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12 papers · 1 filter

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…