| Predicting with confidence on unseen distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 151 | 2021 |
| Weakly-supervised action localization with expectation-maximization multi-instance learning Z Luo, D Guillory, B Shi, W Ke, F Wan, T Darrell, H Xu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 139 | 2020 |
| Self-supervised pretraining improves self-supervised pretraining CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 121 | 2022 |
| A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues. D Held, D Guillory, B Rebsamen, S Thrun, S Savarese Robotics: Science and Systems 12, 2016 | 55 | 2016 |
| Studying bias in gans through the lens of race VH Maluleke, N Thakkar, T Brooks, E Weber, T Darrell, AA Efros, ... European Conference on Computer Vision, 344-360, 2022 | 40 | 2022 |
| Image and text data hierarchical classifiers A Stanton, N Raghavan, M Rajashekhar, D Guillory US Patent App. 14/866,554, 2016 | 37 | 2016 |
| Using Language to Extend to Unseen Domains. L Dunlap, C Mohri, D Guillory, H Zhang, T Darrell, JE Gonzalez, ... International Conference on Learning Representations (ICLR), 2023 | 35 | 2023 |
| An ensemble-based approach to click-through rate prediction for promoted listings at Etsy K Aryafar, D Guillory, L Hong Proceedings of the ADKDD'17, 1-6, 2017 | 28 | 2017 |
| Combating anti-blackness in the ai community D Guillory arXiv preprint arXiv:2006.16879, 2020 | 17 | 2020 |
| Hyperbolic active learning for semantic segmentation under domain shift L Franco, P Mandica, K Kallidromitis, D Guillory, YT Li, T Darrell, ... arXiv preprint arXiv:2306.11180, 2023 | 7 | 2023 |
| Using twitter data to predict box office revenues PT Barthelemy, D Guillory, C Mandal CA, United States: University of Stanford, 2012 | 6 | 2012 |
| Disentangled action recognition with knowledge bases Z Luo, S Ghosh, D Guillory, K Kato, T Darrell, H Xu arXiv preprint arXiv:2207.01708, 2022 | 5 | 2022 |
| ErrorAug: Making Errors to Find Errors in Semantic Segmentation D Guillory, D Wang, S Ishizaka, K Kozuka, T Darrell | 1 | |
| Image and text data hierarchical classifiers A Stanton, N Raghavan, M Rajashekhar, D Guillory US Patent 11,809,393, 2023 | | 2023 |
| EE368 Project: Football Video Registration and Player Detection W Riedel, D Guillory, T Mwangi | | 2013 |
| Supplementary Material: Studying Bias in GANs through the Lens of Race VH Maluleke, N Thakkar, T Brooks, E Weber, T Darrell, AA Efros, ... | | |
| Self-Supervised Pretraining Improves Self-Supervised Pretraining Supplementary Material CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... | | |
| Pyramid Mini-Batching for Optimal Transport D Guillory, K Saito, E Tzeng, Y Pitcan, K Saenko, T Darrell | | |
| Supplementary Material A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues D Held, D Guillory, B Rebsamen, S Thrun, S Savarese | | |
| Player Identification and Tracking for Football Game Tape Analysis D Guillory, W Riedel, T Mwangi | | |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyEmail confirmado em eecs.berkeley.edu
