Xiaowei Hu

Orcid: 0000-0002-5708-7018

Affiliations:
  • Shanghai AI Laboratory, China
  • The Chinese University of Hong Kong, Hong Kong, China (former)


According to our database1, Xiaowei Hu authored at least 53 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling.
CoRR, 2024

2023
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Deep Texture-Aware Features for Camouflaged Object Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Instance Shadow Detection With a Single-Stage Detector.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Representative Feature Alignment for Adaptive Object Detection.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
CoRR, 2023

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Video Instance Shadow Detection.
CoRR, 2022

Demystify Transformers & Convolutions in Modern Image Deep Networks.
CoRR, 2022

Learning Shadow Correspondence for Video Shadow Detection.
CoRR, 2022

Dynamic Message Propagation Network for RGB-D Salient Object Detection.
CoRR, 2022

Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation.
CoRR, 2022

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhanced Coarse-to-Fine Network for Image Restoration from Under-Display Cameras.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learning Shadow Correspondence for Video Shadow Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021

SALMNet: A Structure-Aware Lane Marking Detection Network.
IEEE Trans. Intell. Transp. Syst., 2021

Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features.
IEEE Trans. Image Process., 2021

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World.
IEEE Trans. Image Process., 2021

Learning Gated Non-Local Residual for Single-Image Rain Streak Removal.
IEEE Trans. Circuits Syst. Video Technol., 2021

SAC-Net: Spatial Attenuation Context for Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Global guidance network for breast lesion segmentation in ultrasound images.
Medical Image Anal., 2021

Single-Stage Instance Shadow Detection With Bidirectional Relation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Saliency-Aware Texture Smoothing.
IEEE Trans. Vis. Comput. Graph., 2020

ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation.
IEEE Trans. Medical Imaging, 2020

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
IEEE Trans. Medical Imaging, 2020

Aggregating Attentional Dilated Features for Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Direction-Aware Spatial Context Features for Shadow Detection and Removal.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

GrabAR: Occlusion-aware Grabbing Virtual Objects in AR.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Instance Shadow Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.
IEEE Trans. Medical Imaging, 2019

SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection.
IEEE Trans. Intell. Transp. Syst., 2019

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.
Medical Image Anal., 2019

Enhancing Augmented VR Interaction via Egocentric Scene Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

SAC-Net: Spatial Attenuation Context for Salient Object Detection.
CoRR, 2019

DALocNet: Improving Localization Accuracy for Domain Adaptive Object Detection.
IEEE Access, 2019

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Multi-Model Fusion for Single-Image Dehazing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Depth-Attentional Features for Single-Image Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Attentional Features for Prostate Segmentation in Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

R³Net: Recurrent Residual Refinement Network for Saliency Detection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Direction-Aware Spatial Context Features for Shadow Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrently Aggregating Deep Features for Salient Object Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
AGNet: Attention-Guided Network for Surgical Tool Presence Detection.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017


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