activity
20152026
most citedSpatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation

58 citations · 106 across the 28 of their papers we have counts for

collaborators

44 papers

cs.CV2026

RADIANCE: Relative Adaptive Denoising with IP-Adapter for Novel Concept Enhancement

Zi-Xiang Ni, Bo-Lun Huang, Teng-Fang Hsiao +2

Text-to-image (T2I) diffusion models have achieved striking progress but still struggle to synthesize rare concepts involving unusual attribute-object pairings, often resulting in…

cs.CV2026

IDAG-Edit: Multi-Object Video Editing via Instance-Decoupled Attention and Guidance

Yuan-Zhih Lin, Huu-Thang Nguyen, Huu-Phu Do +2

Diffusion-based video editing has made significant progress; however, achieving precise and temporally consistent object-level control, especially in multi-object scenarios, remain…

cs.CL2026

HyperPatch: Sequential Knowledge Editing Under n-ary Structural Drift

Yu-Kai Chan, Wen-Sheng Lien, Dong-Ting Yao +4

Large Language Models (LLMs) rely on Knowledge Editing (KE) to maintain temporal validity, yet real-world knowledge is inherently n-ary. We demonstrate that in non-stationary envir…

cs.CL2026

HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation

Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao +5

Graph-based retrieval-augmented generation (RAG) methods, typically built on knowledge graphs (KGs) with binary relational facts, have shown promise in multi-hop open-domain QA. Ho…

cs.CV2025

CookAnything: A Framework for Flexible and Consistent Multi-Step Recipe Image Generation

Ruoxuan Zhang, Bin Wen, Hongxia Xie +5

Cooking is a sequential and visually grounded activity, where each step such as chopping, mixing, or frying carries both procedural logic and visual semantics. While recent diffusi…

cs.CV2025

COACH: Collaborative Agents for Contextual Highlighting -- A Multi-Agent Framework for Sports Video Analysis

Tsz-To Wong, Ching-Chun Huang, Hong-Han Shuai

Intelligent sports video analysis demands a comprehensive understanding of temporal context, from micro-level actions to macro-level game strategies. Existing end-to-end models oft…