Yizhou Yu

Orcid: 0000-0002-0470-5548

According to our database1, Yizhou Yu authored at least 313 papers between 1995 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2022, "For contributions to computer graphics and computer vision".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning.
Int. J. Comput. Vis., December, 2024

SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling.
IEEE Trans. Vis. Comput. Graph., August, 2024

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation".
IEEE Trans. Medical Imaging, February, 2024

Inter-domain mixup for semi-supervised domain adaptation.
Pattern Recognit., February, 2024

Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data.
Health Informatics J., 2024

ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features.
CoRR, 2024

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks.
CoRR, 2024

Autoregressive Sequence Modeling for 3D Medical Image Representation.
CoRR, 2024

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba.
CoRR, 2024

Uncertainty Estimation of Large Language Models in Medical Question Answering.
CoRR, 2024

DreamDA: Generative Data Augmentation with Diffusion Models.
CoRR, 2024

SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging.
CoRR, 2024

Progressive Conservative Adaptation for Evolving Target Domains.
CoRR, 2024

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR, 2024

Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models.
CoRR, 2024

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RegionGPT: Towards Region Understanding Vision Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
EMS: 3D Eyebrow Modeling from Single-View Images.
ACM Trans. Graph., December, 2023

A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors.
Int. J. Comput. Assist. Radiol. Surg., December, 2023

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage, May, 2023

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.
Medical Image Anal., May, 2023

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing, April, 2023

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
IEEE Trans. Medical Imaging, 2023

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images.
IEEE J. Biomed. Health Informatics, 2023

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer.
IEEE Trans. Image Process., 2023

Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation.
IEEE Trans. Image Process., 2023

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition.
CoRR, 2023

B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation.
CoRR, 2023

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR, 2023

EGC: Image Generation and Classification via a Diffusion Energy-Based Model.
CoRR, 2023

Multi-Level Contrastive Learning for Dense Prediction Task.
CoRR, 2023

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling.
CoRR, 2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.
CoRR, 2023

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.
CoRR, 2023

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Advancing Radiograph Representation Learning with Masked Record Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Domain-Agnostic Representation for Disease Diagnosis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EGC: Image Generation and Classification via a Diffusion Energy-Based Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Activate and Reject: Towards Safe Domain Generalization under Category Shift.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improved Distribution Matching for Dataset Condensation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leveraging Frequency Domain Learning in 3D Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Geometry-Aware Network for Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

RankDNN: Learning to Rank for Few-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network.
IEEE Trans. Vis. Comput. Graph., 2022

Structure-aware Meta-fusion for Image Super-resolution.
ACM Trans. Multim. Comput. Commun. Appl., 2022

GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis.
IEEE Trans. Medical Imaging, 2022

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis.
IEEE Trans. Medical Imaging, 2022

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022

3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine, 2022

A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans.
Neural Comput. Appl., 2022

Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation.
Neural Comput. Appl., 2022

Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports.
Nat. Mach. Intell., 2022

M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention.
Medical Image Anal., 2022

MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images.
Medical Image Anal., 2022

RankDNN: Learning to Rank for Few-shot Learning.
CoRR, 2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.
CoRR, 2022

PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds.
CoRR, 2022

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.
Comput. Methods Programs Biomed., 2022

Few-shot medical image segmentation using a global correlation network with discriminative embedding.
Comput. Biol. Medicine, 2022

Domain generalization on medical imaging classification using episodic training with task augmentation.
Comput. Biol. Medicine, 2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

Disentangling Disease-related Representation from Obscure for Disease Prediction.
Proceedings of the International Conference on Machine Learning, 2022

Causal associations between neuroinflammation and Alzheimer's disease risk.
Proceedings of the 11th International Conference on Bioinformatics and Biomedical Science, 2022

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.
Proceedings of the Computer Vision - ECCV 2022, 2022

One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement.
Proceedings of the Computer Vision - ECCV 2022, 2022

Neighborhood Collective Estimation for Noisy Label Identification and Correction.
Proceedings of the Computer Vision, 2022

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Compound Domain Generalization via Meta-Knowledge Encoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BOAT: Bilateral Local Attention Vision Transformer.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Causal Debiasing Framework for Unsupervised Salient Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Causal Inference Look at Unsupervised Video Anomaly Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contralaterally Enhanced Networks for Thoracic Disease Detection.
IEEE Trans. Medical Imaging, 2021

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation.
IEEE Trans. Medical Imaging, 2021

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images.
IEEE J. Biomed. Health Informatics, 2021

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.
IEEE Trans. Image Process., 2021

Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.
IEEE Trans. Cybern., 2021

Cross-modality deep feature learning for brain tumor segmentation.
Pattern Recognit., 2021

Relationship-Embedded Representation Learning for Grounding Referring Expressions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

AI-based analysis of CT images for rapid triage of COVID-19 patients.
npj Digit. Medicine, 2021

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021

Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net.
Medical Image Anal., 2021

Identification of pediatric respiratory diseases using a fine-grained diagnosis system.
J. Biomed. Informatics, 2021

A Nonintrusive Elderly Home Monitoring System.
IEEE Internet Things J., 2021

Instance-level salient object segmentation.
Comput. Vis. Image Underst., 2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition.
CoRR, 2021

nnFormer: Interleaved Transformer for Volumetric Segmentation.
CoRR, 2021

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation.
CoRR, 2021

Learning Part Generation and Assembly for Sketching Man-Made Objects.
Comput. Graph. Forum, 2021

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit.
Biomed. Signal Process. Control., 2021

Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generator Versus Segmentor: Pseudo-healthy Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DAE-GCN: Identifying Disease-Related Features for Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
Proceedings of the Information Processing in Medical Imaging, 2021

Noise2Grad: Extract Image Noise to Denoise.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-scale Matching Networks for Semantic Correspondence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GraphFPN: Graph Feature Pyramid Network for Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ME-PCN: Point Completion Conditioned on Mask Emptiness.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bottom-Up Shift and Reasoning for Referring Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scene-Intuitive Agent for Remote Embodied Visual Grounding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Neural Style Transfer: A Review.
IEEE Trans. Vis. Comput. Graph., 2020

CaricatureShop: Personalized and Photorealistic Caricature Sketching.
IEEE Trans. Vis. Comput. Graph., 2020

Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images.
IEEE Trans. Image Process., 2020

Online Alternate Generator Against Adversarial Attacks.
IEEE Trans. Image Process., 2020

Residual Learning for Salient Object Detection.
IEEE Trans. Image Process., 2020

Self-Enhanced Convolutional Network for Facial Video Hallucination.
IEEE Trans. Image Process., 2020

ROSA: Robust Salient Object Detection Against Adversarial Attacks.
IEEE Trans. Cybern., 2020

EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection.
Int. J. Comput. Vis., 2020

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding.
CoRR, 2020

Adaptive noise imitation for image denoising.
CoRR, 2020

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision.
CoRR, 2020

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results.
CoRR, 2020

Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR, 2020

Generator Versus Segmentor: Pseudo-healthy Synthesis.
CoRR, 2020

ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities.
CoRR, 2020

Kernel Quantization for Efficient Network Compression.
CoRR, 2020

When Relation Networks meet GANs: Relation GANs with Triplet Loss.
CoRR, 2020

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread.
CoRR, 2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Adaptive Context Selection for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Evaluating Multi-Class Segmentation Errors with Anatomical Priors.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images.
Proceedings of the IEEE International Conference on Image Processing, 2020

Propagating Over Phrase Relations for One-Stage Visual Grounding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Graph-Structured Referring Expression Reasoning in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning.
IEEE Trans. Multim., 2019

Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network.
IEEE Trans. Intell. Transp. Syst., 2019

A Benchmark for Edge-Preserving Image Smoothing.
IEEE Trans. Image Process., 2019

Context-Aware Semantic Inpainting.
IEEE Trans. Cybern., 2019

Piecewise Flat Embedding for Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
CoRR, 2019

Automatic Color Sketch Generation Using Deep Style Transfer.
IEEE Computer Graphics and Applications, 2019

Transductive Zero-Shot Learning with Visual Structure Constraint.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Graph Attention for Referring Expression Comprehension.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Motion Guided Attention for Video Salient Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multi-Source Weak Supervision for Saliency Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross-Modal Relationship Inference for Grounding Referring Expressions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification.
ACM Trans. Graph., 2018

Contrast-Oriented Deep Neural Networks for Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks.
IEEE Trans. Image Process., 2018

WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets.
Quant. Biol., 2018

Automatic object extraction from images using deep neural networks and the level-set method.
IET Image Process., 2018

Automatic Image Stylization Using Deep Fully Convolutional Networks.
CoRR, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
CoRR, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

ReCoNet: Real-Time Coherent Video Style Transfer Network.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection.
IEEE Trans. Vis. Comput. Graph., 2017

DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling.
ACM Trans. Graph., 2017

Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features.
IEEE Trans. Image Process., 2017

Preface.
J. Comput. Sci. Technol., 2017

Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017).
Graph. Model., 2017

A fast propagation scheme for approximate geodesic paths.
Graph. Model., 2017

Context-Aware Semantic Inpainting.
CoRR, 2017

Predicting membrane protein contacts from non-membrane proteins by deep transfer learning.
CoRR, 2017

ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos.
IEEE Computer Graphics and Applications, 2017

Folding Membrane Proteins by Deep Transfer Learning.
Proceedings of the Research in Computational Molecular Biology, 2017

High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Instance-Level Salient Object Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A fast modal space transform for robust nonrigid shape retrieval.
Vis. Comput., 2016

Medial Meshes - A Compact and Accurate Representation of Medial Axis Transform.
IEEE Trans. Vis. Comput. Graph., 2016

Surface Mosaic Synthesis with Irregular Tiles.
IEEE Trans. Vis. Comput. Graph., 2016

Automatic Photo Adjustment Using Deep Neural Networks.
ACM Trans. Graph., 2016

Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation.
ACM Trans. Graph., 2016

Visual Saliency Detection Based on Multiscale Deep CNN Features.
IEEE Trans. Image Process., 2016

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
CoRR, 2016

RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model.
CoRR, 2016

3D Human Model Reconstruction from Sparse Uncalibrated Views.
IEEE Computer Graphics and Applications, 2016

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Contrast Learning for Salient Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
audeosynth: music-driven video montage.
ACM Trans. Graph., 2015

Magic decorator: automatic material suggestion for indoor digital scenes.
ACM Trans. Graph., 2015

An <i>L</i><sub>1</sub> image transform for edge-preserving smoothing and scene-level intrinsic decomposition.
ACM Trans. Graph., 2015

Content-Aware Video2Comics With Manga-Style Layout.
IEEE Trans. Multim., 2015

Hybrid superpixel segmentation.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Visual saliency based on multiscale deep features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Optimized Synthesis of Art Patterns and Layered Textures.
IEEE Trans. Vis. Comput. Graph., 2014

Speaker-Following Video Subtitles.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Automatic Photo Adjustment Using Deep Learning.
CoRR, 2014

Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A compact random-access representation for urban modeling and rendering.
ACM Trans. Graph., 2013

Medial Meshes for Volume Approximation.
CoRR, 2013

A robust high-resolution details preserving denoising algorithm for meshes.
Sci. China Inf. Sci., 2013

Medical Volume Segmentation based on Level Sets of Probabilities.
Proceedings of the VISAPP 2013, 2013

Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding.
Proceedings of the VISAPP 2013, 2013

Example-based art pattern synthesis using level sets.
Proceedings of the SIGGRAPH Asia 2013, 2013

Fast nonrigid 3D retrieval using modal space transform.
Proceedings of the International Conference on Multimedia Retrieval, 2013

Sparse similarity matrix learning for visual object retrieval.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Interactive Image Segmentation Based on Level Sets of Probabilities.
IEEE Trans. Vis. Comput. Graph., 2012

A Subdivision-Based Representation for Vector Image Editing.
IEEE Trans. Vis. Comput. Graph., 2012

Detail-Preserving Controllable Deformation from Sparse Examples.
IEEE Trans. Vis. Comput. Graph., 2012

Object-space multiphase implicit functions.
ACM Trans. Graph., 2012

Single-view hair modeling for portrait manipulation.
ACM Trans. Graph., 2012

Parallel H-Tree Based Data Cubing on Graphics Processors.
Int. J. Softw. Informatics, 2012

Subspace segmentation with a Minimal Squared Frobenius Norm Representation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning image-specific parameters for interactive segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Robust Algorithm for Denoising Meshes with High-Resolution Details.
Proceedings of the Computational Visual Media - First International Conference, 2012

2011
Multiscale vector volumes.
ACM Trans. Graph., 2011

Example-based image color and tone style enhancement.
ACM Trans. Graph., 2011

Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral.
IEEE Signal Process. Lett., 2011

New Technique: Sketch-based rotation editing.
J. Zhejiang Univ. Sci. C, 2011

Interactive 2D and volume image segmentation using level sets of probabilities.
Proceedings of the SIGGRAPH Asia 2011 Sketches, Hong Kong, December 12-15, 2011, 2011

Controllable Hand Deformation from Sparse Examples with Rich Details.
Proceedings of the 2011 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2011

2010
Lazy texture selection based on active learning.
Vis. Comput., 2010

Erratum to: Real-time data driven deformation with affine bones.
Vis. Comput., 2010

Real-time data driven deformation with affine bones.
Vis. Comput., 2010

Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods.
IEEE Trans. Vis. Comput. Graph., 2010

Vector solid textures.
ACM Trans. Graph., 2010

Data-driven image color theme enhancement.
ACM Trans. Graph., 2010

A deformation transformer for real-time cloth animation.
ACM Trans. Graph., 2010

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes.
ACM Trans. Graph., 2010

ZoomTree: Unrestricted Zoom Paths in Multiscale Visual Analysis of Relational Databases.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2010

Multiscale Visualization of Relational Databases using Layered Zoom Trees and Partial Data Cubes.
Proceedings of the IMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications and IVAPP 2010 - Proceedings of the International Conference on Information Visualization Theory and Applications, Angers, France, May 17, 2010

Anomaly detection in GPS data based on visual analytics.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

Automatic detection of malignant prostatic gland units in cross-sectional microscopic images.
Proceedings of the International Conference on Image Processing, 2010

Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation.
Proceedings of the International Conference on Image Processing, 2010

Reconstructing diffusion kurtosis tensors from sparse noisy measurements.
Proceedings of the International Conference on Image Processing, 2010

2009
Patch-based image vectorization with automatic curvilinear feature alignment.
ACM Trans. Graph., 2009

Example-based hair geometry synthesis.
ACM Trans. Graph., 2009

Hierarchical and wavelet-based multilinear models for multi-dimensional visual data approximation.
Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009

2008
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data.
IEEE Trans. Vis. Comput. Graph., 2008

Real-time data driven deformation using kernel canonical correlation analysis.
ACM Trans. Graph., 2008

Shape-constrained flock animation.
Comput. Animat. Virtual Worlds, 2008

Wavelet-based hybrid multilinear models for multidimensional image approximation.
Proceedings of the International Conference on Image Processing, 2008

2007
Gradient domain editing of deforming mesh sequences.
ACM Trans. Graph., 2007

Large-Scale Data Management for PRT-Based Real-Time Rendering of Dynamically Skinned Models.
Proceedings of the Eurographics Symposium on Rendering Techniques, Grenoble, France, 2007, 2007

Laplacian Guided Editing, Synthesis, and Simulation.
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

Transplanting and Editing Animations on Skinned Meshes.
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

Hierarchical Tensor Approximation of Multidimensional Images.
Proceedings of the International Conference on Image Processing, 2007

2006
A fast multigrid algorithm for mesh deformation.
ACM Trans. Graph., 2006

2005
Photogrammetric reconstruction of free-form objects with curvilinear structures.
Vis. Comput., 2005

Controllable motion synthesis in a gaseous medium.
Vis. Comput., 2005

Out-of-core tensor approximation of multi-dimensional matrices of visual data.
ACM Trans. Graph., 2005

Controllable smoke animation with guiding objects.
ACM Trans. Graph., 2005

Shadow Graphs and 3D Texture Reconstruction.
Int. J. Comput. Vis., 2005

Simulation-Based Cartoon Hair Animation.
Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005

Taming liquids for rapidly changing targets.
Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2005

Particle-based simulation of granular materials.
Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2005

2004
Mesh editing with poisson-based gradient field manipulation.
ACM Trans. Graph., 2004

Feature matching and deformation for texture synthesis.
ACM Trans. Graph., 2004

Video metamorphosis using dense flow fields.
Comput. Animat. Virtual Worlds, 2004

Inviscid and incompressible fluid simulation on triangle meshes.
Comput. Animat. Virtual Worlds, 2004

Cartoon hair animation based on physical simulation.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features.
Proceedings of the Computer Vision, 2004

2003
Two-Level Image Segmentation Based on Region and Edge Integration.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

Motion Field Estimation for Temporal Textures.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

2002
A practical model for hair mutual interactions.
Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2002

Pattern-Based Texture Metamorphosis.
Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, 2002

Shadow Graphs and Surface Reconstruction.
Proceedings of the Computer Vision, 2002

2001
Extracting Objects from Range and Radiance Images.
IEEE Trans. Vis. Comput. Graph., 2001

Synthesizing bidirectional texture functions for real-world surfaces.
Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, 2001

Modeling Realistic Virtual Hairstyles.
Proceedings of the 9th Pacific Conference on Computer Graphics and Applications, 2001

1999
Efficient visibility processing for projective texture mapping.
Comput. Graph., 1999

Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs.
Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, 1999

1998
Recovering Photometric Properties of Architectural Scenes from Photographs.
Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, 1998

Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping.
Proceedings of the Rendering Techniques '98, Proceedings of the Eurographics Workshop in Vienna, Austria, June 29, 1998

1997
Parallel Progressive Radiosity with Adaptive Meshing.
J. Parallel Distributed Comput., 1997

A Rendering Equation for Specular Transfers and Its Integration into Global Illumination.
Comput. Graph. Forum, 1997

1995
Multiresolution B-spline Radiosity.
Comput. Graph. Forum, 1995


  Loading...