Yuan-Hong Liao (Andrew)
Yuan-Hong Liao (Andrew)
University of Toronto, Vector Institute
Verified email at - Homepage
Cited by
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Tactics of adversarial attack on deep reinforcement learning agents
YC Lin, ZW Hong, YH Liao, ML Shih, MY Liu, M Sun
arXiv preprint arXiv:1703.06748, 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
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
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
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
arXiv preprint arXiv:2010.09890, 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
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
Emergent road rules in multi-agent driving environments
A Pal, J Philion, YH Liao, S Fidler
arXiv preprint arXiv:2011.10753, 2020
A data-centric image classification benchmark
L Schmarje, YH Liao, R Koch
Proc. NeurIPS Datacentric Al Workshop, 7, 2021
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
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, ...
arXiv preprint arXiv:2302.04832, 2023
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models?
YH Liao, R Mahmood, S Fidler, D Acuna
arXiv preprint arXiv:2404.06510, 2024
What is the Next Dataset Creation Pipeline?
YHA Liao
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
YH Liao, D Acuna, R Mahmood, J Lucas, VU Prabhu, S Fidler
The Twelfth International Conference on Learning Representations, 0
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
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