Ziyuan Huang

National University of Singapore (NUS)

Singapore

Research Interests

Explore related searches

Professors in Computer Vision

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (9)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (2)

Ziang Cao

Nanyang Technological University

SINGAPORE

View details

Marcelo Ang

Associate Professor

National University of Singapore (NUS)

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ziyuan Huang

Research Interests

Explore related searches

Contact this professor

Articles (9)

GCM: Efficient video recognition with glance and combine module

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning

MAR: <underline>M</underline>asked Autoencoders for Efficient <underline>A</underline>ction <underline>R</underline>ecognition

Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency

Towards Real-World Visual Tracking with Temporal Contexts

Exploring Language Hierarchy for Video Grounding

Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Online collaboration-based visual tracking for unmanned aerial vehicle with spatial-to-semantic information and multi-recommender voting.

Collaborators (2)

Ziang Cao

Marcelo Ang

Make your next move.

Ziyuan Huang

Research Interests

Explore related searches

Contact this professor

Articles (9)

GCM: Efficient video recognition with glance and combine module

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning

MAR: &lt;underline&gt;M&lt;/underline&gt;asked Autoencoders for Efficient &lt;underline&gt;A&lt;/underline&gt;ction &lt;underline&gt;R&lt;/underline&gt;ecognition

Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency

Towards Real-World Visual Tracking with Temporal Contexts

Exploring Language Hierarchy for Video Grounding

Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Online collaboration-based visual tracking for unmanned aerial vehicle with spatial-to-semantic information and multi-recommender voting.

Collaborators (2)

Ziang Cao

Marcelo Ang

Make your next move.

MAR: <underline>M</underline>asked Autoencoders for Efficient <underline>A</underline>ction <underline>R</underline>ecognition