Raymond A. Yeh
Raymond A. Yeh
Research Assistant Professor, Toyota Technology Institute at Chicago
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Semantic Image Inpainting with Deep Generative Models
RA Yeh, C Chen, TY Lim, AG Schwing, M Hasegawa-Johnson, MN Do
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
1134*2017
Video Frame Synthesis using Deep Voxel Flow
Z Liu, RA Yeh, X Tang, Y Liu, A Agarwala
International Conference on Computer Vision (ICCV), 2017
4652017
Semantic Facial Expression Editing using Autoencoded Flow
R Yeh, Z Liu, DB Goldman, A Agarwala
arXiv preprint arXiv:1611.09961, 2016
632016
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
RA Yeh, J Xiong, WM Hwu, M Do, A Schwing
Advances in Neural Information Processing Systems, 1909-1919, 2017
432017
Time-Frequency Networks for Audio Super-Resolution
TY Lim, RA Yeh, Y Xu, MN Do, M Hasegawa-Johnson
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
372018
Diverse generation for multi-agent sports games
RA Yeh, AG Schwing, J Huang, K Murphy
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
362019
PIC: permutation invariant critic for multi-agent deep reinforcement learning
IJ Liu, RA Yeh, AG Schwing
Conference on Robot Learning, 590-602, 2020
252020
Unsupervised Textual Grounding: Linking Words to Image Concepts
RA Yeh, MN Do, AG Schwing
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
242018
Learning motion in feature space: Locally-consistent deformable convolution networks for fine-grained action detection
KNC Mac, D Joshi, RA Yeh, J Xiong, RS Feris, MN Do
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
17*2019
Image Restoration with Deep Generative Models
RA Yeh, TY Lim, C Chen, AG Schwing, M Hasegawa-Johnson, MN Do
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
152018
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Z Ren, RA Yeh, A Schwing
Advances in Neural Information Processing Systems 33, 2020
122020
Chirality Nets for Human Pose Regression
RA Yeh, YT Hu, A Schwing
Advances in Neural Information Processing Systems, 8161-8171, 2019
12*2019
Stable and symmetric filter convolutional neural network
R Yeh, M Hasegawa-Johnson, MN Do
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
112016
High-Throughput Synchronous Deep RL
IJ Liu, RA Yeh, A Schwing
Advances in Neural Information Processing Systems 33, 2020
52020
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
IJ Liu, U Jain, RA Yeh, A Schwing
International Conference on Machine Learning, 6826-6836, 2021
22021
Action detection by exploiting motion in receptive fields
KNC Mac, RA Yeh, D Joshi, MN Do, R Feris, JJ Xiong
US Patent App. 15/982,181, 2019
22019
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
IJ Liu, Z Ren, RA Yeh, AG Schwing
arXiv preprint arXiv:2108.03319, 2021
12021
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
YT Hu, J Wang, RA Yeh, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Inverting Adversarially Robust Networks for Image Synthesis
RA Rojas-Gomez, RA Yeh, MN Do, A Nguyen
arXiv preprint arXiv:2106.06927, 2021
2021
Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers
J Zhu, RA Yeh, M Hasegawa-Johnson
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
2021
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