Song Wang

Professor

University of South Carolina

United States

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About

Professor Song Wang is a faculty member at the University of South Carolina, USA. His research interests focus on advanced topics in computer vision and machine learning, including person re-identification, multi-view human association, and unsupervised domain adaptation. Currently, he is exploring innovative approaches to image processing and object tracking, as evidenced by his recent publications.

Articles (15)

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2025

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2022

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2022

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Song Wang

Research Interests

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About

Articles (15)

Occluded person re-identification with feature complement and dual attention

A New Benchmark and Algorithm for Clothes-Changing Video Person Re-Identification

Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations

Unveiling the Power of Self-Supervision for Multi-View Multi-Human Association and Tracking

Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity

Multi-Stage Edge-Guided Stereo Feature Interaction Network for Stereoscopic Image Super-Resolution

Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images

Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery

Recognizing Micro Actions in Videos by Learning Multi-Layer Local Features

Visual Attention Consistency for Human Attribute Recognition

ATLANTIS: A benchmark for semantic segmentation of waterbody images

Deep Domain Adaptation Based Multi-Spectral Salient Object Detection

Deep Learning for Object Detection in Materials-Science Images: A tutorial

Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation

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