170 citations · 305 across the 42 of their papers we have counts for
46 papers
SocialCoAct: Enabling and Benchmarking Egocentric Social Co-Action for VLM-Based Humanoid Robots
Jiancong Ma, Kun Li, Jin Jiang +1
Enabling humanoid robots to participate effectively in social interactions is important for their integration into human-centered environments. Existing methods, however, typically…
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…
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…
MAC 2026: Advancing Micro-Action Analysis Towards Fine-Grained Understanding
Kun Li, Dan Guo, Jihao Gu +6
Micro-Actions (MAs) are subtle and spontaneous human behaviors that provide important non-verbal cues in social interaction and affective communication. However, their short durati…
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…
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,…
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…
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…
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…
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…
Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation
Fei Wang, Xinye Zheng, Kun Li +5
Predicting enzyme kinetic parameters quantifies how efficiently an enzyme catalyzes a specific substrate under defined biochemical conditions. Canonical parameters such as the turn…
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…
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…
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…
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…
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…
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
Zhaolin Hu, Kun Li, Hehe Fan +1
Linear attention mechanisms have emerged as efficient alternatives to full self-attention in Graph Transformers, offering linear time complexity. However, existing linear attention…
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…
Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning
Long Zhang, Peipei Song, Jianfeng Dong +2
Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos partially relevant to a given query. The core challenge lies in learning robust query-video alignment ag…
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…
Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Mengyu Wang, Zhenyu Liu, Kun Li +4
Multimodal Image Fusion (MMIF) aims to integrate complementary information from different imaging modalities to overcome the limitations of individual sensors. It enhances image qu…
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…
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…
The Tenth NTIRE 2025 Image Denoising Challenge Report
Lei Sun, Hang Guo, Bin Ren +91
This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…