| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, G Schindler, R Hornung, ... arXiv preprint arXiv:2312.14125, 2023 | 412 | 2023 |
| Photorealistic video generation with diffusion models A Gupta, L Yu, K Sohn, X Gu, M Hahn, FF Li, I Essa, L Jiang, J Lezama European Conference on Computer Vision, 393-411, 2024 | 287 | 2024 |
| Tripping through time: Efficient Localization of Activities in Videos M Hahn, A Kadav, JM Rehg, HP Graf British Machine Vision Conference (BMVC), 2020 | 112 | 2020 |
| No RL, No Simulation: Learning to Navigate without Navigating M Hahn, D Chaplot, S Tulsiani, M Mukadam, JM Rehg, A Gupta Advances in Neural Information Processing Systems, 2021 | 110 | 2021 |
| Action2Vec: A Crossmodal Embedding Approach to Action Learning M Hahn, A Silva, JM Rehg The IEEE Conference Conference on Computer Vision and Pattern Recognition …, 2018 | 76 | 2018 |
| Where are you? localization from embodied dialog M Hahn, J Krantz, D Batra, D Parikh, JM Rehg, S Lee, P Anderson Empirical Methods in Natural Language Processing (EMNLP), 2020 | 35 | 2020 |
| Situated bayesian reasoning framework for robots operating in diverse everyday environments S Chernova, V Chu, A Daruna, H Garrison, M Hahn, P Khante, W Liu, ... Robotics Research: The 18th International Symposium ISRR, 353-369, 2019 | 33 | 2019 |
| Deep tracking: Visual tracking using deep convolutional networks M Hahn, S Chen, A Dehghan arXiv preprint arXiv:1512.03993, 2015 | 12 | 2015 |
| Videopoet: A large language model for zero-shot video generation, 2024 D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, G Schindler, R Hornung, ... URL https://arxiv. org/abs/2312.14125 1, 2024 | 11* | 2024 |
| FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models G Zhang, K Sohn, M Hahn, H Shi, I Essa The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 11 | 2024 |
| Learning to localize and align fine-grained actions to sparse instructions M Hahn, N Ruiz, JB Alayrac, I Laptev, JM Rehg The IEEE Conference Conference on Computer Vision and Pattern Recognition …, 2017 | 10 | 2017 |
| Transformer-based Localization from Embodied Dialog with Large-scale Pre-training M Hahn, JM Rehg Conference of the Asia-Pacific Association for Computational Linguistics …, 2022 | 9 | 2022 |
| Proactive agents for multi-turn text-to-image generation under uncertainty M Hahn, W Zeng, N Kannen, R Galt, K Badola, B Kim, Z Wang arXiv preprint arXiv:2412.06771, 2024 | 8 | 2024 |
| Efficient and fine-grained video retrieval A Kadav, I Melvin, HP Graf, M Hahn US Patent 11,568,247, 2023 | 7 | 2023 |
| MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation S Yu, M Hahn, D Kondratyuk, J Shin, A Gupta, J Lezama, I Essa, D Ross, ... arXiv preprint arXiv:2502.12632, 2025 | 5 | 2025 |
| SiRoK: Situated Robot Knowledge-Understanding the Balance Between Situated Knowledge and Variability. AA Daruna, V Chu, W Liu, M Hahn, P Khante, S Chernova, A Thomaz AAAI Spring Symposia, 2018 | 4 | 2018 |
| Which way is right?: Uncovering limitations of Vision-and-Language Navigation model M Hahn, A Raj, JM Rehg arXiv preprint arXiv:2312.00151, 2023 | 3 | 2023 |
| Learning a visually grounded memory assistant M Hahn, K Carlberg, R Desai, J Hillis arXiv preprint arXiv:2210.03787, 2022 | 2 | 2022 |
| Text and Click inputs for unambiguous open vocabulary instance segmentation N Warner, M Hahn, J Huang, I Essa, V Birodkar arXiv preprint arXiv:2311.14822, 2023 | 1 | 2023 |
| Generating temporal sequences using diffusion transformer neural networks S Yu, MS Hahn, A Gupta, JLT de la Llosa, IA Essa, DA Ross, J Huang US Patent App. 19/216,518, 2025 | | 2025 |
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
