Raymond A. Yeh

Orcid: 0000-0003-4375-0680

According to our database1, Raymond A. Yeh authored at least 40 papers between 2016 and 2024.

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Bibliography

2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs.
CoRR, 2024

2023
AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model.
CoRR, 2023

IMMA: Immunizing text-to-image Models against Malicious Adaptation.
CoRR, 2023

Making Vision Transformers Truly Shift-Equivariant.
CoRR, 2023

Truly Scale-Equivariant Deep Nets with Fourier Layers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction.
Proceedings of the International Conference on Machine Learning, 2023

Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting.
Proceedings of the IEEE International Conference on Image Processing, 2023

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tree Instance Segmentation with Temporal Contour Graph.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GeoCode: Interpretable Shape Programs.
CoRR, 2022

Text-Free Learning of a Natural Language Interface for Pretrained Face Generators.
CoRR, 2022

Adapting CLIP For Phrase Localization Without Further Training.
CoRR, 2022

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Total Variation Optimization Layers for Computer Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Equivariance Discovery by Learned Parameter-Sharing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Inverting Adversarially Robust Networks for Image Synthesis.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Extracting and learning structures from data
PhD thesis, 2021

EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search.
CoRR, 2021

Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers.
Proceedings of the IEEE International Conference on Acoustics, 2021

SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multi-Decoder DPRNN: High Accuracy Source Counting and Separation.
CoRR, 2020

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High-Throughput Synchronous Deep RL.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Chirality Nets for Human Pose Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Diverse Generation for Multi-Agent Sports Games.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection.
CoRR, 2018

Image Restoration with Deep Generative Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Time-Frequency Networks for Audio Super-Resolution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Unsupervised Textual Grounding: Linking Words to Image Concepts.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Video Frame Synthesis Using Deep Voxel Flow.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantic Image Inpainting with Deep Generative Models.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Semantic Facial Expression Editing using Autoencoded Flow.
CoRR, 2016

Semantic Image Inpainting with Perceptual and Contextual Losses.
CoRR, 2016

Stable and symmetric filter convolutional neural network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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