Wei Zhang

Orcid: 0000-0002-2358-8543

Affiliations:
  • Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China (since 2003)
  • University of North Carolina at Charlotte, Computer Science Department, NC, USA (2016 - 2017)
  • Fudan University, School of Economics, Shanghai, China (former)


According to our database1, Wei Zhang authored at least 54 papers between 2005 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
HFVOS: History-Future Integrated Dynamic Memory for Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation.
CoRR, 2024

X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework.
Proceedings of the Computer Vision - ECCV 2024, 2024

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dual Cross-Attention for Video Object Segmentation via Uncertainty Refinement.
IEEE Trans. Multim., 2023

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LVOS: A Benchmark for Long-term Video Object Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Multi-image Hiding with Random Key.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022
Guided Filter Network for Semantic Image Segmentation.
IEEE Trans. Image Process., 2022

Adaptive Selection of Reference Frames for Video Object Segmentation.
IEEE Trans. Image Process., 2022

Adaptive Online Mutual Learning Bi-Decoders for Video Object Segmentation.
IEEE Trans. Image Process., 2022

A systematic review on affective computing: emotion models, databases, and recent advances.
Inf. Fusion, 2022

Designing intelligent self-checkup based technologies for everyday healthy living.
Int. J. Hum. Comput. Stud., 2022

Weakly Supervised Video Salient Object Detection via Point Supervision.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Tokenizing Features for Fast Video Object Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly-Supervised Salient Object Detection Using Point Supervison.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Points As Queries: Weakly Semi-Supervised Object Detection by Points.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Cluster-level Feature Alignment for Person Re-identification.
CoRR, 2020

Automatic Image Labelling at Pixel Level.
CoRR, 2020

TCMINet: Face Parsing for Traditional Chinese Medicine Inspection via a Hybrid Neural Network With Context Aggregation.
IEEE Access, 2020

Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Embedding Complementary Deep Networks for Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Embedding Visual Hierarchy With Deep Networks for Large-Scale Visual Recognition.
IEEE Trans. Image Process., 2018

Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing.
IEEE Trans. Inf. Forensics Secur., 2018

A Controllable Efficient Content Distribution Framework Based on Blockchain and ISODATA.
Proceedings of the 17th IEEE International Conference On Trust, 2018

A Privacy-Preserving Multipurpose Watermarking Scheme for Audio Authentication and Protection.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Encrypted Domain Mel-Frequency Cepstral Coefficient and Fragile Audio Watermarking.
Proceedings of the 17th IEEE International Conference On Trust, 2018

2017
DeepSkeleton: Skeleton Map for 3D Human Pose Regression.
CoRR, 2017

Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition.
CoRR, 2017

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition.
CoRR, 2017

2016
Model-Based Deep Hand Pose Estimation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Multiple Granularity Descriptors for Fine-Grained Categorization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly supervised semantic segmentation for social images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Sparse Reconstruction for Weakly Supervised Semantic Segmentation.
Proceedings of the IJCAI 2013, 2013

Multi-View Embedding Learning for Incompletely Labeled Data.
Proceedings of the IJCAI 2013, 2013

2012
Learning attention map from images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Semantic context learning with large-scale weakly-labeled image set.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Automatic image annotation with weakly labeled dataset.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Multi-Kernel Multi-Label Learning with Max-Margin Concept Network.
Proceedings of the IJCAI 2011, 2011

Correlative multi-label multi-instance image annotation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Salient Object Detection using concavity context.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2008
Metric learning by discriminant neighborhood embedding.
Pattern Recognit., 2008

Fudan University at TRECVID 2008.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

2007
Optimal dimensionality of metric space for classification.
Proceedings of the Machine Learning, 2007

Efficient Feature Extraction for Image Classification.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Discriminant neighborhood embedding for classification.
Pattern Recognit., 2006

Quotient Set-based Nonlinear Manifold for Image Restoration.
Proceedings of the Ninth International Conference on Control, 2006

2005
Fudan University at TRECVID 2005.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005


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