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← Authors

Raymond A. Yeh

31 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (56)
πŸ—ΊοΈ Taxonomy Completionist (56) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (135) ⚑ Prolific Year (7)

Conferences

CVPR (10) ICCV (6) NIPS (4) AAAI (3) ECCV (3) ICML (2) AISTATS (1) CORL (1) ICLR (1)

Top co-authors

Alexander G. Schwing (6) Chiao-An Yang (5) Md Ashiqur Rahman (5) Amber Yijia Zheng (4) Minh N. Do (4) Yuan-Ting Hu (4) Teck-Yian Lim (3) Bedrich Benes (3) Renan A. Rojas-Gomez (2) Alex Schwing (2)

Keywords

image classification (4) object detection (3) generative model (3) unsupervised learning (2) convolutional neural network (2) semantic segmentation (2) video understanding (2) 3d vision (2) diffusion model (2) graph neural network (2) instance segmentation (2) temporal modeling (1) action recognition (1) online learning (1) few-shot learning (1) 3d reconstruction (1) representation learning (1) feature learning (1) structured prediction (1) vision transformer (1)

Papers

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