| 2026 | AAAI | Building Instance Segmentation for Dense Urban Settlements. | Adnan Firoze, Raymond A. Yeh, Daniel G. Aliaga |
| 2026 | AAAI | Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models. | Jae Joong Lee, Bedrich Benes, Raymond A. Yeh |
| 2025 | AAAI | Multi-concept Model Immunization through Differentiable Model Merging. | Amber Yijia Zheng, Raymond A. Yeh |
| 2025 | CVPR | Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection. | Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu |
| 2025 | ICCV | Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer. | Md Ashiqur Rahman, Chiao-An Yang, Michael N. Cheng, Lim Jun Hao, Jeremiah Jiang, Teck-Yian Lim, Raymond A. Yeh |
| 2025 | ICCV | Toward Long-Tailed Online Anomaly Detection Through Class-Agnostic Concepts. | Chiao-An Yang, Kuan-Chuan Peng, Raymond A. Yeh |
| 2025 | ICCV | CLIPSym: Delving into Symmetry Detection with CLIP. | Tinghan Yang, Md Ashiqur Rahman, Raymond A. Yeh |
| 2025 | ICCV | Heatmap Regression without Soft-Argmax for Facial Landmark Detection. | Chiao-An Yang, Raymond A. Yeh |
| 2025 | ICLR | Group Downsampling with Equivariant Anti-aliasing. | Md Ashiqur Rahman, Raymond A. Yeh |
| 2025 | ICML | Model Immunization from a Condition Number Perspective. | Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh |
| 2024 | CVPR | Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. | Joshua Ahn, Haochen Wang, Raymond A. Yeh, Greg Shakhnarovich |
| 2024 | CVPR | Making Vision Transformers Truly Shift-Equivariant. | Renan A. Rojas-Gomez, Teck-Yian Lim, Minh N. Do, Raymond A. Yeh |
| 2024 | ECCV | Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. | Jae Joong Lee, Bosheng Li, Sara Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes |
| 2024 | ECCV | Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time. | Chiao-An Yang, Ziwei Liu, Raymond A. Yeh |
| 2024 | ECCV | IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation. | Amber Yijia Zheng, Raymond A. Yeh |
| 2024 | ECCV | Learning to Obstruct Few-Shot Image Classification over Restricted Classes. | Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh |
| 2023 | CVPR | Tree Instance Segmentation with Temporal Contour Graph. | Adnan Firoze, Cameron Wingren, Raymond A. Yeh, Bedrich Benes, Daniel G. Aliaga |
| 2023 | CVPR | Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. | Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich |
| 2023 | ICIP | Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. | Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang |
| 2023 | ICML | Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction. | Yuan-Ting Hu, Alexander G. Schwing, Raymond A. Yeh |
| 2022 | ACCV | Inverting Adversarially Robust Networks for Image Synthesis. | Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do, Anh Nguyen |
| 2022 | AISTATS | Equivariance Discovery by Learned Parameter-Sharing. | Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing |
| 2022 | BMVC | TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation. | William Gao, April Wang, Gal Metzer, Raymond A. Yeh, Rana Hanocka |
| 2022 | CVPR | Total Variation Optimization Layers for Computer Vision. | Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing |
| 2021 | CVPR | SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. | Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing |
| 2021 | CVPR | SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. | Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing |
| 2021 | ICASSP | Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers. | Junzhe Zhu, Raymond A. Yeh, Mark Hasegawa-Johnson |
| 2021 | ICML | Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. | Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing |
| 2021 | IROS | Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. | Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing |
| 2019 | CoRL | PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. | Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing |
| 2019 | CVPR | Diverse Generation for Multi-Agent Sports Games. | Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy |
| 2019 | ICCV | Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. | Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogrio Schmidt Feris, Minh N. Do |
| 2018 | CVPR | Unsupervised Textual Grounding: Linking Words to Image Concepts. | Raymond A. Yeh, Minh N. Do, Alexander G. Schwing |
| 2018 | ICASSP | Time-Frequency Networks for Audio Super-Resolution. | Teck-Yian Lim, Raymond A. Yeh, Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson |
| 2018 | ICASSP | Image Restoration with Deep Generative Models. | Raymond A. Yeh, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do |
| 2017 | CVPR | Semantic Image Inpainting with Deep Generative Models. | Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do |
| 2017 | ICCV | Video Frame Synthesis Using Deep Voxel Flow. | Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala |
| 2016 | ICASSP | Stable and symmetric filter convolutional neural network. | Raymond A. Yeh, Mark Hasegawa-Johnson, Minh N. Do |