activity
20192026
most citedCOIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

14 citations · 25 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting

Fanye Kong, Hongyu Xia, Yu Zheng +3

Recent advances in deep learning have notably improved steganographic message hiding. However, designing a generalizable steganographic approach for 3D Gaussian Splatting (3DGS) th…

cs.AI2026

EmergentBridge: Improving Zero-Shot Cross-Modal Transfer in Unified Multimodal Embedding Models

Jincheng Xie, Xingchen Xiao, Runheng Liu +3

Unified multimodal embedding spaces underpin practical applications such as cross-modal retrieval and zero-shot recognition. In many real deployments, however, supervision is avail…

cs.CV2026

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection

Yanran Zhang, Wenzhao Zheng, Yifei Li +5

In recent years, significant progress has been made in both image generation and generated image detection. Despite their rapid, yet largely independent, development, these two fie…

cs.CL2026

More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection

Runze Sun, Yu Zheng, Zexuan Xiong +4

Combating hate speech on social media is critical for securing cyberspace, yet relies heavily on the efficacy of automated detection systems. As content formats evolve, hate speech…

cs.CV2026

Attention at Rest Stays at Rest: Breaking Visual Inertia to Mitigate Relation Hallucinations

Boyang Gong, Yu Zheng, Fanye Kong +2

While multimodal large language models demonstrate strong entity-level perception, faithfully grounding relational interactions between objects remains a persistent challenge. Alth…

cs.CV2026

Structural Graph Probing of Vision-Language Models

Haoyu He, Yue Zhuo, Yu Zheng +1

Vision-language models (VLMs) achieve strong multimodal performance, yet how computation is organized across populations of neurons remains poorly understood. In this work, we stud…

cs.CV2026

Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation

Weijia Dou, Wenzhao Zheng, Weiliang Chen +3

Recent generative models can produce high-fidelity videos, yet they often exhibit 3D spatial geometric inconsistencies. Existing evaluation methods fail to accurately characterize…