8 citations · 20 across the 15 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
Fan Zhang, Wei Qin, Weijieying Ren +3
In the real-world setting, data often follows a long-tailed distribution, where head classes contain significantly more training samples than tail classes. Consequently, models tra…
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song, Zhenzhen Hu, Richang Hong
Unsupervised representation learning for image clustering is essential in computer vision. Although the advancement of visual models has improved image clustering with efficient vi…