Wei Tang

Orcid: 0000-0001-8879-8325

Affiliations:
  • University of Illinois, Department of Computer Science, Chicago, IL, USA
  • Northwestern University, Evanston, IL, USA (PhD 2019)
  • Beihang University, School of Astronautics, Image Processing Center, Beijing, China (former)


According to our database1, Wei Tang authored at least 48 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification.
Pattern Recognit., January, 2024

Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection.
IEEE Trans. Multim., 2024

Towards Generalizable Multi-Object Tracking.
CoRR, 2024

Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes.
CoRR, 2024

2023
Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

ContextLoc++: A Unified Context Model for Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Exploring Action Centers for Temporal Action Localization.
IEEE Trans. Multim., 2023

Instance Motion Tendency Learning for Video Panoptic Segmentation.
IEEE Trans. Image Process., 2023

Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Stream Representation Learning for Pedestrian Trajectory Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Action Coherence Network for Weakly-Supervised Temporal Action Localization.
IEEE Trans. Multim., 2022

Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement.
IEEE Trans. Circuits Syst. Video Technol., 2022

Dual relation network for temporal action localization.
Pattern Recognit., 2022

Loss functions for pose guided person image generation.
Pattern Recognit., 2022

Exploiting appearance transfer and multi-scale context for efficient person image generation.
Pattern Recognit., 2022

Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Disentangled Classification and Localization Representations for Temporal Action Localization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Giant Panda Identification.
IEEE Trans. Image Process., 2021

Graph-based temporal action co-localization from an untrimmed video.
Neurocomputing, 2021

Modulated Graph Convolutional Network for 3D Human Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Enriching Local and Global Contexts for Temporal Action Localization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Compositional Graph Convolutional Networks for 3D Human Pose Estimation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Exploit Visual Dependency Relations for Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

High-order Graph Convolutional Networks for 3D Human Pose Estimation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Loss Functions for Person Image Generation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Does Learning Specific Features for Related Parts Help Human Pose Estimation?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Compositional Textual Model for Recognition of Imperfect Word Images.
CoRR, 2018

Deeply Learned Compositional Models for Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Towards a Unified Compositional Model for Visual Pattern Modeling.
Proceedings of the IEEE International Conference on Computer Vision, 2017

How to Train a Compact Binary Neural Network with High Accuracy?
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Collaborative sparse unmixing of hyperspectral data using L2, P norm.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Robust Hyperspectral Image Target Detection Using an Inequality Constraint.
IEEE Trans. Geosci. Remote. Sens., 2015

Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
Regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2014

Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2014

Single Remote Sensing Image Dehazing.
IEEE Geosci. Remote. Sens. Lett., 2014


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