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20242026
most citedLLMs are Good Sign Language Translators

3 citations · 4 across the 34 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

Learning to Generate Cross-Task Unexploitable Examples

Haoxuan Qu, Qiuchi Xiang, Yujun Cai +4

Unexploitable example generation aims to transform personal images into their unexploitable (unlearnable) versions before they are uploaded online, thereby preventing unauthorized…

cs.CV2025

TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action Recognition

Yanan Liu, Jun Liu, Hao Zhang +4

Skeleton-based action recognition has garnered significant attention in the computer vision community. Inspired by the recent success of the selective state-space model (SSM) Mamba…

cs.CV2025

Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation

Jingmin Zhu, Anqi Zhu, Hossein Rahmani +3

We introduce Skeleton-Cache, the first training-free test-time adaptation framework for skeleton-based zero-shot action recognition (SZAR), aimed at improving model generalization…

cs.CV2025★ 1 cited

DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition

Jingmin Zhu, Anqi Zhu, James Bailey +5

Zero-shot skeleton-based action recognition (ZS-SAR) is fundamentally constrained by prevailing approaches that rely on aligning skeleton features with static, class-level semantic…

cs.AI2025

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios

Bingxi Zhao, Lin Geng Foo, Ping Hu +3

Recent advances in LLM-based agents highlight the importance of their reasoning frameworks, which guide the problem-solving process in diverse ways. This survey introduces a unifie…

cs.CV2025

A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction

Haoxuan Qu, Yujun Cai, Hossein Rahmani +3

Recently, Gaussian Splatting (GS) has received a lot of attention in surface reconstruction. However, while 3D objects can be of complex and diverse shapes in the real world, exist…

cs.CV2025

TSTMotion: Training-free Scene-aware Text-to-motion Generation

Ziyan Guo, Haoxuan Qu, Hossein Rahmani +4

Text-to-motion generation has recently garnered significant research interest, primarily focusing on generating human motion sequences in blank backgrounds. However, human motions…

cs.CV2025

LongDiff: Training-Free Long Video Generation in One Go

Zhuoling Li, Hossein Rahmani, Qiuhong Ke +1

Video diffusion models have recently achieved remarkable results in video generation. Despite their encouraging performance, most of these models are mainly designed and trained fo…

cs.CV2025

An Image-like Diffusion Method for Human-Object Interaction Detection

Xiaofei Hui, Haoxuan Qu, Hossein Rahmani +1

Human-object interaction (HOI) detection often faces high levels of ambiguity and indeterminacy, as the same interaction can appear vastly different across different human-object p…