Yizhou Yu

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation CVPR 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025 SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks AAAI 2025 Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis ICCV 2025 OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels CVPR 2025 RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024 OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation CVPR 2024 Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation MICCAI 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining MICCAI 2024 Learning Domain-Agnostic Representation for Disease Diagnosis ICLR 2023 Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning ICLR 2023 Advancing Radiograph Representation Learning with Masked Record Modeling ICLR 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence CVPR 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023 RankDNN: Learning to Rank for Few-Shot Learning AAAI 2023 Geometry-Aware Network for Domain Adaptive Semantic Segmentation AAAI 2023 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 EGC: Image Generation and Classification via a Diffusion Energy-Based Model ICCV 2023 Neighborhood Collective Estimation for Noisy Label Identification and Correction ECCV 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022 A Causal Debiasing Framework for Unsupervised Salient Object Detection AAAI 2022 A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022 Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning CVPR 2022 Scale-Equivalent Distillation for Semi-Supervised Object Detection CVPR 2022 Compound Domain Generalization via Meta-Knowledge Encoding CVPR 2022 One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement ECCV 2022 Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels ECCV 2022 Disentangling Disease-related Representation from Obscure for Disease Prediction ICML 2022 Scene-Intuitive Agent for Remote Embodied Visual Grounding CVPR 2021 GraphFPN: Graph Feature Pyramid Network for Object Detection ICCV 2021 Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization CVPR 2021 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors CVPR 2021 Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation CVPR 2021 Bottom-Up Shift and Reasoning for Referring Image Segmentation CVPR 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection ICCV 2021 Multi-Scale Matching Networks for Semantic Correspondence ICCV 2021 ME-PCN: Point Completion Conditioned on Mask Emptiness ICCV 2021 Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts ICCV 2021 Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images CVPR 2021 Noise2Grad: Extract Image Noise to Denoise IJCAI 2021 Graph-Structured Referring Expression Reasoning in the Wild CVPR 2020 Propagating Over Phrase Relations for One-Stage Visual Grounding ECCV 2020 Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection CVPR 2020 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019 Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms CVPR 2019 Multi-Source Weak Supervision for Saliency Detection CVPR 2019 Cross-Modal Relationship Inference for Grounding Referring Expressions CVPR 2019 Transductive Zero-Shot Learning with Visual Structure Constraint NIPS 2019 Dynamic Graph Attention for Referring Expression Comprehension ICCV 2019 Motion Guided Attention for Video Salient Object Detection ICCV 2019 Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision ICCV 2019 Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up CVPR 2019 Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning CVPR 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields ECCV 2018 High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference ICCV 2017 Instance-Level Salient Object Segmentation CVPR 2017 Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning CVPR 2017 Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks IJCAI 2016 Deep Contrast Learning for Salient Object Detection CVPR 2016 Piecewise Flat Embedding for Image Segmentation ICCV 2015 Visual Saliency Based on Multiscale Deep Features CVPR 2015 HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition ICCV 2015 Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification ICCV 2015 SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013