activity
20242026
collaborators

18 papers

cs.CV2026

StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching

Bui Van Hung, Dang Thanh Vu, Hoang-Son Vo +3

The inherent variability of fMRI responses across trials encourages a generative view of the stimulus-to-response mapping. Prior generative encoders often operate in compressed lat…

cs.CV2026

EvolvingAvatar: Interactive 3D Head Generation That Adapts as Conversations Unfold

Junjie Chen, Fei Wang, Kun Li +5

Interactive 3D head generation requires coordinated speaking and listening motion that responds to an evolving conversation. Existing generators use incoming observations as contex…

cs.MM2026

Task-disentangled Low-Rank Adaptation for Versatile Audio-visual Multi-modal Learning Tasks within a Unified Framework

Hanyu Xuan, Mengqi Zhang, Junjun Mao +5

Inspired by human multi-modal perception, Audio-Visual Multi-Modal Learning (AVMML) integrates auditory and visual information to leverage complementary cross-modal cues, enabling…

cs.AI2026

RRS-10K: A Multitask Vision-Language Model Benchmark for Rare Remote Sensing Image Interpretation

Yuqiao Lai, Jiancheng Qi, Fei Wang +5

Vision-language models (VLMs) have achieved strong performance on general remote sensing tasks. However, their capability for rare scenes remains insufficiently understood, because…

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

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

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…

cs.CV2026

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models

Xinye Zheng, Fei Wang, Yiqi Nie +5

Reconstructing 3D scenes from smoke-degraded multi-view images is particularly difficult because smoke introduces strong scattering effects, view-dependent appearance changes, and…

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.CV2026

MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisal

Yiqi Nie, Fei Wang, Junjie Chen +5

Memes represent a tightly coupled, multimodal form of social expression, in which visual context and overlaid text jointly convey nuanced affect and commentary. Inspired by cogniti…

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

Online Micro-gesture Recognition Using Data Augmentation and Spatial-Temporal Attention

Pengyu Liu, Kun Li, Fei Wang +3

In this paper, we introduce the latest solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track of the IJCAI 2025 MiGA Challenge. The Micro-gesture…

cs.CV2025

MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion

Jihao Gu, Fei Wang, Kun Li +3

In this paper, we present MM-Gesture, the solution developed by our team HFUT-VUT, which ranked 1st in the micro-gesture classification track of the 3rd MiGA Challenge at IJCAI 202…

cs.CV2025

Motion Matters: Motion-guided Modulation Network for Skeleton-based Micro-Action Recognition

Jihao Gu, Kun Li, Fei Wang +4

Micro-Actions (MAs) are an important form of non-verbal communication in social interactions, with potential applications in human emotional analysis. However, existing methods in…

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.SD2024

Temporal-Frequency State Space Duality: An Efficient Paradigm for Speech Emotion Recognition

Jiaqi Zhao, Fei Wang, Kun Li +4

Speech Emotion Recognition (SER) plays a critical role in enhancing user experience within human-computer interaction. However, existing methods are overwhelmed by temporal domain…