activity
20242026
most citedVAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection

8 citations · 18 across the 18 of their papers we have counts for

collaborators

22 papers

cs.CV2026

Beyond Exact Match: Task-Aware GRPO for Cross-Domain PCBA Visual Question Answering

Jia Li, Li Dai, Peng Jia +4

In automated Printed Circuit Board Assembly (PCBA) inspection, standards-guided decisions require systems to jointly reason over fine-grained visual cues, component semantics, and…

cs.CV2026

CETalk: Continuous Valence-Arousal Control for Audio-Driven 3D Talking Head Generation

Peng Jia, Li Dai, Zhen Xiao +2

Emotional 3D talking head generation aims to synthesize expressive facial animations with accurate lip synchronization. However, existing methods often rely on discrete emotion cat…

cs.SD2026

Missing-Token Prompted Reliability-Aware Fusion for Robust Polyglot Speaker Identification

Peng Jia, Li Dai, Jia Li +3

Accurate and robust multimodal speaker identification is essential for multimedia understanding and biometric authentication. However, real-world polyglot scenarios pose two key ch…

cs.CV2026

Traits Run Deeper: Trait-Specific Asymmetric Fusion for Multimodal Personality Assessment

Jia Li, Qian Chen, Wei Wang +5

Personality assessment aims to infer stable traits from dynamic behaviors across modalities like language, voice, and facial expressions. Existing approaches often adopt a uniform…

cs.CV2026

SDTalk: Structured Facial Priors and Dual-Branch Motion Fields for Generalizable Gaussian Talking Head Synthesis

Peng Jia, Zhen Xiao, Jia Li +3

High-quality, real-time talking head synthesis remains a fundamental challenge in computer vision. Existing reconstruction- and rendering-based methods typically rely on identity-s…

cs.MM2026

To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition

Yangchen Yu, Qian Chen, Jia Li +5

Multimodal emotion recognition (MER) benefits from combining text, audio, and vision, yet standard fusion often fails when modalities conflict. Crucially, conflicts differ in resol…

cs.CV2026

Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets

Jia Li, Yu Zhang, Yin Chen +5

Facial action unit (AU) detection and facial expression (FE) recognition can be jointly viewed as affective facial behavior tasks, representing fine-grained muscular activations an…

cs.CV2025

Disentangling Foreground and Background for vision-Language Navigation via Online Augmentation

Yunbo Xu, Xuesong Zhang, Jia Li +2

Following language instructions, vision-language navigation (VLN) agents are tasked with navigating unseen environments. While augmenting multifaceted visual representations has pr…

cs.MM2025

CLAIP-Emo: Parameter-Efficient Adaptation of Language-supervised models for In-the-Wild Audiovisual Emotion Recognition

Yin Chen, Jia Li, Jinpeng Hu +2

Audiovisual emotion recognition (AVER) in the wild is still hindered by pose variation, occlusion, and background noise. Prevailing methods primarily rely on large-scale domain-spe…

cs.CV2025

Generalizable Engagement Estimation in Conversation via Domain Prompting and Parallel Attention

Yangche Yu, Yin Chen, Jia Li +6

Accurate engagement estimation is essential for adaptive human-computer interaction systems, yet robust deployment is hindered by poor generalizability across diverse domains and c…

cs.CL2025

Listening to the Unspoken: Exploring "365" Aspects of Multimodal Interview Performance Assessment

Jia Li, Yang Wang, Wenhao Qian +4

Interview performance assessment is essential for determining candidates' suitability for professional positions. To ensure holistic and fair evaluations, we propose a novel and co…

cs.CL2025

Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors

Jia Li, Yichao He, Jiacheng Xu +4

Accurate and reliable personality assessment plays a vital role in many fields, such as emotional intelligence, mental health diagnostics, and personalized education. Unlike fleeti…

cs.CV2025

Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval

Jian Xiao, Zijie Song, Jialong Hu +4

Recent progress in text-video retrieval has been largely driven by contrastive learning. However, existing methods often overlook the effect of the modality gap, which causes ancho…

cs.MM2025★ 1 cited

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

Wenhao Qian, Zhenzhen Hu, Zijie Song +1

Metaphorical imagination, the ability to connect seemingly unrelated concepts, is fundamental to human cognition and communication. While understanding linguistic metaphors has adv…

cs.CV2025★ 8 cited

VAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection

Hao Cheng, Zhiwei Zhao, Yichao He +4

Audiovisual emotion recognition (AVER) aims to infer human emotions from nonverbal visual-audio (VA) cues, offering modality-complementary and language-agnostic advantages. However…

cs.CV2025★ 2 cited

Video Flow as Time Series: Discovering Temporal Consistency and Variability for VideoQA

Zijie Song, Zhenzhen Hu, Yixiao Ma +2

Video Question Answering (VideoQA) is a complex video-language task that demands a sophisticated understanding of both visual content and temporal dynamics. Traditional Transformer…

cs.CV2025

PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition

Kai Cui, Jia Li, Yu Liu +3

Electroencephalography (EEG) signals provide a promising and involuntary reflection of brain activity related to emotional states, offering significant advantages over behavioral c…

cs.CV2024★ 1 cited

Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation

Xuesong Zhang, Yunbo Xu, Jia Li +2

Navigating unseen environments from natural language instructions remains challenging for egocentric agents in Vision-and-Language Navigation (VLN). Humans naturally ground concret…

cs.HC2024

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation

Jia Li, Yangchen Yu, Yin Chen +6

Engagement estimation plays a crucial role in understanding human social behaviors, attracting increasing research interests in fields such as affective computing and human-compute…

cs.CV2024

Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval

Jian Xiao, Zhenzhen Hu, Jia Li +1

Text-video retrieval (TVR) has seen substantial advancements in recent years, fueled by the utilization of pre-trained models and large language models (LLMs). Despite these advanc…

cs.CV2024★ 6 cited

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

Yin Chen, Jia Li, Yu Zhang +4

Dynamic facial expression recognition (DFER) infers emotions from the temporal evolution of expressions, unlike static facial expression recognition (SFER), which relies solely on…

cs.CV2024

Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations

Xuesong Zhang, Jia Li, Yunbo Xu +2

Autonomous navigation guided by natural language instructions in embodied environments remains a challenge for vision-language navigation (VLN) agents. Although recent advancements…