | 6 | 2024 |
| 3d feature prediction for masked-autoencoder-based point cloud pretraining S Yan, Y Yang, Y Guo, H Pan, P Wang, X Tong, Y Liu, Q Huang arXiv preprint arXiv:2304.06911, 2023 | 5 | 2023 |
| Multi-View Representation is What You Need for Point-Cloud Pre-Training S Yan, C Song, Y Kong, Q Huang arXiv preprint arXiv:2306.02558, 2023 | 2* | 2023 |
| TAssembly: Data-driven fractured object assembly using a linear template model Z Deng, J Jiang, Z Chen, W Zhang, Q Yao, C Song, Y Sun, Z Yang, S Yan, ... Computers & Graphics 113, 102-112, 2023 | 2 | 2023 |
Qixing HuangAssociate Professor of Computer Science, UT Austin在 cs.utexas.edu 的电子邮件经过验证
