Raymond A. Yeh

97 papers A* 26A 3B 1Misc 5Journal 54Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Building Instance Segmentation for Dense Urban Settlements. AAAI Adnan Firoze, Raymond A. Yeh, Daniel G. Aliaga
2026	J	`jnl`	Designing to Forget: Deep Semi-parametric Models for Unlearning. CoRR Amber Yijia Zheng, Yu-Shan Tai, Raymond A. Yeh
2026	J	`jnl`	Tunable Soft Equivariance with Guarantees. CoRR Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang, Teck-Yian Lim, Raymond A. Yeh
2026	A*	`conf`	Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models. AAAI Jae Joong Lee, Bedrich Benes, Raymond A. Yeh
2026	J	`jnl`	WebAccessVL: Making an Accessible Web via Violation-Conditioned VLM. CoRR Amber Yijia Zheng, Jae Joong Lee, Bedrich Benes, Raymond A. Yeh
2025	J	`jnl`	4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation. CoRR Chiao-An Yang, Ryo Hachiuma, Sifei Liu, Subhashree Radhakrishnan, Raymond A. Yeh, Yu-Chiang Frank Wang, Min-Hung Chen
2025	J	`jnl`	Auto-Vocabulary 3D Object Detection. CoRR Haomeng Zhang, Kuan-Chuan Peng, Suhas Lohit, Raymond A. Yeh
2025	J	`jnl`	CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models. CoRR Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu
2025	J	`jnl`	CLIPSym: Delving into Symmetry Detection with CLIP. CoRR Tinghan Yang, Md Ashiqur Rahman, Raymond A. Yeh
2025	J	`jnl`	DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP. CoRR Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen
2025	J	`jnl`	GeoCode: Interpretable Shape Programs. Comput. Graph. Forum Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, Rana Hanocka
2025	A*	`conf`	Group Downsampling with Equivariant Anti-aliasing. ICLR Md Ashiqur Rahman, Raymond A. Yeh
2025	J	`jnl`	Group Downsampling with Equivariant Anti-aliasing. CoRR Md Ashiqur Rahman, Raymond A. Yeh
2025	J	`jnl`	Heatmap Regression without Soft-Argmax for Facial Landmark Detection. CoRR Chiao-An Yang, Raymond A. Yeh
2025	J	`jnl`	Knowledge Distillation Detection for Open-weights Models. CoRR Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh
2025	A*	`conf`	Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection. CVPR Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu
2025	J	`jnl`	Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection. CoRR Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu
2025	J	`jnl`	Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer. CoRR Md Ashiqur Rahman, Chiao-An Yang, Michael N. Cheng, Lim Jun Hao, Jeremiah Jiang, Teck-Yian Lim, Raymond A. Yeh
2025	A*	`conf`	Model Immunization from a Condition Number Perspective. ICML Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh
2025	J	`jnl`	Model Immunization from a Condition Number Perspective. CoRR Amber Yijia Zheng, Cedar Site Bai, Brian Bullins, Raymond A. Yeh
2025	A*	`conf`	Multi-concept Model Immunization through Differentiable Model Merging. AAAI Amber Yijia Zheng, Raymond A. Yeh
2025	J	`jnl`	Semantic Consistent Language Gaussian Splatting for Point-Level Open-vocabulary Querying. CoRR Hairong Yin, Huangying Zhan, Yi Xu, Raymond A. Yeh
2025	J	`jnl`	ShapeGen4D: Towards High Quality 4D Shape Generation from Videos. CoRR Jiraphon Yenphraphai, Ashkan Mirzaei, Jianqi Chen, Jiaxu Zou, Sergey Tulyakov, Raymond A. Yeh, Peter Wonka, Chaoyang Wang
2025	J	`jnl`	Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts. CoRR Chiao-An Yang, Kuan-Chuan Peng, Raymond A. Yeh
2025	J	`jnl`	Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models. CoRR Jae Joong Lee, Bedrich Benes, Raymond A. Yeh
2024	A*	`conf`	Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. CVPR Joshua Ahn, Haochen Wang, Raymond A. Yeh, Greg Shakhnarovich
2024	J	`jnl`	Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. CoRR Joshua Ahn, Haochen Wang, Raymond A. Yeh, Greg Shakhnarovich
2024	—	`conf`	Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time. ECCV (21) Chiao-An Yang, Ziwei Liu, Raymond A. Yeh
2024	J	`jnl`	Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time. CoRR Chiao-An Yang, Ziwei Liu, Raymond A. Yeh
2024	—	`conf`	IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation. ECCV (39) Amber Yijia Zheng, Raymond A. Yeh
2024	—	`conf`	Learning to Obstruct Few-Shot Image Classification over Restricted Classes. ECCV (20) Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh
2024	J	`jnl`	Learning to Obstruct Few-Shot Image Classification over Restricted Classes. CoRR Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh
2024	A*	`conf`	Making Vision Transformers Truly Shift-Equivariant. CVPR Renan A. Rojas-Gomez, Teck-Yian Lim, Minh N. Do, Raymond A. Yeh
2024	A*	`conf`	Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention. NeurIPS Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh
2024	J	`jnl`	Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention. CoRR Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh
2024	J	`jnl`	Multi-concept Model Immunization through Differentiable Model Merging. CoRR Amber Yijia Zheng, Raymond A. Yeh
2024	A*	`conf`	Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. NeurIPS Md. Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Animashree Anandkumar
2024	J	`jnl`	Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
2024	—	`conf`	Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. ECCV (41) Jae Joong Lee, Bosheng Li, Sara Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes
2024	J	`jnl`	Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. CoRR Jae Joong Lee, Bosheng Li, Sara Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes
2023	J	`jnl`	AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model. CoRR Boheng Zhao, Rana Hanocka, Raymond A. Yeh
2023	B	`conf`	Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. ICIP Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang
2023	J	`jnl`	IMMA: Immunizing text-to-image Models against Malicious Adaptation. CoRR Yijia Zheng, Raymond A. Yeh
2023	J	`jnl`	Making Vision Transformers Truly Shift-Equivariant. CoRR Renan A. Rojas-Gomez, Teck-Yian Lim, Minh N. Do, Raymond A. Yeh
2023	A*	`conf`	Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. CVPR Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
2023	A*	`conf`	Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction. ICML Yuan-Ting Hu, Alexander G. Schwing, Raymond A. Yeh
2023	A*	`conf`	Tree Instance Segmentation with Temporal Contour Graph. CVPR Adnan Firoze, Cameron Wingren, Raymond A. Yeh, Bedrich Benes, Daniel G. Aliaga
2023	A*	`conf`	Truly Scale-Equivariant Deep Nets with Fourier Layers. NeurIPS Md Ashiqur Rahman, Raymond A. Yeh
2023	J	`jnl`	Truly Scale-Equivariant Deep Nets with Fourier Layers. CoRR Md Ashiqur Rahman, Raymond A. Yeh
2022	J	`jnl`	Adapting CLIP For Phrase Localization Without Further Training. CoRR Jiahao Li, Greg Shakhnarovich, Raymond A. Yeh
2022	A	`conf`	Equivariance Discovery by Learned Parameter-Sharing. AISTATS Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing
2022	J	`jnl`	Equivariance Discovery by Learned Parameter-Sharing. CoRR Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing
2022	J	`jnl`	GeoCode: Interpretable Shape Programs. CoRR Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, Rana Hanocka
2022	—	`conf`	Inverting Adversarially Robust Networks for Image Synthesis. ACCV (6) Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do, Anh Nguyen
2022	A*	`conf`	Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. NeurIPS Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh
2022	J	`jnl`	Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. CoRR Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh
2022	J	`jnl`	Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. CoRR Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
2022	A	`conf`	TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation. BMVC William Gao, April Wang, Gal Metzer, Raymond A. Yeh, Rana Hanocka
2022	J	`jnl`	TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation. CoRR William Gao, April Wang, Gal Metzer, Raymond A. Yeh, Rana Hanocka
2022	J	`jnl`	Text-Free Learning of a Natural Language Interface for Pretrained Face Generators. CoRR Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich
2022	A*	`conf`	Total Variation Optimization Layers for Computer Vision. CVPR Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2022	J	`jnl`	Total Variation Optimization Layers for Computer Vision. CoRR Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2021	A*	`conf`	Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. ICML Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing
2021	J	`jnl`	Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. CoRR Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing
2021	J	`jnl`	EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search. CoRR Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh
2021	—	`—`	Extracting and learning structures from data Raymond A. Yeh
2021	J	`jnl`	Inverting Adversarially Robust Networks for Image Synthesis. CoRR Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do, Anh Nguyen
2021	Misc	`conf`	Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers. ICASSP Junzhe Zhu, Raymond A. Yeh, Mark Hasegawa-Johnson
2021	A*	`conf`	SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. CVPR Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021	—	`conf`	SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. CVPR Workshops Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021	J	`jnl`	SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data. CoRR Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021	A	`conf`	Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. IROS Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2021	J	`jnl`	Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. CoRR Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2020	A*	`conf`	High-Throughput Synchronous Deep RL. NeurIPS Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2020	J	`jnl`	High-Throughput Synchronous Deep RL. CoRR Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2020	J	`jnl`	Multi-Decoder DPRNN: High Accuracy Source Counting and Separation. CoRR Junzhe Zhu, Raymond A. Yeh, Mark Hasegawa-Johnson
2020	A*	`conf`	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. NeurIPS Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2020	J	`jnl`	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. CoRR Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2019	A*	`conf`	Chirality Nets for Human Pose Regression. NeurIPS Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing
2019	J	`jnl`	Chirality Nets for Human Pose Regression. CoRR Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing
2019	A*	`conf`	Diverse Generation for Multi-Agent Sports Games. CVPR Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy
2019	A*	`conf`	Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. ICCV Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
2019	Misc	`conf`	PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. CoRL Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2019	J	`jnl`	PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. CoRR Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2018	Misc	`conf`	Image Restoration with Deep Generative Models. ICASSP Raymond A. Yeh, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
2018	J	`jnl`	Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. CoRR Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing
2018	J	`jnl`	Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. CoRR Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
2018	Misc	`conf`	Time-Frequency Networks for Audio Super-Resolution. ICASSP Teck-Yian Lim, Raymond A. Yeh, Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson
2018	A*	`conf`	Unsupervised Textual Grounding: Linking Words to Image Concepts. CVPR Raymond A. Yeh, Minh N. Do, Alexander G. Schwing
2018	J	`jnl`	Unsupervised Textual Grounding: Linking Words to Image Concepts. CoRR Raymond A. Yeh, Minh N. Do, Alexander G. Schwing
2017	—	`conf`	Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. NIPS Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing
2017	A*	`conf`	Semantic Image Inpainting with Deep Generative Models. CVPR Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
2017	A*	`conf`	Video Frame Synthesis Using Deep Voxel Flow. ICCV Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala
2017	J	`jnl`	Video Frame Synthesis using Deep Voxel Flow. CoRR Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala
2016	J	`jnl`	Semantic Facial Expression Editing using Autoencoded Flow. CoRR Raymond A. Yeh, Ziwei Liu, Dan B. Goldman, Aseem Agarwala
2016	J	`jnl`	Semantic Image Inpainting with Perceptual and Contextual Losses. CoRR Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Mark Hasegawa-Johnson, Minh N. Do
2016	Misc	`conf`	Stable and symmetric filter convolutional neural network. ICASSP Raymond A. Yeh, Mark Hasegawa-Johnson, Minh N. Do