| Visual programming: Compositional visual reasoning without training T Gupta, A Kembhavi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 363 | 2023 |
| Completing 3d object shape from one depth image J Rock, T Gupta, J Thorsen, JY Gwak, D Shin, D Hoiem Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 212 | 2015 |
| No-frills human-object interaction detection: Factorization, layout encodings, and training techniques T Gupta, A Schwing, D Hoiem Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 169 | 2019 |
| Contrastive learning for weakly supervised phrase grounding T Gupta, A Vahdat, G Chechik, X Yang, J Kautz, D Hoiem European Conference on Computer Vision, 752-768, 2020 | 146 | 2020 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 95 | 2024 |
| Towards general purpose vision systems: An end-to-end task-agnostic vision-language architecture T Gupta, A Kamath, A Kembhavi, D Hoiem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 91 | 2022 |
| Imagine this! scripts to compositions to videos T Gupta, D Schwenk, A Farhadi, D Hoiem, A Kembhavi Proceedings of the European conference on computer vision (ECCV), 598-613, 2018 | 88 | 2018 |
| Visual semantic role labeling for video understanding A Sadhu, T Gupta, M Yatskar, R Nevatia, A Kembhavi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 71 | 2021 |
| Webly supervised concept expansion for general purpose vision models A Kamath, C Clark, T Gupta, E Kolve, D Hoiem, A Kembhavi European Conference on Computer Vision, 662-681, 2022 | 58 | 2022 |
| Vico: Word embeddings from visual co-occurrences T Gupta, A Schwing, D Hoiem Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 34 | 2019 |
| Grit: General robust image task benchmark T Gupta, R Marten, A Kembhavi, D Hoiem arXiv preprint arXiv:2204.13653, 2022 | 31 | 2022 |
| Object 3dit: Language-guided 3d-aware image editing O Michel, A Bhattad, E VanderBilt, R Krishna, A Kembhavi, T Gupta Advances in Neural Information Processing Systems 36, 2024 | 27 | 2024 |
| Learning curves for analysis of deep networks D Hoiem, T Gupta, Z Li, M Shlapentokh-Rothman International conference on machine learning, 4287-4296, 2021 | 25 | 2021 |
| Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks T Gupta, K Shih, S Singh, D Hoiem International Conference on Computer Vision (ICCV), 2017 | 24 | 2017 |
| SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World K Ehsani, T Gupta, R Hendrix, J Salvador, L Weihs, KH Zeng, KP Singh, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 20* | 2024 |
| Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models M Deitke, C Clark, S Lee, R Tripathi, Y Yang, JS Park, M Salehi, ... arXiv preprint arXiv:2409.17146, 2024 | 16 | 2024 |
| Task Me Anything J Zhang, W Huang, Z Ma, O Michel, D He, T Gupta, WC Ma, A Farhadi, ... arXiv preprint arXiv:2406.11775, 2024 | 12 | 2024 |
| m &m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks Z Ma, W Huang, J Zhang, T Gupta, R Krishna European Conference on Computer Vision, 18-34, 2025 | 9 | 2025 |
| 3dfs: Deformable dense depth fusion and segmentation for object reconstruction from a handheld camera T Gupta, D Shin, N Sivagnanadasan, D Hoiem arXiv preprint arXiv:1606.05002, 2016 | 6 | 2016 |
| Joint representation learning from images and text A Vahdat, T Gupta, X Yang, J Kautz US Patent 11,948,078, 2024 | 2 | 2024 |
Derek HoiemProfessor of Computer Science, University of IllinoisVerified email at illinois.edu
