Yizhou Yu

439 papers A* 63A 1B 11Misc 7Journal 292Unranked 63
YearRankTypeTitle / Venue / Authors
2026 J jnl
CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection.
CoRR
Boyang Dai, Zeng Fan, Zihao Qi, Meng Lou, Yizhou Yu
2026 J jnl
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.
CoRR
Zhenchen Zhu, Ge Hu, Weixiong Tan, Kai Gao, Chao Sun, Zhen Zhou, Kepei Xu, Wei Han, Meixia Shang, Xiaoming Qiu, Yiqing Tan, Jinhua Wang, Zhoumeng Ying, Li Peng, Wei Song, Lan Song, Zhengyu Jin, Nan Hong, Yizhou Yu
2026 J jnl
LDRNet: Large Deformation Registration Model for Chest CT Registration.
CoRR
Cheng Wang, Qiyu Gao, Fandong Zhang, Shu Zhang, Yizhou Yu
2026 J jnl
NavGemini: a multi-modal LLM agent for vision-and-language navigation.
Vis. Intell.
Ganlong Zhao, Guanbin Li, Yizhou Yu
2026 J jnl
Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing.
CoRR
Meng Lou, Stanley Yu, Yizhou Yu
2026 J jnl
Scaling Continual Learning with Bi-Level Routing Mixture-of-Experts.
CoRR
Meng Lou, Yunxiang Fu, Yizhou Yu
2026 J jnl
Vision Transformers Need More Than Registers.
CoRR
Cheng Shi, Yizhou Yu, Sibei Yang
2025 J jnl
A2Mamba: Attention-augmented State Space Models for Visual Recognition.
CoRR
Meng Lou, Yunxiang Fu, Yizhou Yu
2025 — conf
Accurate Coronary Microvascular Segmentation with Parallel Local-Global Chains.
BIBM
Yaling Tao, Yanwu Xu, Yizhou Yu, Jinpeng Li
2025 J jnl
Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction.
CoRR
Ganlong Zhao, Guanbin Li, Jia Pan, Yizhou Yu
2025 A* conf
Autoregressive Sequence Modeling for 3D Medical Image Representation.
AAAI
Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu
2025 J jnl
Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities.
CoRR
Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, Jiajun Bu, Shirui Pan, Yizhou Yu, Irwin King, Fakhri Karray, Philip S. Yu
2025 A* conf
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels.
CVPR
Meng Lou, Yizhou Yu
2025 J jnl
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels.
CoRR
Meng Lou, Yizhou Yu
2025 J jnl
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis.
CoRR
Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu
2025 J jnl
SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging.
Neural Networks
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu
2025 A* conf
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation.
CVPR
Yunxiang Fu, Meng Lou, Yizhou Yu
2025 A* conf
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks.
AAAI
Meng Lou, Yunxiang Fu, Yizhou Yu
2025 J jnl
SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis.
CoRR
Peng Zheng, Linzhi Huang, Yizhou Yu, Yi Chang, Yilin Wang, Rui Ma
2025 J jnl
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2025 J jnl
TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu
2025 J jnl
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning.
CoRR
Zhangyang Qi, Zhixiong Zhang, Yizhou Yu, Jiaqi Wang, Hengshuang Zhao
2025 J jnl
Vision Function Layer in Multimodal LLMs.
CoRR
Cheng Shi, Yizhou Yu, Sibei Yang
2024 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2024 J jnl
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation.
CoRR
Jichang Li, Guanbin Li, Yizhou Yu
2024 J jnl
Autoregressive Sequence Modeling for 3D Medical Image Representation.
CoRR
Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu
2024 J jnl
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation".
IEEE Trans. Medical Imaging
Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu
2024 J jnl
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation.
CoRR
Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu
2024 — conf
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation.
MICCAI (11)
Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu
2024 J jnl
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance.
J. Imaging Inform. Medicine
Lili Guo, Changsheng Zhou, Jingxu Xu, Chencui Huang, Yizhou Yu, Guangming Lu
2024 J jnl
DreamDA: Generative Data Augmentation with Diffusion Models.
CoRR
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
2024 J jnl
Enhanced MRI Representation via Cross-series Masking.
CoRR
Churan Wang, Fei Gao, Lijun Yan, Siwen Wang, Yizhou Yu, Yizhou Wang
2024 J jnl
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning.
Int. J. Comput. Vis.
Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu
2024 A* conf
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels.
AAAI
Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu
2024 J jnl
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Haoyu Ma, Xiangru Lin, Yizhou Yu
2024 J jnl
Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data.
Health Informatics J.
Jingna Xie, Yingshuo Wang, Qiuyang Sheng, Xiaoqing Liu, Jing Li, Fenglei Sun, Yuqi Wang, Shuxian Li, Yiming Li, Yizhou Yu, Gang Yu
2024 J jnl
Inter-Domain Mixup for Semi-Supervised Domain Adaptation.
CoRR
Jichang Li, Guanbin Li, Yizhou Yu
2024 J jnl
Inter-domain mixup for semi-supervised domain adaptation.
Pattern Recognit.
Jichang Li, Guanbin Li, Yizhou Yu
2024 J jnl
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba.
CoRR
Yunxiang Fu, Chaoqi Chen, Yizhou Yu
2024 J jnl
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models.
CoRR
Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang
2024 J jnl
Leveraging Frequency Domain Learning in 3D Vessel Segmentation.
CoRR
Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
2024 J jnl
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions.
IEEE Trans. Neural Networks Learn. Syst.
Penghua Zhai, Huaiwei Cong, Enwei Zhu, Gangming Zhao, Yizhou Yu, Jinpeng Li
2024 A* conf
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation.
CVPR
Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
2024 J jnl
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation.
CoRR
Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
2024 J jnl
Progressive Conservative Adaptation for Evolving Target Domains.
CoRR
Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu
2024 J jnl
Real-time One-Step Diffusion-based Expressive Portrait Videos Generation.
CoRR
Hanzhong Guo, Hongwei Yi, Daquan Zhou, Alexander William Bergman, Michael Lingelbach, Yizhou Yu
2024 A* conf
RegionGPT: Towards Region Understanding Vision Language Model.
CVPR
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
2024 J jnl
RegionGPT: Towards Region Understanding Vision Language Model.
CoRR
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
2024 J jnl
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging.
CoRR
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu
2024 J jnl
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation.
CoRR
Yunxiang Fu, Meng Lou, Yizhou Yu
2024 J jnl
SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling.
IEEE Trans. Vis. Comput. Graph.
Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han
2024 J jnl
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks.
CoRR
Meng Lou, Yunxiang Fu, Yizhou Yu
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Uncertainty Estimation of Large Language Models in Medical Question Answering.
CoRR
Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou
2024 J jnl
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features.
CoRR
Xin Wei, Yaling Tao, Changde Du, Gangming Zhao, Yizhou Yu, Jinpeng Li
2023 J jnl
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images.
IEEE J. Biomed. Health Informatics
Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu
2023 J jnl
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li
2023 J jnl
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 J jnl
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors.
Int. J. Comput. Assist. Radiol. Surg.
Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang
2023 A* conf
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
ICCV
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
CoRR
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation.
IEEE Trans. Image Process.
Jichang Li, Guanbin Li, Yizhou Yu
2023 J jnl
Adaptive Context Selection for Polyp Segmentation.
CoRR
Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu
2023 J jnl
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
2023 A* conf
Advancing Radiograph Representation Learning with Masked Record Modeling.
ICLR
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
2023 J jnl
Advancing Radiograph Representation Learning with Masked Record Modeling.
CoRR
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
2023 J jnl
B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation.
CoRR
Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma, Yizhou Yu, Yi Chang
2023 A* conf
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation.
NeurIPS
Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye
2023 A* conf
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography.
ACM Multimedia
Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li
2023 A* conf
EGC: Image Generation and Classification via a Diffusion Energy-Based Model.
ICCV
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
2023 J jnl
EGC: Image Generation and Classification via a Diffusion Energy-Based Model.
CoRR
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
2023 J jnl
EMS: 3D Eyebrow Modeling from Single-View Images.
ACM Trans. Graph.
Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han
2023 J jnl
EMS: 3D Eyebrow Modeling from Single-view Images.
CoRR
Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han
2023 J jnl
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu
2023 J jnl
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels.
CoRR
Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu
2023 A* conf
Geometry-Aware Network for Domain Adaptive Semantic Segmentation.
AAAI
Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui
2023 J jnl
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis.
CoRR
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
2023 J jnl
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.
CoRR
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023 J jnl
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
IEEE Trans. Medical Imaging
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023 J jnl
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation.
CoRR
Haoyu Ma, Xiangru Lin, Yizhou Yu
2023 A* conf
Improved Distribution Matching for Dataset Condensation.
CVPR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
2023 J jnl
Improved Distribution Matching for Dataset Condensation.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
2023 A* conf
Learning Domain-Agnostic Representation for Disease Diagnosis.
ICLR
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2023 — conf
Leveraging Frequency Domain Learning in 3D Vessel Segmentation.
BIBM
Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
2023 A* conf
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence.
CVPR
Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang
2023 J jnl
Multi-Level Contrastive Learning for Dense Prediction Task.
CoRR
Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo
2023 J jnl
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.
CoRR
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 J jnl
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling.
CoRR
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
2023 A* conf
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning.
ICLR
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
2023 A* conf
RankDNN: Learning to Rank for Few-Shot Learning.
AAAI
Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge
2023 J jnl
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2023 — conf
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer.
BIBM
Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu
2023 J jnl
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation.
CoRR
Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li
2023 J jnl
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling.
CoRR
Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han
2023 J jnl
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition.
CoRR
Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu
2023 J jnl
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.
Medical Image Anal.
Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu
2023 J jnl
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer.
IEEE Trans. Image Process.
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu
2022 J jnl
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.
IEEE J. Biomed. Health Informatics
Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, Lisheng Wang
2022 A* conf
A Causal Debiasing Framework for Unsupervised Salient Object Detection.
AAAI
Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu
2022 A* conf
A Causal Inference Look at Unsupervised Video Anomaly Detection.
AAAI
Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu
2022 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
CoRR
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2022 J jnl
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans.
Neural Comput. Appl.
Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu
2022 J jnl
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2022 J jnl
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training.
CoRR
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
2022 A* conf
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.
CVPR
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022 J jnl
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.
CoRR
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022 A conf
BOAT: Bilateral Local Attention Vision Transformer.
BMVC
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
2022 J jnl
BOAT: Bilateral Local Attention Vision Transformer.
CoRR
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
2022 — conf
Causal associations between neuroinflammation and Alzheimer's disease risk.
ICBBS
Kehan Lin, Yizhou Yu
2022 — conf
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.
ECCV (25)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
2022 J jnl
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
2022 A* conf
Compound Domain Generalization via Meta-Knowledge Encoding.
CVPR
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
2022 J jnl
Compound Domain Generalization via Meta-Knowledge Encoding.
CoRR
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
2022 — conf
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.
MICCAI (1)
Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu
2022 J jnl
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.
CoRR
Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu
2022 J jnl
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation.
CoRR
Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu
2022 J jnl
Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.
Comput. Methods Programs Biomed.
Jianwei Xu, Qingwei Zhang, Yizhou Yu, Ran Zhao, Xianzhang Bian, Xiaoqing Liu, Jun Wang, Zhizheng Ge, Dahong Qian
2022 J jnl
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine
Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li
2022 J jnl
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
CoRR
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
2022 J jnl
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell.
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
2022 A* conf
Disentangling Disease-related Representation from Obscure for Disease Prediction.
ICML
Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang
2022 J jnl
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.
CoRR
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2022 J jnl
Domain generalization on medical imaging classification using episodic training with task augmentation.
Comput. Biol. Medicine
Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
2022 J jnl
Few-shot medical image segmentation using a global correlation network with discriminative embedding.
Comput. Biol. Medicine
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley
2022 J jnl
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.
IEEE J. Biomed. Health Informatics
Baolian Qi, Gangming Zhao, Xin Wei, Changde Du, Chengwei Pan, Yizhou Yu, Jinpeng Li
2022 J jnl
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports.
Nat. Mach. Intell.
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
2022 J jnl
Geometry-Aware Network for Domain Adaptive Semantic Segmentation.
CoRR
Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li
2022 J jnl
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis.
IEEE Trans. Medical Imaging
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
2022 J jnl
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis.
IEEE Trans. Medical Imaging
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
2022 J jnl
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis.
CoRR
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
2022 J jnl
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation.
Neural Comput. Appl.
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
2022 J jnl
M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention.
Medical Image Anal.
Taiping Qu, Xiheng Wang, Chaowei Fang, Li Mao, Juan Li, Ping Li, Jinrong Qu, Xiuli Li, Huadan Xue, Yizhou Yu, Zhengyu Jin
2022 J jnl
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images.
Medical Image Anal.
Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu
2022 A* conf
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
NeurIPS
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
2022 J jnl
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
CoRR
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
2022 — conf
Neighborhood Collective Estimation for Noisy Label Identification and Correction.
ECCV (24)
Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
2022 J jnl
Neighborhood Collective Estimation for Noisy Label Identification and Correction.
CoRR
Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
2022 — conf
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement.
ECCV (21)
Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
2022 J jnl
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement.
CoRR
Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
2022 J jnl
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds.
CoRR
Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Yizhou Yu, Xiaoguang Han, Shuguang Cui
2022 J jnl
RankDNN: Learning to Rank for Few-shot Learning.
CoRR
Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022 J jnl
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit.
CoRR
Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian
2022 J jnl
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection.
CoRR
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2022 J jnl
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network.
IEEE Trans. Vis. Comput. Graph.
Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu
2022 A* conf
Scale-Equivalent Distillation for Semi-Supervised Object Detection.
CVPR
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
2022 J jnl
Scale-Equivalent Distillation for Semi-Supervised Object Detection.
CoRR
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
2022 J jnl
Structure-aware Meta-fusion for Image Super-resolution.
ACM Trans. Multim. Comput. Commun. Appl.
Haoyu Ma, Bingchen Gong, Yizhou Yu
2022 — conf
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
MICAD
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu
2022 J jnl
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
CoRR
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu
2021 J jnl
A Nonintrusive Elderly Home Monitoring System.
IEEE Internet Things J.
Le Fang, Yu Wu, Chuan Wu, Yizhou Yu
2021 J jnl
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation.
CoRR
Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu
2021 J jnl
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation.
IEEE Trans. Medical Imaging
Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu
2021 J jnl
AI-based analysis of CT images for rapid triage of COVID-19 patients.
npj Digit. Medicine
Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu
2021 J jnl
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection.
CoRR
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2021 J jnl
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.
IEEE Trans. Image Process.
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2021 A* conf
Bottom-Up Shift and Reasoning for Referring Image Segmentation.
CVPR
Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu
2021 — conf
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction.
MICCAI (5)
Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
2021 B conf
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
ICIP
Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu
2021 — conf
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
MICCAI (1)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021 J jnl
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
CoRR
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021 A* conf
Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization.
CVPR
Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu
2021 J jnl
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization.
CoRR
Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu
2021 J jnl
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net.
Medical Image Anal.
Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu
2021 J jnl
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition.
CoRR
Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021 J jnl
Contralaterally Enhanced Networks for Thoracic Disease Detection.
IEEE Trans. Medical Imaging
Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu
2021 — conf
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
ICCVW
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
2021 J jnl
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
CoRR
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
2021 A* conf
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation.
CVPR
Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu
2021 J jnl
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation.
CoRR
Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu
2021 B conf
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering.
ICMR
Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li
2021 J jnl
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering.
CoRR
Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li
2021 J jnl
Cross-modality deep feature learning for brain tumor segmentation.
Pattern Recognit.
Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu
2021 J jnl
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images.
IEEE J. Biomed. Health Informatics
Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
2021 — conf
DAE-GCN: Identifying Disease-Related Features for Disease Prediction.
MICCAI (5)
Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021 J jnl
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.
IEEE Trans. Cybern.
Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu
2021 J jnl
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation.
CoRR
Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
2021 A* conf
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection.
ICCV
Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2021 — conf
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction.
MICCAI (6)
Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu
2021 — conf
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
IPMI
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation.
CoRR
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports.
CoRR
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
2021 — conf
Generator Versus Segmentor: Pseudo-healthy Synthesis.
MICCAI (6)
Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
2021 A* conf
GraphFPN: Graph Feature Pyramid Network for Object Detection.
ICCV
Gangming Zhao, Weifeng Ge, Yizhou Yu
2021 J jnl
GraphFPN: Graph Feature Pyramid Network for Object Detection.
CoRR
Gangming Zhao, Weifeng Ge, Yizhou Yu
2021 J jnl
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation.
CoRR
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
2021 A* conf
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.
CVPR
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2021 J jnl
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.
CoRR
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2021 J jnl
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System.
CoRR
Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2021 J jnl
Identification of pediatric respiratory diseases using a fine-grained diagnosis system.
J. Biomed. Informatics
Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2021 — conf
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.
MICCAI (1)
Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
2021 J jnl
Instance-level salient object segmentation.
Comput. Vis. Image Underst.
Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu
2021 J jnl
Learning Part Generation and Assembly for Sketching Man-Made Objects.
Comput. Graph. Forum
Dong Du, Heming Zhu, Yinyu Nie, Xiaoguang Han, Shuguang Cui, Yizhou Yu, Ligang Liu
2021 A* conf
ME-PCN: Point Completion Conditioned on Mask Emptiness.
ICCV
Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu
2021 J jnl
ME-PCN: Point Completion Conditioned on Mask Emptiness.
CoRR
Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu
2021 — conf
Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior.
ISBI
Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li
2021 A* conf
Multi-scale Matching Networks for Semantic Correspondence.
ICCV
Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
2021 J jnl
Multi-scale Matching Networks for Semantic Correspondence.
CoRR
Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
2021 A* conf
Noise2Grad: Extract Image Noise to Denoise.
IJCAI
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
2021 A* conf
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts.
ICCV
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2021 J jnl
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts.
CoRR
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2021 J jnl
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit.
Biomed. Signal Process. Control.
Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian
2021 A* conf
Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images.
CVPR
Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui
2021 J jnl
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images.
CoRR
Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui
2021 J jnl
Relationship-Embedded Representation Learning for Grounding Referring Expressions.
IEEE Trans. Pattern Anal. Mach. Intell.
Sibei Yang, Guanbin Li, Yizhou Yu
2021 J jnl
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation.
CoRR
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
2021 J jnl
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal.
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
2021 A* conf
Scene-Intuitive Agent for Remote Embodied Visual Grounding.
CVPR
Xiangru Lin, Guanbin Li, Yizhou Yu
2021 J jnl
Scene-Intuitive Agent for Remote Embodied Visual Grounding.
CoRR
Xiangru Lin, Guanbin Li, Yizhou Yu
2021 — conf
Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation.
MICCAI (2)
Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li
2021 J jnl
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images.
CoRR
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
2021 — conf
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images.
MICCAI (7)
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
2021 J jnl
nnFormer: Interleaved Transformer for Volumetric Segmentation.
CoRR
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
2020 J jnl
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision.
CoRR
Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
2020 — conf
Adaptive Context Selection for Polyp Segmentation.
MICCAI (6)
Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu
2020 J jnl
Adaptive noise imitation for image denoising.
CoRR
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley
2020 B conf
An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images.
ICIP
Shukai Wu, Lifeng Yan, Xiaoqing Liu, Yizhou Yu, Sanyuan Zhang
2020 — conf
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification.
MICCAI (2)
Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang
2020 J jnl
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.
CoRR
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2020 J jnl
CaricatureShop: Personalized and Photorealistic Caricature Sketching.
IEEE Trans. Vis. Comput. Graph.
Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Shuguang Cui, Kun Zhou, Yizhou Yu
2020 J jnl
ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities.
CoRR
Jingyu Liu, Jie Lian, Yizhou Yu
2020 — conf
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.
MICCAI (7)
Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
2020 J jnl
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.
CoRR
Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
2020 J jnl
Contralaterally Enhanced Networks for Thoracic Disease Detection.
CoRR
Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu
2020 A* conf
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection.
CVPR
Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu
2020 J jnl
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread.
CoRR
Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu
2020 J jnl
EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection.
Int. J. Comput. Vis.
Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu, Yizhou Yu
2020 — conf
Evaluating Multi-Class Segmentation Errors with Anatomical Priors.
ISBI
Xiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao
2020 J jnl
Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images.
IEEE Trans. Image Process.
Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Wang, Yizhou Yu
2020 J jnl
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding.
CoRR
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
2020 J jnl
Generator Versus Segmentor: Pseudo-healthy Synthesis.
CoRR
Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
2020 J jnl
Graph-Structured Referring Expression Reasoning in The Wild.
CoRR
Sibei Yang, Guanbin Li, Yizhou Yu
2020 A* conf
Graph-Structured Referring Expression Reasoning in the Wild.
CVPR
Sibei Yang, Guanbin Li, Yizhou Yu
2020 J jnl
Kernel Quantization for Efficient Network Compression.
CoRR
Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu
2020 — conf
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
MICCAI (6)
Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu
2020 J jnl
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
CoRR
Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu
2020 — conf
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction.
MICCAI (6)
Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang
2020 J jnl
Neural Style Transfer: A Review.
IEEE Trans. Vis. Comput. Graph.
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song
2020 J jnl
Online Alternate Generator Against Adversarial Attacks.
IEEE Trans. Image Process.
Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu
2020 J jnl
Online Alternate Generator against Adversarial Attacks.
CoRR
Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu
2020 — conf
Propagating Over Phrase Relations for One-Stage Visual Grounding.
ECCV (19)
Sibei Yang, Guanbin Li, Yizhou Yu
2020 J jnl
ROSA: Robust Salient Object Detection Against Adversarial Attacks.
IEEE Trans. Cybern.
Haofeng Li, Guanbin Li, Yizhou Yu
2020 J jnl
Residual Learning for Salient Object Detection.
IEEE Trans. Image Process.
Mengyang Feng, Huchuan Lu, Yizhou Yu
2020 J jnl
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR
Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu
2020 — conf
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
MICCAI (4)
Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu
2020 J jnl
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
CoRR
Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu
2020 — conf
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.
ISBI
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020 J jnl
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation.
CoRR
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020 J jnl
Self-Enhanced Convolutional Network for Facial Video Hallucination.
IEEE Trans. Image Process.
Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu
2020 J jnl
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results.
CoRR
Jie Lian, Jingyu Liu, Yizhou Yu, Mengyuan Ding, Yaoci Lu, Yi Lu, Jie Cai, Deshou Lin, Miao Zhang, Zhe Wang, Kai He, Yijie Yu
2020 — conf
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity.
MICCAI (6)
Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu
2020 J jnl
When Relation Networks meet GANs: Relation GANs with Triplet Loss.
CoRR
Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Huchuan Lu, Yizhou Yu
2019 J jnl
A Benchmark for Edge-Preserving Image Smoothing.
CoRR
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
2019 J jnl
A Benchmark for Edge-Preserving Image Smoothing.
IEEE Trans. Image Process.
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
2019 A* conf
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.
ICCV
Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu
2019 J jnl
Automatic Color Sketch Generation Using Deep Style Transfer.
IEEE Computer Graphics and Applications
Wei Zhang, Guanbin Li, Haoyu Ma, Yizhou Yu
2019 A* conf
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.
CVPR
Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang
2019 J jnl
Context-Aware Semantic Inpainting.
IEEE Trans. Cybern.
Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu
2019 A* conf
Cross-Modal Relationship Inference for Grounding Referring Expressions.
CVPR
Sibei Yang, Guanbin Li, Yizhou Yu
2019 J jnl
Cross-Modal Relationship Inference for Grounding Referring Expressions.
CoRR
Sibei Yang, Guanbin Li, Yizhou Yu
2019 A* conf
Dynamic Graph Attention for Referring Expression Comprehension.
ICCV
Sibei Yang, Guanbin Li, Yizhou Yu
2019 J jnl
Dynamic Graph Attention for Referring Expression Comprehension.
CoRR
Sibei Yang, Guanbin Li, Yizhou Yu
2019 J jnl
Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning.
IEEE Trans. Multim.
Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin
2019 J jnl
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
CoRR
Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
2019 — conf
From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network.
MICCAI (6)
Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu
2019 — conf
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation.
MICCAI (2)
Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu
2019 J jnl
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation.
CoRR
Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu
2019 — conf
Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images.
MICCAI (6)
Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang
2019 J jnl
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment.
CoRR
Kan Wu, Guanbin Li, Haofeng Li, Jian-Jun Zhang, Yizhou Yu
2019 J jnl
Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment.
ACM Trans. Multim. Comput. Commun. Appl.
Kan Wu, Guanbin Li, Haofeng Li, Jian-Jun Zhang, Yizhou Yu
2019 — conf
MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection.
MICCAI (6)
Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
2019 J jnl
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection.
CoRR
Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
2019 A* conf
Motion Guided Attention for Video Salient Object Detection.
ICCV
Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu
2019 J jnl
Motion Guided Attention for Video Salient Object Detection.
CoRR
Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu
2019 A* conf
Multi-Source Weak Supervision for Saliency Detection.
CVPR
Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu
2019 J jnl
Multi-source weak supervision for saliency detection.
CoRR
Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu
2019 A* conf
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks.
AAAI
Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu
2019 J jnl
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks.
CoRR
Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu
2019 J jnl
Piecewise Flat Embedding for Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaowei Fang, Zicheng Liao, Yizhou Yu
2019 J jnl
ROSA: Robust Salient Object Detection against Adversarial Attacks.
CoRR
Haofeng Li, Guanbin Li, Yizhou Yu
2019 J jnl
Self-Enhanced Convolutional Network for Facial Video Hallucination.
CoRR
Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu
2019 — conf
Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs.
MICCAI (6)
Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang
2019 J jnl
Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network.
IEEE Trans. Intell. Transp. Syst.
Yan Tian, Judith Gelernter, Xun Wang, Jianyuan Li, Yizhou Yu
2019 A* conf
Transductive Zero-Shot Learning with Visual Structure Constraint.
NeurIPS
Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
2019 J jnl
Transductive Zero-Shot Learning with Visual Structure Constraint.
CoRR
Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
2019 A* conf
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up.
CVPR
Weifeng Ge, Xiangru Lin, Yizhou Yu
2019 J jnl
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up.
CoRR
Weifeng Ge, Xiangru Lin, Yizhou Yu
2018 J jnl
Automatic Image Stylization Using Deep Fully Convolutional Networks.
CoRR
Feida Zhu, Yizhou Yu
2018 J jnl
Automatic object extraction from images using deep neural networks and the level-set method.
IET Image Process.
Kan Wu, Yizhou Yu
2018 J jnl
CaricatureShop: Personalized and Photorealistic Caricature Sketching.
CoRR
Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Yizhou Yu, Kun Zhou, Shuguang Cui
2018 J jnl
Contrast-Oriented Deep Neural Networks for Salient Object Detection.
CoRR
Guanbin Li, Yizhou Yu
2018 J jnl
Contrast-Oriented Deep Neural Networks for Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Guanbin Li, Yizhou Yu
2018 — conf
Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning.
BigMM
Lingbo Liu, Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu
2018 J jnl
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning.
CoRR
Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin
2018 J jnl
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification.
CoRR
Weifeng Ge, Bingchen Gong, Yizhou Yu
2018 J jnl
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification.
ACM Trans. Graph.
Weifeng Ge, Bingchen Gong, Yizhou Yu
2018 J jnl
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks.
CoRR
Yujing Sun, Yizhou Yu, Wenping Wang
2018 J jnl
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks.
IEEE Trans. Image Process.
Yujing Sun, Yizhou Yu, Wenping Wang
2018 A* conf
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning.
CVPR
Weifeng Ge, Sibei Yang, Yizhou Yu
2018 J jnl
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning.
CoRR
Weifeng Ge, Sibei Yang, Yizhou Yu
2018 J jnl
Piecewise Flat Embedding for Image Segmentation.
CoRR
Chaowei Fang, Zicheng Liao, Yizhou Yu
2018 — conf
ReCoNet: Real-Time Coherent Video Style Transfer Network.
ACCV (6)
Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu
2018 J jnl
ReCoNet: Real-time Coherent Video Style Transfer Network.
CoRR
Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu
2018 — conf
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
ECCV (13)
Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song
2018 J jnl
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
CoRR
Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song
2018 J jnl
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets.
Quant. Biol.
Sheng Wang, Zhen Li, Yizhou Yu, Xin Gao
2017 J jnl
A fast propagation scheme for approximate geodesic paths.
Graph. Model.
Xiaoguang Han, Hongchuan Yu, Yizhou Yu, Jian-Jun Zhang
2017 A* conf
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning.
CVPR
Weifeng Ge, Yizhou Yu
2017 J jnl
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning.
CoRR
Weifeng Ge, Yizhou Yu
2017 J jnl
ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos.
IEEE Computer Graphics and Applications
Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, Yizhou Yu
2017 J jnl
Context-Aware Semantic Inpainting.
CoRR
Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu
2017 J jnl
DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling.
CoRR
Xiaoguang Han, Chang Gao, Yizhou Yu
2017 J jnl
DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling.
ACM Trans. Graph.
Xiaoguang Han, Chang Gao, Yizhou Yu
2017 J jnl
Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017).
Graph. Model.
Niloy J. Mitra, Yizhou Yu, Ming-Ming Cheng
2017 J jnl
Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features.
IEEE Trans. Image Process.
Feida Zhu, Zhicheng Yan, Jiajun Bu, Yizhou Yu
2017 B conf
Folding Membrane Proteins by Deep Transfer Learning.
RECOMB
Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu
2017 J jnl
Folding membrane proteins by deep transfer learning.
CoRR
Sheng Wang, Zhen Li, Yizhou Yu, Jinbo Xu
2017 A* conf
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference.
ICCV
Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu
2017 J jnl
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference.
CoRR
Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu
2017 A* conf
Instance-Level Salient Object Segmentation.
CVPR
Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu
2017 J jnl
Instance-Level Salient Object Segmentation.
CoRR
Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu
2017 J jnl
Predicting membrane protein contacts from non-membrane proteins by deep transfer learning.
CoRR
Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu
2017 J jnl
Preface.
J. Comput. Sci. Technol.
Shi-Min Hu, Niloy J. Mitra, Yizhou Yu
2017 J jnl
Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection.
IEEE Trans. Vis. Comput. Graph.
Wenguan Wang, Jianbing Shen, Yizhou Yu, Kwan-Liu Ma
2016 J jnl
3D Human Model Reconstruction from Sparse Uncalibrated Views.
IEEE Computer Graphics and Applications
Xiaoguang Han, Kwan-Yee K. Wong, Yizhou Yu
2016 J jnl
A fast modal space transform for robust nonrigid shape retrieval.
Vis. Comput.
Jianbo Ye, Yizhou Yu
2016 J jnl
Automatic Photo Adjustment Using Deep Neural Networks.
ACM Trans. Graph.
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
2016 J jnl
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
CoRR
Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
2016 A* conf
Deep Contrast Learning for Salient Object Detection.
CVPR
Guanbin Li, Yizhou Yu
2016 J jnl
Deep Contrast Learning for Salient Object Detection.
CoRR
Guanbin Li, Yizhou Yu
2016 J jnl
Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation.
ACM Trans. Graph.
Yipeng Qin, Xiaoguang Han, Hongchuan Yu, Yizhou Yu, Jian-Jun Zhang
2016 — conf
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling.
ECCV (2)
Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin
2016 J jnl
Medial Meshes - A Compact and Accurate Representation of Medial Axis Transform.
IEEE Trans. Vis. Comput. Graph.
Feng Sun, Yi-King Choi, Yizhou Yu, Wenping Wang
2016 A* conf
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks.
IJCAI
Zhen Li, Yizhou Yu
2016 J jnl
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks.
CoRR
Zhen Li, Yizhou Yu
2016 J jnl
RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model.
CoRR
Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin
2016 J jnl
Surface Mosaic Synthesis with Irregular Tiles.
IEEE Trans. Vis. Comput. Graph.
Wenchao Hu, Zhonggui Chen, Hao Pan, Yizhou Yu, Eitan Grinspun, Wenping Wang
2016 J jnl
Visual Saliency Detection Based on Multiscale Deep CNN Features.
CoRR
Guanbin Li, Yizhou Yu
2016 J jnl
Visual Saliency Detection Based on Multiscale Deep CNN Features.
IEEE Trans. Image Process.
Guanbin Li, Yizhou Yu
2015 J jnl
An
ACM Trans. Graph.
Sai Bi, Xiaoguang Han, Yizhou Yu
2015 J jnl
Content-Aware Video2Comics With Manga-Style Layout.
IEEE Trans. Multim.
Guangmei Jing, Yongtao Hu, Yanwen Guo, Yizhou Yu, Wenping Wang
2015 A* conf
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.
ICCV
Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
2015 A* conf
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification.
ICCV
Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu
2015 J jnl
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification.
CoRR
Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu
2015 Misc conf
Hybrid superpixel segmentation.
IVCNZ
Yuan Liu, Shangqi Lai, Tianyi Du, Yizhou Yu
2015 J jnl
Magic decorator: automatic material suggestion for indoor digital scenes.
ACM Trans. Graph.
Kang Chen, Kun Xu, Yizhou Yu, Tian-yi Wang, Shi-Min Hu
2015 A* conf
Piecewise Flat Embedding for Image Segmentation.
ICCV
Yizhou Yu, Chaowei Fang, Zicheng Liao
2015 J jnl
Visual Saliency Based on Multiscale Deep Features.
CoRR
Guanbin Li, Yizhou Yu
2015 A* conf
Visual saliency based on multiscale deep features.
CVPR
Guanbin Li, Yizhou Yu
2015 J jnl
audeosynth: music-driven video montage.
ACM Trans. Graph.
Zicheng Liao, Yizhou Yu, Bingchen Gong, Lechao Cheng
2014 — conf
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.
ACCV (5)
Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu
2014 J jnl
Automatic Photo Adjustment Using Deep Learning.
CoRR
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
2014 J jnl
Optimized Synthesis of Art Patterns and Layered Textures.
IEEE Trans. Vis. Comput. Graph.
Ruobing Wu, Wenping Wang, Yizhou Yu
2014 J jnl
Speaker-Following Video Subtitles.
ACM Trans. Multim. Comput. Commun. Appl.
Yongtao Hu, Jan Kautz, Yizhou Yu, Wenping Wang
2014 J jnl
Speaker-following Video Subtitles.
CoRR
Yongtao Hu, Jan Kautz, Yizhou Yu, Wenping Wang
2013 J jnl
A compact random-access representation for urban modeling and rendering.
ACM Trans. Graph.
Zhengzheng Kuang, Bin Chan, Yizhou Yu, Wenping Wang
2013 J jnl
A robust high-resolution details preserving denoising algorithm for meshes.
Sci. China Inf. Sci.
Hanqi Fan, Qunsheng Peng, Yizhou Yu
2013 — conf
Example-based art pattern synthesis using level sets.
SIGGRAPH ASIA Technical Briefs
Ruobing Wu, Wenping Wang, Yizhou Yu
2013 B conf
Fast nonrigid 3D retrieval using modal space transform.
ICMR
Jianbo Ye, Zhicheng Yan, Yizhou Yu
2013 — conf
Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding.
VISAPP (1)
Shibo Gao, Yizhou Yu, Yongmei Cheng
2013 J jnl
Medial Meshes for Volume Approximation.
CoRR
Feng Sun, Yi-King Choi, Yizhou Yu, Wenping Wang
2013 — conf
Medical Volume Segmentation based on Level Sets of Probabilities.
VISAPP (1)
Yugang Liu, Yizhou Yu
2013 A* conf
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors.
CVPR
Ruobing Wu, Yizhou Yu, Wenping Wang
2013 — ed.
SIGGRAPH Asia 2013, Hong Kong, China, November 19-22, 2013, Courses
SIGGRAPH ASIA Courses
Yizhou Yu
2013 B conf
Sparse similarity matrix learning for visual object retrieval.
IJCNN
Zhicheng Yan, Yizhou Yu
2013 — ed.
The ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA '13, Anaheim, CA, USA, July 19-21, 2013
Symposium on Computer Animation
Jinxiang Chai, Yizhou Yu, Theodore Kim, Robert W. Sumner
2012 — conf
A Robust Algorithm for Denoising Meshes with High-Resolution Details.
CVM
Hanqi Fan, Qunsheng Peng, Yizhou Yu
2012 J jnl
A Subdivision-Based Representation for Vector Image Editing.
IEEE Trans. Vis. Comput. Graph.
Zicheng Liao, Hugues Hoppe, David A. Forsyth, Yizhou Yu
2012 J jnl
Detail-Preserving Controllable Deformation from Sparse Examples.
IEEE Trans. Vis. Comput. Graph.
Hao-Da Huang, KangKang Yin, Ling Zhao, Yue Qi, Yizhou Yu, Xin Tong
2012 J jnl
Interactive Image Segmentation Based on Level Sets of Probabilities.
IEEE Trans. Vis. Comput. Graph.
Yugang Liu, Yizhou Yu
2012 A* conf
Learning image-specific parameters for interactive segmentation.
CVPR
Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng
2012 J jnl
Object-space multiphase implicit functions.
ACM Trans. Graph.
Zhan Yuan, Yizhou Yu, Wenping Wang
2012 J jnl
Parallel H-Tree Based Data Cubing on Graphics Processors.
Int. J. Softw. Informatics
Baoyuan Wang, Yizhou Yu
2012 J jnl
Single-view hair modeling for portrait manipulation.
ACM Trans. Graph.
Menglei Chai, Lvdi Wang, Yanlin Weng, Yizhou Yu, Baining Guo, Kun Zhou
2012 B conf
Subspace segmentation with a Minimal Squared Frobenius Norm Representation.
ICPR
Siming Wei, Yizhou Yu
2011 — conf
Controllable Hand Deformation from Sparse Examples with Rich Details.
Symposium on Computer Animation
Hao-Da Huang, Ling Zhao, KangKang Yin, Yue Qi, Yizhou Yu, Xin Tong
2011 J jnl
Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral.
IEEE Signal Process. Lett.
Yugang Liu, Leiting Chen, Yizhou Yu
2011 J jnl
Example-based image color and tone style enhancement.
ACM Trans. Graph.
Baoyuan Wang, Yizhou Yu, Ying-Qing Xu
2011 — conf
Interactive 2D and volume image segmentation using level sets of probabilities.
SIGGRAPH Asia Sketches
Yugang Liu, Yizhou Yu
2011 J jnl
Multiscale vector volumes.
ACM Trans. Graph.
Lvdi Wang, Yizhou Yu, Kun Zhou, Baining Guo
2011 J jnl
New Technique: Sketch-based rotation editing.
J. Zhejiang Univ. Sci. C
Yue Xie, Weiwei Xu, Yizhou Yu, Yanlin Weng
2010 J jnl
A deformation transformer for real-time cloth animation.
ACM Trans. Graph.
Wei-Wen Feng, Yizhou Yu, Byung-Uck Kim
2010 — conf
Anomaly detection in GPS data based on visual analytics.
IEEE VAST
Zicheng Liao, Yizhou Yu, Baoquan Chen
2010 B conf
Automatic detection of malignant prostatic gland units in cross-sectional microscopic images.
ICIP
Tian Xia, Yizhou Yu, Jing Hua
2010 B conf
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation.
ICIP
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou Yu
2010 J jnl
Data-driven image color theme enhancement.
ACM Trans. Graph.
Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen, Ying-Qing Xu
2010 J jnl
Erratum to: Real-time data driven deformation with affine bones.
Vis. Comput.
Byung-Uck Kim, Wei-Wen Feng, Yizhou Yu
2010 J jnl
Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes.
ACM Trans. Graph.
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu, Liang Peng, John Hart
2010 J jnl
Lazy texture selection based on active learning.
Vis. Comput.
Tian Xia, Qing Wu, Chun Chen, Yizhou Yu
2010 — conf
Multiscale Visualization of Relational Databases using Layered Zoom Trees and Partial Data Cubes.
IMAGAPP/IVAPP
Baoyuan Wang, Gang Chen, Jiajun Bu, Yizhou Yu
2010 J jnl
Real-time data driven deformation with affine bones.
Vis. Comput.
Byung-Uck Kim, Wei-Wei Feng, Yizhou Yu
2010 B conf
Reconstructing diffusion kurtosis tensors from sparse noisy measurements.
ICIP
Yugang Liu, Siming Wei, Quan Jiang, Yizhou Yu
2010 J jnl
Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods.
IEEE Trans. Vis. Comput. Graph.
Hanqi Fan, Yizhou Yu, Qunsheng Peng
2010 J jnl
Vector solid textures.
ACM Trans. Graph.
Lvdi Wang, Kun Zhou, Yizhou Yu, Baining Guo
2010 — conf
ZoomTree: Unrestricted Zoom Paths in Multiscale Visual Analysis of Relational Databases.
VISIGRAPP (Selected Papers)
Baoyuan Wang, Gang Chen, Jiajun Bu, Yizhou Yu
2009 J jnl
Example-based hair geometry synthesis.
ACM Trans. Graph.
Lvdi Wang, Yizhou Yu, Kun Zhou, Baining Guo
2009 — conf
Hierarchical and wavelet-based multilinear models for multi-dimensional visual data approximation.
CAD/Graphics
Yizhou Yu
2009 J jnl
Patch-based image vectorization with automatic curvilinear feature alignment.
ACM Trans. Graph.
Tian Xia, Binbin Liao, Yizhou Yu
2008 J jnl
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data.
IEEE Trans. Vis. Comput. Graph.
Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, Hongcheng Wang, Yizhou Yu
2008 J jnl
Real-time data driven deformation using kernel canonical correlation analysis.
ACM Trans. Graph.
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu
2008 J jnl
Shape-constrained flock animation.
Comput. Animat. Virtual Worlds
Jiayi Xu, Xiaogang Jin, Yizhou Yu, Tian Shen, Mingdong Zhou
2008 B conf
Wavelet-based hybrid multilinear models for multidimensional image approximation.
ICIP
Qing Wu, Chun Chen, Yizhou Yu
2007 J jnl
Gradient domain editing of deforming mesh sequences.
ACM Trans. Graph.
Weiwei Xu, Kun Zhou, Yizhou Yu, Qifeng Tan, Qunsheng Peng, Baining Guo
2007 — conf
Hierarchical Tensor Approximation of Multidimensional Images.
ICIP (4)
Qing Wu, Tian Xia, Yizhou Yu
2007 Misc conf
Laplacian Guided Editing, Synthesis, and Simulation.
PG
Yizhou Yu
2007 — conf
Large-Scale Data Management for PRT-Based Real-Time Rendering of Dynamically Skinned Models.
Rendering Techniques
Wei-Wen Feng, Liang Peng, Yuntao Jia, Yizhou Yu
2007 Misc conf
Transplanting and Editing Animations on Skinned Meshes.
PG
Yuntao Jia, Wei-Wen Feng, Yizhou Yu
2006 J jnl
A fast multigrid algorithm for mesh deformation.
ACM Trans. Graph.
Lin Shi, Yizhou Yu, Nathan Bell, Wei-Wen Feng
2005 J jnl
Controllable motion synthesis in a gaseous medium.
Vis. Comput.
Lin Shi, Yizhou Yu, Christopher Wojtan, Stephen Chenney
2005 J jnl
Controllable smoke animation with guiding objects.
ACM Trans. Graph.
Lin Shi, Yizhou Yu
2005 J jnl
Out-of-core tensor approximation of multi-dimensional matrices of visual data.
ACM Trans. Graph.
Hongcheng Wang, Qing Wu, Lin Shi, Yizhou Yu, Narendra Ahuja
2005 — conf
Particle-based simulation of granular materials.
Symposium on Computer Animation
Nathan Bell, Yizhou Yu, Peter J. Mucha
2005 J jnl
Photogrammetric reconstruction of free-form objects with curvilinear structures.
Vis. Comput.
Hong Wu, Yizhou Yu
2005 J jnl
Shadow Graphs and 3D Texture Reconstruction.
Int. J. Comput. Vis.
Yizhou Yu, Johnny T. Chang
2005 — conf
Simulation-Based Cartoon Hair Animation.
WSCG (Full Papers)
Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima
2005 — conf
Taming liquids for rapidly changing targets.
Symposium on Computer Animation
Lin Shi, Yizhou Yu
2004 — conf
Cartoon hair animation based on physical simulation.
SIGGRAPH Posters
Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima
2004 J jnl
Feature matching and deformation for texture synthesis.
ACM Trans. Graph.
Qing Wu, Yizhou Yu
2004 J jnl
Inviscid and incompressible fluid simulation on triangle meshes.
Comput. Animat. Virtual Worlds
Lin Shi, Yizhou Yu
2004 J jnl
Mesh editing with poisson-based gradient field manipulation.
ACM Trans. Graph.
Yizhou Yu, Kun Zhou, Dong Xu, Xiaohan Shi, Hujun Bao, Baining Guo, Heung-Yeung Shum
2004 — conf
Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features.
ECCV (3)
Wei Hong, Yi Ma, Yizhou Yu
2004 J jnl
Video metamorphosis using dense flow fields.
Comput. Animat. Virtual Worlds
Yizhou Yu, Qing Wu
2003 Misc conf
Motion Field Estimation for Temporal Textures.
DICTA
David Edwards, Johnny T. Chang, Lin Shi, Yizhou Yu
2003 Misc conf
Two-Level Image Segmentation Based on Region and Edge Integration.
DICTA
Qing Wu, Yizhou Yu
2002 — conf
A practical model for hair mutual interactions.
Symposium on Computer Animation
Johnny T. Chang, Jingyi Jin, Yizhou Yu
2002 Misc conf
Pattern-Based Texture Metamorphosis.
PG
Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu
2002 — conf
Shadow Graphs and Surface Reconstruction.
ECCV (2)
Yizhou Yu, Johnny T. Chang
2001 J jnl
Extracting Objects from Range and Radiance Images.
IEEE Trans. Vis. Comput. Graph.
Yizhou Yu, Andras Ferencz, Jitendra Malik
2001 Misc conf
Modeling Realistic Virtual Hairstyles.
PG
Yizhou Yu
2001 A* conf
Synthesizing bidirectional texture functions for real-world surfaces.
SIGGRAPH
Xinguo Liu, Yizhou Yu, Heung-Yeung Shum
1999 J jnl
Efficient visibility processing for projective texture mapping.
Comput. Graph.
Yizhou Yu
1999 A* conf
Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs.
SIGGRAPH
Yizhou Yu, Paul E. Debevec, Jitendra Malik, Tim Hawkins
1998 — conf
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping.
Rendering Techniques
Paul E. Debevec, Yizhou Yu, George Borshukov
1998 A* conf
Recovering Photometric Properties of Architectural Scenes from Photographs.
SIGGRAPH
Yizhou Yu, Jitendra Malik
1997 J jnl
A Rendering Equation for Specular Transfers and Its Integration into Global Illumination.
Comput. Graph. Forum
Yizhou Yu, Hong Wu
1997 J jnl
Parallel Progressive Radiosity with Adaptive Meshing.
J. Parallel Distributed Comput.
Yizhou Yu, Oscar H. Ibarra, Tao Yang
1996 — conf
Parallel Progressive Radiosity with Adaptive Meshing.
IRREGULAR
Yizhou Yu, Oscar H. Ibarra, Tao Yang
1995 J jnl
Multiresolution B-spline Radiosity.
Comput. Graph. Forum
Yizhou Yu, Qunsheng Peng