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2020 – today
- 2024
[c12]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. EMNLP 2024: 17028-17047- [c11]Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler:
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR 2024 - [i7]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR abs/2404.06510 (2024) - [i6]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. CoRR abs/2409.09788 (2024) - 2023
- [j2]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - 2021
- [c10]Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. CVPR 2021: 4350-4359 - [c9]Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler:
Emergent Road Rules In Multi-Agent Driving Environments. ICLR 2021 - [c8]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR 2021 - [i5]Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. CoRR abs/2104.12690 (2021) - 2020
- [i4]Avik Pal
, Jonah Philion, Yuan-Hong Liao, Sanja Fidler:
Emergent Road Rules In Multi-Agent Driving Environments. CoRR abs/2011.10753 (2020)
2010 – 2019
- 2019
- [c7]Yuan-Hong Liao, Xavier Puig, Marko Boben, Antonio Torralba, Sanja Fidler:
Synthesizing Environment-Aware Activities via Activity Sketches. CVPR 2019: 6291-6299 - 2018
- [c6]Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim:
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence. ECCV (3) 2018: 162-178 - 2017
- [c5]Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. AAAI 2017: 4334-4340 - [c4]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner. ICCV 2017: 521-530 - [c3]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. ICLR (Workshop) 2017 - [c2]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. IJCAI 2017: 3756-3762 - [i3]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. CoRR abs/1703.06748 (2017) - [i2]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner. CoRR abs/1705.00930 (2017) - 2016
- [i1]Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. CoRR abs/1611.04021 (2016)
2000 – 2009
- 2008
- [j1]Yen-Jen Chang, Yuan-Hong Liao:
Hybrid-Type CAM Design for Both Power and Performance Efficiency. IEEE Trans. Very Large Scale Integr. Syst. 16(8): 965-974 (2008) - 2007
- [c1]Yen-Jen Chang, Yuan-Hong Liao, Shanq-Jang Ruan:
Improve CAM power efficiency using decoupled match line scheme. DATE 2007: 165-170
Coauthor Index
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