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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
1751*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
8482017
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
H Wang, X Du, J Li, RA Yeh, G Shakhnarovich
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
3582023
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
1062020
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
IJ Liu, U Jain, RA Yeh, A Schwing
International Conference on Machine Learning, 6826-6836, 2021
1052021
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
1002019
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
862018
PIC: permutation invariant critic for multi-agent deep reinforcement learning
IJ Liu, RA Yeh, AG Schwing
Conference on Robot Learning, 590-602, 2020
852020
Semantic Facial Expression Editing using Autoencoded Flow
R Yeh, Z Liu, DB Goldman, A Agarwala
arXiv preprint arXiv:1611.09961, 2016
832016
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
632017
Chirality Nets for Human Pose Regression
RA Yeh, YT Hu, A Schwing
Advances in Neural Information Processing Systems, 8161-8171, 2019
532019
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
43*2019
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
432018
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
352018
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
332021
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
19*2021
Adapting CLIP For Phrase Localization Without Further Training
J Li, G Shakhnarovich, RA Yeh
arXiv preprint arXiv:2204.03647, 2022
182022
High-Throughput Synchronous Deep RL
IJ Liu, RA Yeh, A Schwing
Advances in Neural Information Processing Systems 33, 2020
142020
Stable and symmetric filter convolutional neural network
R Yeh, M Hasegawa-Johnson, MN Do
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
142016
Equivariance Discovery by Learned Parameter-Sharing
RA Yeh, YT Hu, M Hasegawa-Johnson, A Schwing
International Conference on Artificial Intelligence and Statistics, 1527-1545, 2022
132022
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