| The llama 4 herd: The beginning of a new era of natively multimodal ai innovation AI Meta | 607 | 2025 |
| LLM-Grounder: Open-vocabulary 3d visual grounding with large language model as an agent J Yang, X Chen, S Qian, N Madaan, M Iyengar, DF Fouhey, J Chai 2024 IEEE International Conference on Robotics and Automation (ICRA), 7694-7701, 2024 | 237 | 2024 |
| Affordancellm: Grounding affordance from vision language models S Qian, W Chen, M Bai, X Zhou, Z Tu, LE Li 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2024 | 144 | 2024 |
| Multi-object hallucination in vision language models X Chen, Z Ma, X Zhang, S Xu, J Yang, DF Fouhey, J Chai, S Qian Advances in Neural Information Processing Systems 37, 44393-44418, 2024 | 137 | 2024 |
| OASIS: A Large-Scale Dataset for Single Image 3D in the Wild W Chen, S Qian, D Fan, N Kojima, M Hamilton, J Deng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 102 | 2020 |
| Learning single-image depth from videos using quality assessment networks W Chen, S Qian, J Deng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 85 | 2019 |
| Planar Surface Reconstruction from Sparse Views L Jin, S Qian, A Owens, DF Fouhey International Conference on Computer Vision (ICCV), 2021 | 60 | 2021 |
| 3d-grand: A million-scale dataset for 3d-llms with better grounding and less hallucination J Yang, X Chen, N Madaan, M Iyengar, S Qian, DF Fouhey, J Chai 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2025 | 58 | 2025 |
| 3d-mvp: 3d multiview pretraining for manipulation S Qian, K Mo, V Blukis, DF Fouhey, D Fox, A Goyal 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2025 | 50 | 2025 |
| Understanding 3D Object Interaction from a Single Image S Qian, DF Fouhey International Conference on Computer Vision (ICCV), 2023 | 47 | 2023 |
| Understanding 3D Object Articulation in Internet Videos S Qian, L Jin, C Rockwell, S Chen, DF Fouhey IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 47 | 2022 |
| Pitfalls in link prediction with graph neural networks: Understanding the impact of target-link inclusion & better practices J Zhu, Y Zhou, VN Ioannidis, S Qian, W Ai, X Song, D Koutra Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 37 | 2024 |
| The llama 4 herd: The beginning of a new era of natively multimodal ai innovation M AI https://ai. meta. com/blog/llama-4-multimodal-intelligence/, 2025 | 34 | 2025 |
| Mosaic of modalities: A comprehensive benchmark for multimodal graph learning J Zhu, Y Zhou, S Qian, Z He, T Zhao, N Shah, D Koutra 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2025 | 33 | 2025 |
| Beyond language modeling: An exploration of multimodal pretraining S Tong, D Fan, J Nguyen, E Brown, G Zhou, S Qian, B Zheng, T Vallaeys, ... arXiv preprint arXiv:2603.03276, 2026 | 30 | 2026 |
| Associative3D: Volumetric Reconstruction from Sparse Views S Qian, L Jin, D Fouhey European Conference on Computer Vision (ECCV), 2020 | 26 | 2020 |
| Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation Z Chen, S Qian, A Owens International Conference on Computer Vision (ICCV), 2023 | 22 | 2023 |
| Multimodal graph benchmark J Zhu, Y Zhou, S Qian, Z He, T Zhao, N Shah, D Koutra arXiv preprint arXiv:2406.16321 10, 2024 | 19 | 2024 |
| Linkgpt: Teaching large language models to predict missing links Z He, J Zhu, S Qian, J Chai, D Koutra arXiv preprint arXiv:2406.04640, 2024 | 16 | 2024 |
| Disco balances the scales: Adaptive domain-and difficulty-aware reinforcement learning on imbalanced data Y Zhou, J Zhu, S Qian, Z Zhao, X Wang, X Liu, M Li, P Xu, W Ai, F Huang arXiv preprint arXiv:2505.15074, 2025 | 13 | 2025 |
David FouheyNew York UniversityVerified email at nyu.edu
