collaborators

9 papers

cs.CV2025

Object-Centric Framework for Video Moment Retrieval

Zongyao Li, Yongkang Wong, Satoshi Yamazaki +2

Most existing video moment retrieval methods rely on temporal sequences of frame- or clip-level features that primarily encode global visual and semantic information. However, such…

cs.CV2025

MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer

Zenghao Chai, Chen Tang, Yongkang Wong +2

3D pose transfer aims to transfer the pose-style of a source mesh to a target character while preserving both the target's geometry and the source's pose characteristic. Existing m…

cs.CR2024

Technical Report for ICML 2024 TiFA Workshop MLLM Attack Challenge: Suffix Injection and Projected Gradient Descent Can Easily Fool An MLLM

Yangyang Guo, Ziwei Xu, Xilie Xu +3

This technical report introduces our top-ranked solution that employs two approaches, \ie suffix injection and projected gradient descent (PGD) , to address the TiFA workshop MLLM…

cs.CV2024

STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting

Zenghao Chai, Chen Tang, Yongkang Wong +1

The creation of 4D avatars (i.e., animated 3D avatars) from text description typically uses text-to-image (T2I) diffusion models to synthesize 3D avatars in the canonical space and…

cs.CV2024

Bridging the Intent Gap: Knowledge-Enhanced Visual Generation

Yi Cheng, Ziwei Xu, Dongyun Lin +5

For visual content generation, discrepancies between user intentions and the generated content have been a longstanding problem. This discrepancy arises from two main factors. Firs…

cs.CV2024

TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment

Wei Li, Hehe Fan, Yongkang Wong +2

Recent advancements in image understanding have benefited from the extensive use of web image-text pairs. However, video understanding remains a challenge despite the availability…