| Going deeper in facial expression recognition using deep neural networks A Mollahosseini, D Chan, MH Mahoor 2016 IEEE Winter conference on applications of computer vision (WACV), 1-10, 2016 | 1209 | 2016 |
| t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data DM Chan, R Rao, F Huang, JF Canny 2018 30th International Symposium on Computer Architecture and High …, 2018 | 114 | 2018 |
| Facial expression recognition from world wild web A Mollahosseini, B Hasani, MJ Salvador, H Abdollahi, D Chan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 103 | 2016 |
| GPU accelerated t-distributed stochastic neighbor embedding DM Chan, R Rao, F Huang, JF Canny Journal of Parallel and Distributed Computing 131, 1-13, 2019 | 79 | 2019 |
| Autonomous Imaging and Mapping of Small Bodies Using Deep Reinforcement Learning DM Chan, A Agha-mohammadi IEEE Aerospace Conference 2019, 2019 | 38 | 2019 |
| Rapid randomized restarts for multi-agent path finding solvers L Cohen, G Wagner, D Chan, H Choset, N Sturtevant, S Koenig, ... Proceedings of the International Symposium on Combinatorial Search 9 (1 …, 2018 | 22 | 2018 |
| Exploring exploration: Comparing children with rl agents in unified environments E Kosoy, J Collins, DM Chan, S Huang, D Pathak, P Agrawal, J Canny, ... arXiv preprint arXiv:2005.02880, 2020 | 21 | 2020 |
| A semantic segmentation network for urban-scale building footprint extraction using rgb satellite imagery A Jiwani, S Ganguly, C Ding, N Zhou, DM Chan arXiv preprint arXiv:2104.01263, 2021 | 20 | 2021 |
| Using hierarchical constraints to avoid conflicts in multi-agent pathfinding T Walker, D Chan, N Sturtevant Proceedings of the International Conference on Automated Planning and …, 2017 | 18 | 2017 |
| Multi-modal pre-training for automated speech recognition DM Chan, S Ghosh, D Chakrabarty, B Hoffmeister ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 15 | 2022 |
| Domain adaptation with external off-policy acoustic catalogs for scalable contextual end-to-end automated speech recognition DM Chan, S Ghosh, A Rastrow, B Hoffmeister ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13* | 2023 |
| Rapid Randomized Restarts for Multi-Agent Path Finding: Preliminary Results. L Cohen, S Koenig, TKS Kumar, G Wagner, H Choset, DM Chan, ... AAMAS, 1909-1911, 2018 | 13 | 2018 |
| ZPD teaching strategies for deep reinforcement learning from demonstrations D Seita, D Chan, R Rao, C Tang, M Zhao, J Canny arXiv preprint arXiv:1910.12154, 2019 | 12 | 2019 |
| See Say and Segment: Teaching LMMs to Overcome False Premises TH Wu, G Biamby, D Chan, L Dunlap, R Gupta, X Wang, JE Gonzalez, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Clair: Evaluating image captions with large language models D Chan, S Petryk, JE Gonzalez, T Darrell, J Canny Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 9 | 2023 |
| Content-context factorized representations for automated speech recognition DM Chan, S Ghosh Proceedings of Interspeech 2022, 61-65, 2022 | 9 | 2022 |
| Conversational Physical Activity Coaches For Spanish and English Speaking Women: a User Design Study C Figueroa, T Luo, A Jacobo, A Munoz, M Manuel, D Chan, J Canny, ... Frontiers in Digital Health, 134, 2021 | 9 | 2021 |
| IC3: Image Captioning by Committee Consensus DM Chan, A Myers, S Vijayanarasimhan, DA Ross, J Canny Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 8 | 2023 |
| Scalable and accurate self-supervised multimodal representation learning without aligned video and text data V Lialin, S Rawls, D Chan, S Ghosh, A Rumshisky, W Hamza Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Towards understanding how machines can learn causal overhypotheses E Kosoy, DM Chan, A Liu, J Collins, B Kaufmann, SH Huang, JB Hamrick, ... arXiv preprint arXiv:2206.08353, 2022 | 6 | 2022 |
John CannyUniversity of California, Berkeley在 cs.berkeley.edu 的电子邮件经过验证
