| Deepbase: Deep inspection of neural networks T Sellam, K Lin, I Huang, M Yang, C Vondrick, E Wu Proceedings of the 2019 International Conference on Management of Data, 1117 …, 2019 | 28 | 2019 |
| Partglot: Learning shape part segmentation from language reference games J Koo, I Huang, P Achlioptas, LJ Guibas, M Sung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| ShapeTalk: A language dataset and framework for 3d shape edits and deformations P Achlioptas, I Huang, M Sung, S Tulyakov, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| ChangeIt3D: Language-assisted 3d shape edits and deformations P Achlioptas, I Huang, M Sung, S Tulyakov, L Guibas Conference on Computer Vision and Pattern Recognition (CVPR) 2 (5), 6, 2022 | 12 | 2022 |
| LADIS: Language disentanglement for 3D shape editing I Huang, P Achlioptas, T Zhang, S Tulyakov, M Sung, L Guibas arXiv preprint arXiv:2212.05011, 2022 | 10 | 2022 |
| Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions I Huang, V Krishna, O Atekha, L Guibas arXiv preprint arXiv:2306.06212, 2023 | 7 | 2023 |
| Cad: Photorealistic 3d generation via adversarial distillation Z Wan, D Paschalidou, I Huang, H Liu, B Shen, X Xiang, J Liao, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| “I Like the Way You Think!” Inspecting the Internal Logic of Recurrent Neural Networks T Sellam, K Lin, IY Huang, C Vondrick, E Wu Hypothesis 1 (1), 1, 2018 | 3 | 2018 |
| BlenderAlchemy: Editing 3D Graphics with Vision-Language Models I Huang, G Yang, L Guibas arXiv preprint arXiv:2404.17672, 2024 | | 2024 |
| DeepBase T Sellam, K Lin, I Huang, M Yang, C Vondrick, E Wu Proceedings of the 2019 International Conference on Management of Data, 2019 | | 2019 |
| PartGlot: Learning Shape Part Segmentation from Language Reference Games—Supplementary Material J Koo, I Huang, P Achlioptas, L Guibas, M Sung | | |
| Functionality-Driven Object Discovery in Videos I Huang, J Ji, JC Niebles | | |
| Combating Catastrophic Forgetting without the Model I Huang, L Arnett, C Vondrick | | |
Leonidas GuibasProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
