activity
20242026
collaborators

10 papers

cs.CV2026

TextGaze: Prompting Gaze Target Estimation with Textual Scene Cues

Junhui She, Fei Wang, Kun Li +4

Gaze target estimation aims to infer the position of a person's gaze within a scene. Within mainstream design logic, multi-branch methods require extra supervision and annotations,…

cs.CV2026

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs

Yuxin Liu, Fei Wang, Kun Li +4

Image Deepfake Detection (IDD) separates manipulated images from authentic ones by spotting artifacts of synthesis or tampering. Although large vision-language models (LVLMs) offer…

cs.CV2026

Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization

Cailing Han, Zhangbin Li, Jinxing Zhou +5

Point-level weakly-supervised temporal sentiment localization (P-WTSL) aims to detect sentiment-relevant segments in untrimmed multimodal videos using timestamp sentiment annotatio…

cs.IR2026

Modeling Stage-wise Evolution of User Interests for News Recommendation

Zhiyong Cheng, Yike Jin, Zhijie Zhang +3

Personalized news recommendation is highly time-sensitive, as user interests are often driven by emerging events, trending topics, and shifting real-world contexts. These dynamics…

cs.CL2026

DELTA: Deliberative Multi-Agent Reasoning with Reinforcement Learning for Multimodal Psychological Counseling

Jiangnan Yang, Junjie Chen, Fei Wang +4

Psychological counseling is a fundamentally multimodal cognitive process in which clinicians integrate verbal content with visual and vocal cues to infer clients' mental states and…

cs.AI2025

Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning

Zhen Zeng, Leijiang Gu, Zhangling Duan +4

Multimodal large language models (MLLMs) can inadvertently memorize privacy-sensitive information during training. While existing unlearning methods can remove such content, they o…

cs.CV2025

Training-Free Multimodal Deepfake Detection via Graph Reasoning

Yuxin Liu, Fei Wang, Kun Li +5

Multimodal deepfake detection (MDD) aims to uncover manipulations across visual, textual, and auditory modalities, thereby reinforcing the reliability of modern information systems…

cs.CV2025

CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization

Jinxing Zhou, Ziheng Zhou, Yanghao Zhou +3

The Dense Audio-Visual Event Localization (DAVEL) task aims to temporally localize events in untrimmed videos that occur simultaneously in both the audio and visual modalities. Thi…

cs.CV2025

Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition

Fei Wang, Kun Li, Yiqi Nie +5

In this paper, we present our solution to the Cross-View Isolated Sign Language Recognition (CV-ISLR) challenge held at WWW 2025. CV-ISLR addresses a critical issue in traditional…

cs.CV2024

Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models

Zhen Zeng, Leijiang Gu, Xun Yang +3

Knowledge editing aims to efficiently and cost-effectively correct inaccuracies and update outdated information. Recently, there has been growing interest in extending knowledge ed…