Gao Yang
Gao Yang
Computer Science IIIS, Tsinghua University
Verified email at - Homepage
Cited by
Cited by
End-to-end learning of driving models from large-scale video datasets
H Xu, Y Gao, F Yu, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Deep learning for tactile understanding from visual and haptic data
Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell
2016 IEEE international conference on robotics and automation (ICRA), 536-543, 2016
Reinforcement learning from imperfect demonstrations
Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell
arXiv preprint arXiv:1802.05313, 2018
Mastering atari games with limited data
W Ye, S Liu, T Kurutach, P Abbeel, Y Gao
Advances in neural information processing systems 34, 25476-25488, 2021
Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation
X Yue, Z Zheng, S Zhang, Y Gao, T Darrell, K Keutzer, AS Vincentelli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Risk Averse Robust Adversarial Reinforcement Learning
X Pan, D Seita, Y Gao, J Canny
International Conference on Robotics and Automation (ICRA), 2019
Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data
S Sinha, D Thomas, S Chan, Y Gao, D Brunen, D Torabi, A Reinisch, ...
Nature communications 8 (1), 15580, 2017
epointda: An end-to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation
S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3500-3509, 2021
Fine-grained pose prediction, normalization, and recognition
N Zhang, E Shelhamer, Y Gao, T Darrell
International Conference on Learning Representations (ICLR), 2016, 2015
A fully unsupervised non-intrusive load monitoring framework
R Jia, Y Gao, CJ Spanos
2015 IEEE international conference on smart grid communications …, 2015
Pre-trained image encoder for generalizable visual reinforcement learning
Z Yuan, Z Xue, B Yuan, X Wang, Y Wu, Y Gao, H Xu
Neural Information Processing Systems (NeurIPS), 2022, 2022
Generalized orderless pooling performs implicit salient matching
M Simon, Y Gao, T Darrell, J Denzler, E Rodner
Proceedings of the IEEE international conference on computer vision, 4960-4969, 2017
Fighting copycat agents in behavioral cloning from observation histories
C Wen, J Lin, T Darrell, D Jayaraman, Y Gao
Advances in Neural Information Processing Systems 33, 2564-2575, 2020
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
R Zhao, J Song, H Haifeng, Y Gao, Y Wu, Z Sun, Y Wei
AAAI Conference on Artificial Intelligence (AAAI), 2023, 2023
Look before you leap: Unveiling the power of gpt-4v in robotic vision-language planning
Y Hu, F Lin, T Zhang, L Yi, Y Gao
arXiv preprint arXiv:2311.17842, 2023
Proton: A visuo-haptic data acquisition system for robotic learning of surface properties
A Burka, S Hu, S Helgeson, S Krishnan, Y Gao, LA Hendricks, T Darrell, ...
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
Mutual information state intrinsic control
R Zhao, Y Gao, P Abbeel, V Tresp, W Xu
International Conference on Learning Representations (ICLR), 2021, 2021
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
YG Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu
International Conference on Learning Representations (ICLR), 2023
Elegant: Exquisite and locally editable gan for makeup transfer
C Yang, W He, Y Xu, Y Gao
European Conference on Computer Vision, 737-754, 2022
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