Wei Shen
Orcid: 0000-0002-1235-598XAffiliations:
- Shanghai Jiao Tong University, Artificial Intelligence Institute, China
- Johns Hopkins University, Baltimore, MD, USA (former)
- Shanghai University, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China (former)
- Huazhong University of Science and Technology, Department of Electronics and Information Engineering, Wuhan, China (PhD 2012)
According to our database1,
Wei Shen
authored at least 155 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades.
CoRR, January, 2025
2024
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting.
ACM Trans. Graph., December, 2024
IEEE Trans. Medical Imaging, September, 2024
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2024
IEEE Trans. Circuits Syst. Video Technol., May, 2024
Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
IEEE Trans. Circuits Syst. Video Technol., February, 2024
CoRR, 2024
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations.
CoRR, 2024
CoRR, 2024
SG-GS: Photo-realistic Animatable Human Avatars with Semantically-Guided Gaussian Splatting.
CoRR, 2024
CHASE: 3D-Consistent Human Avatars with Sparse Inputs via Gaussian Splatting and Contrastive Learning.
CoRR, 2024
See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition.
CoRR, 2024
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.
CoRR, 2024
GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting.
CoRR, 2024
Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries Using Gaussian Splatting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024
Tendency-Driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Parameter Efficient Fine-Tuning via Cross Block Orchestration for Segment Anything Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
IEEE Trans. Multim., 2023
Develop Then Rival: A Human Vision-Inspired Framework for Superimposed Image Decomposition.
IEEE Trans. Multim., 2023
Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature.
Int. J. Comput. Assist. Radiol. Surg., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Pattern Recognit., 2022
Neurocomputing, 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting.
CoRR, 2022
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction.
CoRR, 2022
Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
CoRR, 2021
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Medical Image Anal., 2019
KSII Trans. Internet Inf. Syst., 2019
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion.
CoRR, 2019
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Multi-oriented text detection from natural scene images based on a CNN and pruning non-adjacent graph edges.
Signal Process. Image Commun., 2018
Pattern Recognit. Lett., 2018
Cogn. Comput., 2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 International Conference on 3D Vision, 2018
2017
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.
IEEE Trans. Image Process., 2017
Signal Process. Image Commun., 2017
Slope-Restricted Multi-Scale Feature Matching for Geostationary Satellite Remote Sensing Images.
Remote. Sens., 2017
Abnormal event detection in crowded scenes using two sparse dictionaries with saliency.
J. Electronic Imaging, 2017
Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation.
J. Comput. Sci. Technol., 2017
Neighborhood geometry based feature matching for geostationary satellite remote sensing image.
Neurocomputing, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Spatial-temporal convolutional neural networks for anomaly detection and localization in crowded scenes.
Signal Process. Image Commun., 2016
Pattern Recognit. Lett., 2016
Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images.
Pattern Recognit., 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
J. Electronic Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
Neurocomputing, 2013
Sci. China Inf. Sci., 2013
Ensemble of Randomized Linear Discriminant Analysis for face recognition with single sample per person.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013
2012
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Class-specific object contour detection by iteratively combining context information.
Proceedings of the 8th International Conference on Information, 2011
2010
Neurocomputing, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010