collaborators

10 papers

cs.CV2026

Rethinking the Role of Feature Engineering and Learning Strategies in Few-Shot Hidden Emotion Recognition

Xiaochuan Guo, Jihao Gu, Haixu Liu +6

In this paper, we present the solution developed by our team, XInsight Lab, which achieved first place in Track 3 of the 4th EI-MIGA-IJCAI Challenge with a test accuracy of 0.76923…

cs.CV2026

Self-supervised Learning Matters: A Simple Ensemble Solution for Micro-Gesture Recognition

Tingyi Liu, Kun Li, Fei Wang +5

In this paper, we present XInsight Lab's solution to the micro-gesture classification track of the 4th MiGA Challenge at IJCAI 2026, in which our solution ranked first and achieved…

cs.CV2026

Spatial-Temporal Decoupled Adapter for Micro-gesture Online Recognition

Xucheng Shen, Kun Li, Fei Wang +3

Micro-gesture online recognition aims to temporally localize and classify subtle gestures in untrimmed videos. Owing to their extremely short duration, low motion amplitude, and am…

cs.CV2026

MA-Bench: Towards Fine-grained Micro-Action Understanding

Kun Li, Jihao Gu, Fei Wang +3

With the rapid development of Multimodal Large Language Models (MLLMs), their potential in Micro-Action understanding, a vital role in human emotion analysis, remains unexplored du…

cs.HC2026

XInsight: Integrative Stage-Consistent Psychological Counseling Support Agents for Digital Well-Being

Fei Wang, Jiangnan Yang, Junjie Chen +5

Web-based platforms are becoming a primary channel for psychological support, yet most LLM-driven chatbots remain opaque, single-stage, and weakly grounded in established therapeut…

cs.CV2025

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…