| Lxmert: Learning cross-modality encoder representations from transformers H Tan, M Bansal Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 4045 | 2019 |
| Lrm: Large reconstruction model for single image to 3d Y Hong, K Zhang, J Gu, S Bi, Y Zhou, D Liu, F Liu, K Sunkavalli, T Bui, ... International Conference on Learning Representations 2024, 50678-50702, 2024 | 1145 | 2024 |
| Unifying vision-and-language tasks via text generation J Cho, J Lei, H Tan, M Bansal International Conference on Machine Learning, 1931-1942, 2021 | 789 | 2021 |
| How much can clip benefit vision-and-language tasks? S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ... arXiv preprint arXiv:2107.06383, 2021 | 678 | 2021 |
| Learning to navigate unseen environments: Back translation with environmental dropout H Tan, L Yu, M Bansal Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 525 | 2019 |
| Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model J Li, H Tan, K Zhang, Z Xu, F Luan, Y Xu, Y Hong, K Sunkavalli, ... International conference on learning representations 2024, 21896-21920, 2024 | 519 | 2024 |
| Gs-lrm: Large reconstruction model for 3d gaussian splatting K Zhang, S Bi, H Tan, Y Xiangli, N Zhao, K Sunkavalli, Z Xu European Conference on Computer Vision, 1-19, 2024 | 446 | 2024 |
| Test-time training done right T Zhang, S Bi, Y Hong, K Zhang, F Luan, S Yang, K Sunkavalli, ... International Conference on Learning Representations 2026, 157604-157638, 2026 | 354 | 2026 |
| A joint speaker-listener-reinforcer model for referring expressions L Yu, H Tan, M Bansal, TL Berg 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3521 …, 2017 | 334 | 2017 |
| Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model Y Xu, H Tan, F Luan, S Bi, P Wang, J Li, Z Shi, K Sunkavalli, G Wetzstein, ... International Conference on Learning Representations 2024, 33168-33184, 2024 | 254 | 2024 |
| Scaling data generation in vision-and-language navigation Z Wang, J Li, Y Hong, Y Wang, Q Wu, M Bansal, S Gould, H Tan, Y Qiao 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 11975-11986, 2023 | 224 | 2023 |
| Pf-lrm: Pose-free large reconstruction model for joint pose and shape prediction P Wang, H Tan, S Bi, Y Xu, F Luan, K Sunkavalli, W Wang, Z Xu, K Zhang International Conference on Learning Representations 2024, 18187-18208, 2024 | 215 | 2024 |
| Lvsm: A large view synthesis model with minimal 3d inductive bias H Jin, H Jiang, H Tan, K Zhang, S Bi, T Zhang, F Luan, N Snavely, Z Xu arXiv preprint arXiv:2410.17242, 2024 | 208 | 2024 |
| Vokenization: Improving language understanding with contextualized, visual-grounded supervision H Tan, M Bansal Proceedings of the 2020 Conference on empirical methods in natural language …, 2020 | 174 | 2020 |
| Meshlrm: Large reconstruction model for high-quality meshes X Wei, K Zhang, S Bi, H Tan, F Luan, V Deschaintre, K Sunkavalli, H Su, ... arXiv preprint arXiv:2404.12385, 2024 | 167 | 2024 |
| Envedit: Environment editing for vision-and-language navigation J Li, H Tan, M Bansal 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 166 | 2022 |
| Long-lrm: Long-sequence large reconstruction model for wide-coverage gaussian splats C Ziwen, H Tan, K Zhang, S Bi, F Luan, Y Hong, L Fuxin, Z Xu 2025 IEEE/CVF International Conference on Computer Vision (ICCV), 4349-4359, 2025 | 120 | 2025 |
| Vimpac: Video pre-training via masked token prediction and contrastive learning H Tan, J Lei, T Wolf, M Bansal arXiv preprint arXiv:2106.11250, 2021 | 117 | 2021 |
| Expressing visual relationships via language H Tan, F Dernoncourt, Z Lin, T Bui, M Bansal Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 110 | 2019 |
| Progressive autoregressive video diffusion models D Xie, Z Xu, Y Hong, H Tan, D Liu, F Liu, A Kaufman, Y Zhou 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2025 | 91 | 2025 |