papers

Publications (163)

cs.CV2023

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis

Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen +2

cs.CV2026

Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing

Meng Lou, Stanley Yu, Yizhou Yu

cs.CV2016

Visual Saliency Detection Based on Multiscale Deep CNN Features

Guanbin Li, Yizhou Yu

cs.CV2023

EGC: Image Generation and Classification via a Diffusion Energy-Based Model

Qiushan Guo, Chuofan Ma, Yi Jiang +3

cs.CV2023

I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation

Haoyu Ma, Xiangru Lin, Yizhou Yu

eess.IV2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Xinru Zhang, Chenghao Liu, Ni Ou +5

cs.CV2024

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Jichang Li, Guanbin Li, Hui Cheng +2

cs.CV2025

Vision Function Layer in Multimodal LLMs

Cheng Shi, Yizhou Yu, Sibei Yang

cs.CV2025

Autoregressive Sequence Modeling for 3D Medical Image Representation

Siwen Wang, Churan Wang, Fei Gao +4

cs.CV2025

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Meng Lou, Shu Zhang, Hong-Yu Zhou +3

eess.IV2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation

Gangming Zhao, Kongming Liang, Chengwei Pan +4

cs.CV2026

Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction

Hanzhong Guo, Yizhou Yu

cs.CV2018

Piecewise Flat Embedding for Image Segmentation

Chaowei Fang, Zicheng Liao, Yizhou Yu

cs.CV2018

ReCoNet: Real-time Coherent Video Style Transfer Network

Chang Gao, Derun Gu, Fangjun Zhang +1

q-bio.BM2017

Folding membrane proteins by deep transfer learning

Sheng Wang, Zhen Li, Yizhou Yu +1

cs.CV2020

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision

Liyan Sun, Jianxiong Wu, Xinghao Ding +3

eess.IV2021

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

Chenxin Li, Wenao Ma, Liyan Sun +4

cs.CV2022

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts

Hong-Yu Zhou, Chixiang Lu, Sibei Yang +2

eess.IV2022

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang +3

cs.CV2019

Self-Enhanced Convolutional Network for Facial Video Hallucination

Chaowei Fang, Guanbin Li, Xiaoguang Han +1

cs.CV2026

CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection

Boyang Dai, Zeng Fan, Zihao Qi +2

cs.CV2018

Neural Style Transfer: A Review

Yongcheng Jing, Yezhou Yang, Zunlei Feng +3

cs.CV2018

Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

Lingbo Liu, Guanbin Li, Yuan Xie +3

cs.CV2021

Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization

Haoyu Ma, Xiangru Lin, Zifeng Wu +1

cs.CV2020

When Relation Networks meet GANs: Relation GANs with Triplet Loss

Runmin Wu, Kunyao Zhang, Lijun Wang +4

cs.LG2020

Kernel Quantization for Efficient Network Compression

Zhongzhi Yu, Yemin Shi, Tiejun Huang +1

cs.GR2013

Medial Meshes for Volume Approximation

Feng Sun, Yi-King Choi, Yizhou Yu +1

cs.CV2022

BOAT: Bilateral Local Attention Vision Transformer

Tan Yu, Gangming Zhao, Ping Li +1

cs.CV2021

Multi-scale Matching Networks for Semantic Correspondence

Dongyang Zhao, Ziyang Song, Zhenghao Ji +3

eess.IV2020

ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

Jingyu Liu, Jie Lian, Yizhou Yu

cs.CV2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

Chaoqi Chen, Luyao Tang, Feng Liu +3

cs.GR2017

DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling

Xiaoguang Han, Chang Gao, Yizhou Yu

cs.CV2020

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

Liyan Sun, Chenxin Li, Xinghao Ding +3

cs.HC2014

Speaker-following Video Subtitles

Yongtao Hu, Jan Kautz, Yizhou Yu +1

cs.CV2021

Scene-Intuitive Agent for Remote Embodied Visual Grounding

Xiangru Lin, Guanbin Li, Yizhou Yu

eess.IV2020

Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

Shen Wang, Kongming Liang, Chengwei Pan +5

cs.CV2019

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

Huikai Wu, Junge Zhang, Kaiqi Huang +2

cs.CV2019

Dynamic Graph Attention for Referring Expression Comprehension

Sibei Yang, Guanbin Li, Yizhou Yu

eess.IV2020

Adaptive noise imitation for image denoising

Huangxing Lin, Yihong Zhuang, Yue Huang +4

cs.CV2024

Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation

Jichang Li, Guanbin Li, Yizhou Yu

cs.CV2020

Online Alternate Generator against Adversarial Attacks

Haofeng Li, Yirui Zeng, Guanbin Li +2

cs.CV2016

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation

Zhicheng Yan, Hao Zhang, Yangqing Jia +2

eess.IV2022

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Shu Zhang, Zihao Li, Hong-Yu Zhou +2

eess.IV2023

B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation

Hao Wang, Qiang Song, Ruofeng Yin +3

cs.CV2022

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Yinghong Liao, Wending Zhou, Xu Yan +3

cs.CV2022

Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection

Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou +4

cs.CV2016

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Zhen Li, Yukang Gan, Xiaodan Liang +3

cs.CV2018

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks

Yujing Sun, Yizhou Yu, Wenping Wang

eess.IV2019

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Chaowei Fang, Guanbin Li, Chengwei Pan +2

cs.CV2024

Real-time One-Step Diffusion-based Expressive Portrait Videos Generation

Hanzhong Guo, Hongwei Yi, Daquan Zhou +3

cs.CV2015

Visual Saliency Based on Multiscale Deep Features

Guanbin Li, Yizhou Yu

cs.CV2021

SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation

Hong-Yu Zhou, Chengdi Wang, Haofeng Li +4

cs.CV2021

ConvNets vs. Transformers: Whose Visual Representations are More Transferable?

Hong-Yu Zhou, Chixiang Lu, Sibei Yang +1

cs.CV2017

Context-Aware Semantic Inpainting

Haofeng Li, Guanbin Li, Liang Lin +1

cs.CV2018

CaricatureShop: Personalized and Photorealistic Caricature Sketching

Xiaoguang Han, Kangcheng Hou, Dong Du +4

eess.IV2024

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Jiarun Liu, Hao Yang, Hong-Yu Zhou +8

cs.CV2020

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation

Shen Wang, Kongming Liang, Yiming Li +2

eess.IV2020

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

Jie Lian, Jingyu Liu, Yizhou Yu +9

cs.CV2019

Motion Guided Attention for Video Salient Object Detection

Haofeng Li, Guanqi Chen, Guanbin Li +1

cs.CV2024

Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Fei Gao, Siwen Wang, Fandong Zhang +5

q-bio.BM2017

Predicting membrane protein contacts from non-membrane proteins by deep transfer learning

Zhen Li, Sheng Wang, Yizhou Yu +1

cs.MM2021

Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering

Haifan Gong, Guanqi Chen, Sishuo Liu +2

cs.CV2022

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images

Baolian Qi, Gangming Zhao, Xin Wei +4

eess.IV2022

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture

Jiansen Guo, Hong-Yu Zhou, Liansheng Wang +1

cs.CV2022

RankDNN: Learning to Rank for Few-shot Learning

Qianyu Guo, Hongtong Gong, Xujun Wei +4

eess.IV2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Dingwen Zhang, Guohai Huang, Qiang Zhang +3

cs.AI2025

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Yuanchen Bei, Weizhi Zhang, Siwen Wang +10

cs.CV2015

Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification

Ruobing Wu, Baoyuan Wang, Wenping Wang +1

cs.LG2026

Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts

Meng Lou, Yunxiang Fu, Yizhou Yu

cs.CV2023

Adaptive Context Selection for Polyp Segmentation

Ruifei Zhang, Guanbin Li, Zhen Li +3

cs.CV2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Yongcheng Jing, Yang Liu, Yezhou Yang +4

cs.CV2026

Vision Transformers Need More Than Registers

Cheng Shi, Yizhou Yu, Sibei Yang

cs.CV2020

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Chu-ran Wang, Jing Li, Fandong Zhang +4

cs.CV2026

Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis

Boyang Dai, Chaoqi Chen, Yizhou Yu

cs.CV2019

ROSA: Robust Salient Object Detection against Adversarial Attacks

Haofeng Li, Guanbin Li, Yizhou Yu

cs.CV2017

Instance-Level Salient Object Segmentation

Guanbin Li, Yuan Xie, Liang Lin +1

cs.CV2017

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Weifeng Ge, Yizhou Yu

cs.CV2019

A Benchmark for Edge-Preserving Image Smoothing

Feida Zhu, Zhetong Liang, Xixi Jia +2

cs.CV2023

Activate and Reject: Towards Safe Domain Generalization under Category Shift

Chaoqi Chen, Luyao Tang, Leitian Tao +4

cs.CV2023

SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling

Zhongjin Luo, Dong Du, Heming Zhu +3

cs.CV2026

Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning

Meng Lou, Hanzhong Guo, Linwei Chen +1

cs.LG2023

Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin +1

cs.CV2024

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

Chaoqi Chen, Yushuang Wu, Qiyuan Dai +5

cs.CV2024

Inter-Domain Mixup for Semi-Supervised Domain Adaptation

Jichang Li, Guanbin Li, Yizhou Yu

cs.CV2020

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread

Haofeng Li, Guanbin Li, Binbin Yang +3

cs.CV2015

HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition

Zhicheng Yan, Hao Zhang, Robinson Piramuthu +4

eess.IV2020

Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

Yicheng Wu, Chengwei Pan, Shuqi Wang +3

cs.CV2016

Deep Contrast Learning for Salient Object Detection

Guanbin Li, Yizhou Yu

cs.CV2020

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan, Dongdong Chen, Yan Li +4

cs.CV2022

Compound Domain Generalization via Meta-Knowledge Encoding

Chaoqi Chen, Jiongcheng Li, Xiaoguang Han +2

cs.CV2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

Shu Zhang, Jincheng Xu, Yu-Chun Chen +4

cs.CV2024

Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models

Chenyu Lian, Hong-Yu Zhou, Yizhou Yu +1

cs.CV2026

DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial

Zhenchen Zhu, Ge Hu, Weixiong Tan +16

cs.CV2023

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

Ganlong Zhao, Guanbin Li, Yipeng Qin +5

cs.CV2023

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Hong-Yu Zhou, Yizhou Yu, Chengdi Wang +7

eess.IV2021

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images

Kongming Liang, Kai Han, Xiuli Li +4

cs.CV2025

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation

Yunxiang Fu, Meng Lou, Yizhou Yu

cs.CV2021

Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images

Haolin Liu, Anran Lin, Xiaoguang Han +3

cs.CV2019

MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection

Zihao Li, Shu Zhang, Junge Zhang +3

cs.CV2018

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Weifeng Ge, Sibei Yang, Yizhou Yu