Raymond A. Yeh

4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation CVPR 2026 Building Instance Segmentation for Dense Urban Settlements AAAI 2026 Designing to Forget: Deep Semi-parametric Models for Unlearning CVPR 2026 Tunable Soft Equivariance with Guarantees CVPR 2026 Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models AAAI 2026 CLIPSym: Delving into Symmetry Detection with CLIP ICCV 2025 Group Downsampling with Equivariant Anti-aliasing ICLR 2025 Heatmap Regression without Soft-Argmax for Facial Landmark Detection ICCV 2025 Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection CVPR 2025 Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer ICCV 2025 Model Immunization from a Condition Number Perspective ICML 2025 Multi-concept Model Immunization through Differentiable Model Merging AAAI 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024 IMMA: Immunizing text-to-image Models against Malicious Adaptation ECCV 2024 Learning to Obstruct Few-Shot Image Classification over Restricted Classes ECCV 2024 Making Vision Transformers Truly Shift-Equivariant CVPR 2024 Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention NeurIPS 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NeurIPS 2024 Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors ECCV 2024 Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation CVPR 2023 Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction ICML 2023 Tree Instance Segmentation With Temporal Contour Graph CVPR 2023 Truly Scale-Equivariant Deep Nets with Fourier Layers NeurIPS 2023 Equivariance Discovery by Learned Parameter-Sharing AISTATS 2022 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks NeurIPS 2022 Total Variation Optimization Layers for Computer Vision CVPR 2022 SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data CVPR 2021 Diverse Generation for Multi-Agent Sports Games CVPR 2019 Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection ICCV 2019 PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 Unsupervised Textual Grounding: Linking Words to Image Concepts CVPR 2018 Semantic Image Inpainting With Deep Generative Models CVPR 2017 Video Frame Synthesis Using Deep Voxel Flow ICCV 2017