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Zhiyong Wang

Associate Professor

University of Sydney

Australia

Research Interests

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About

Dr. Zhiyong Wang is an Associate Professor at The University of Sydney, Australia. His research areas encompass knowledge distillation, medical image segmentation, self-supervised learning, and video action recognition. He has published recent articles focusing on innovative techniques for depth super-resolution and multimodal summarization of news videos.

Articles (28)

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Collaborators (11)

Michael J. Walsh

University of Sydney

AUSTRALIA

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Muthukumar V. Bagavathiannan

UNITED STATES

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Yi Guo

University of Western Sydney

AUSTRALIA

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Wei Li

University of Sydney

AUSTRALIA

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Dong Yuan

University of Sydney

AUSTRALIA

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Nathan Boyd

Associate Professor

University of Florida

UNITED STATES

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Kaylena A. Ehgoetz Martens

CANADA

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Thomas Bishop

University of Sydney

AUSTRALIA

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Markus Hagenbuchner

Associate Professor

University of Wollongong

AUSTRALIA

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Jiebo Luo

Professor

University of Rochester

UNITED STATES

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Xiatian Zhu

Senior Lecturer

University of Surrey

UNITED KINGDOM

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Zhiyong Wang

Research Interests

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About

Articles (28)

OccM3D-SS: Bridging Sparse Supervision With Dense 3D Perception via Semi-Supervised Occupancy Learning

The prevalence of varus thrust: A systematic review and meta-analysis

OrthoEraser: Coupled-Neuron Orthogonal Projection for Concept Erasure

ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing

RGS: A Unified Representation-Generation-Selection Framework for Knowledge-Based Visual Question Answering

UniAlign: A Universal Cross-Modality Knowledge Alignment Framework for Fine-Grained Action Recognition

Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification

Harnessing Text Insights with Visual Alignment for Medical Image Segmentation

Toward an Effective Action-Region Tracking Framework for Fine-Grained Video Action Recognition

Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction

Dual-Attention Transformers for Class-Incremental Learning: A Tale of Two Memories

Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging

Referring Video Object Segmentation With Cross-Modality Proxy Queries

Frameless Graph Knowledge Distillation

Joint Video Denoising and Super-Resolution Network for IoT Cameras

Digging into Depth and Color Spaces: A Mapping Constraint Network for Depth Super-Resolution

TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup

Discriminative Segment Focus Network for Fine-grained Video Action Recognition

Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection

A Sparse Framework for Robust Possibilistic K-Subspace Clustering

Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection

Cascade Multi-Level Transformer Network for Surgical Workflow Analysis

Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection

TLDW: Extreme Multimodal Summarisation of News Videos

Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems

Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction

Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation

Vision-Enhanced and Consensus-Aware Transformer for Image Captioning

Collaborators (11)

Michael J. Walsh

Muthukumar V. Bagavathiannan

Yi Guo

Wei Li

Dong Yuan

Nathan Boyd

Kaylena A. Ehgoetz Martens

Thomas Bishop

Markus Hagenbuchner

Jiebo Luo

Xiatian Zhu

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