← Authors

Yizhou Yu

66 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (6) πŸ—ΊοΈ Taxonomy Completionist (97) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏠 Conference Loyalist (27) 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ† Keyword Champion (5) πŸ—ƒοΈ Keyword Collector (268) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ⚑ Prolific Year (9) πŸ’Ž Century Club (66)

Conferences

CVPR (27) ICCV (15) AAAI (8) ECCV (5) ICLR (3) NIPS (3) IJCAI (2) MICCAI (2) ICML (1)

Top co-authors

Guanbin Li (19) Yizhou Wang (8) Sibei Yang (8) Weifeng Ge (8) Hong-Yu Zhou (8) Xiaoguang Han (7) Chaoqi Chen (6) Fandong Zhang (6) Yue Huang (6) Xiangru Lin (5)

Keywords

convolutional neural network (11) object detection (9) domain adaptation (7) feature extraction (5) referring expression (5) representation learning (5) semantic segmentation (5) self-supervised learning (4) attention mechanism (4) domain generalization (4) salient object detection (3) unsupervised learning (3) contrastive learning (3) pseudo label (3) visual reasoning (3) feature alignment (3) medical imaging (3) weakly supervised learning (3) saliency detection (3) multi-scale feature (3)

Papers

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