| Tactics of adversarial attack on deep reinforcement learning agents YC Lin, ZW Hong, YH Liao, ML Shih, MY Liu, M Sun Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 516 | 2017 |
| Leveraging video descriptions to learn video question answering KH Zeng, TH Chen, CY Chuang, YH Liao, JC Niebles, M Sun Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 210 | 2017 |
| Show, adapt and tell: Adversarial training of cross-domain image captioner TH Chen, YH Liao, CY Chuang, WT Hsu, J Fu, M Sun Proceedings of the IEEE international conference on computer vision, 521-530, 2017 | 182 | 2017 |
| Multi-view to novel view: Synthesizing novel views with self-learned confidence SH Sun, M Huh, YH Liao, N Zhang, JJ Lim Proceedings of the European Conference on Computer Vision (ECCV), 155-171, 2018 | 165 | 2018 |
| Watch-and-help: A challenge for social perception and human-ai collaboration X Puig, T Shu, S Li, Z Wang, YH Liao, JB Tenenbaum, S Fidler, A Torralba International Conference on Learning Representations 2021, 2020 | 134 | 2020 |
| Synthesizing environment-aware activities via activity sketches YH Liao, X Puig, M Boben, A Torralba, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Towards good practices for efficiently annotating large-scale image classification datasets YH Liao, A Kar, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 34 | 2021 |
| Emergent road rules in multi-agent driving environments A Pal, J Philion, YH Liao, S Fidler International Conference on Learning Representations 2021, 2020 | 22 | 2020 |
| A data-centric image classification benchmark L Schmarje, YH Liao, R Koch Proc. NeurIPS Datacentric Al Workshop, 7, 2021 | 11 | 2021 |
| Bridging the sim2real gap with care: Supervised detection adaptation with conditional alignment and reweighting V Prabhu, D Acuna, A Liao, R Mahmood, MT Law, J Hoffman, S Fidler, ... Transactions on Machine Learning Research 2023, 2023 | 8 | 2023 |
| Towards Good Practices for Efficiently Annotating Large-Scale Image. 2021 IEEE YH Liao, A Kar, S Fidler CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4348-4357, 2021 | 6 | 2021 |
| Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? YH Liao, R Mahmood, S Fidler, D Acuna arXiv preprint arXiv:2404.06510, 2024 | 4 | 2024 |
| Reasoning paths with reference objects elicit quantitative spatial reasoning in large vision-language models YH Liao, R Mahmood, S Fidler, D Acuna Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 2 | 2024 |
| Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets YH Liao, D Acuna, R Mahmood, J Lucas, VU Prabhu, S Fidler International Conference on Learning Representations 2024, 2024 | | 2024 |
| What is the Next Dataset Creation Pipeline? YHA Liao | | 2021 |
| Can Large Vision-Language Models Correct Grounding Errors By Themselves? YH Liao, R Mahmood, S Fidler, D Acuna | | |
| LA-BALD: An Information-Theoretic Image Labeling Task Sampler YH Liao, S Fidler | | |
| Supplementary Materials of Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets YH Liao, A Kar, S Fidler risk 70 (80), 90, 0 | | |
Sanja FidlerUniversity of Toronto, NVIDIAZweryfikowany adres z cs.toronto.edu