Follow
Raymond A. Yeh
Raymond A. Yeh
Assistant Professor, Purdue University
Verified email at purdue.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
1417*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
6262017
Semantic Facial Expression Editing using Autoencoded Flow
R Yeh, Z Liu, DB Goldman, A Agarwala
arXiv preprint arXiv:1611.09961, 2016
722016
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
572019
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
562017
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
532018
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
502020
PIC: permutation invariant critic for multi-agent deep reinforcement learning
IJ Liu, RA Yeh, AG Schwing
Conference on Robot Learning, 590-602, 2020
472020
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
352018
Chirality Nets for Human Pose Regression
RA Yeh, YT Hu, A Schwing
Advances in Neural Information Processing Systems, 8161-8171, 2019
282019
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
26*2019
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
IJ Liu, U Jain, RA Yeh, A Schwing
International Conference on Machine Learning, 6826-6836, 2021
222021
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
212018
Stable and symmetric filter convolutional neural network
R Yeh, M Hasegawa-Johnson, MN Do
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
122016
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
102021
High-Throughput Synchronous Deep RL
IJ Liu, RA Yeh, A Schwing
Advances in Neural Information Processing Systems 33, 2020
72020
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
6*2021
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
42019
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
IJ Liu, Z Ren, RA Yeh, AG Schwing
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
32021
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Q Jiang, X Zhang, D Chen, MN Do, RA Yeh
arXiv preprint arXiv:2111.12299, 2021
22021
The system can't perform the operation now. Try again later.
Articles 1–20