Yuyin Zhou

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study CVPR 2026 Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation CVPR 2026 Omni-MMSI: Toward Identity-attributed Social Interaction Understanding CVPR 2026 OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning CVPR 2026 VecGlypher: Unified Vector Glyph Generation with Language Models CVPR 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 Generative Image Layer Decomposition with Visual Effects CVPR 2025 Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays MICCAI 2025 HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing ICLR 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs ICCV 2025 MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine ICLR 2025 Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More ICML 2025 What If We Recaption Billions of Web Images with LLaMA-3? ICML 2025 A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties ECCV 2024 DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor NeurIPS 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections CVPR 2024 Scaling White-Box Transformers for Vision NeurIPS 2024 Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training CVPR 2024 Tackling Data Heterogeneity in Federated Learning via Loss Decomposition MICCAI 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Can CNNs Be More Robust Than Transformers? ICLR 2023 Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023 A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022 CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 2022 In Defense of Image Pre-training for Spatiotemporal Recognition ECCV 2022 Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NeurIPS 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks AAAI 2021 Deep Distance Transform for Tubular Structure Segmentation in CT Scans CVPR 2020 Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020 Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020 Universal Physical Camouflage Attacks on Object Detectors CVPR 2020 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019 Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation CVPR 2018 Adversarial Examples for Semantic Segmentation and Object Detection ICCV 2017