11 citations · 12 across the 15 of their papers we have counts for
12 papers · 1 filter
FoveaTree: Information-Density Trees for Query-Guided Visual Token Pruning in Video Large Language Models
Zihan Meng, Weidong Chen, Dexiang Hong +2
Video large language models (Video LLMs) encode each frame into hundreds of visual tokens, making video inference expensive. Existing methods reduce this cost through similarity-ba…
Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning
Cheng Ye, Weidong Chen, Zhaobo Qi +2
While multimodal large language models (MLLMs) have demonstrated exceptional capabilities in objective understanding tasks, their performance in affective reasoning still falls sig…
Causal-EVC: Breaking Emotional Spurious Causality via Spatiotemporal Grounding and Counterfactual Intervention
Cheng Ye, Weidong Chen, Peipei Song +1
Emotional Video Captioning aims to generate factually accurate and emotionally empathetic descriptions. While recent methods have recognized the importance of visual causes to guid…
DSPO: Diversity-aware Subjective Policy Optimization for Robust Emotional Reasoning
Cheng Ye, Weidong Chen, Bingyan Xu +1
Reinforcement Learning has significantly advanced the complex reasoning capabilities of MLLMs. However, prevailing RL algorithms suffer a severe failure in emotion reasoning tasks.…
HTT-Net: Hierarchical Text-guided Transition Modeling for Surgical Video Phase Recognition
Kunjie Deng, Jinghui Zhang, Weidong Chen +4
Surgical video phase recognition is a fundamental task in computer-assisted intervention, supporting workflow understanding, intraoperative guidance, and surgical quality assessmen…
Geometry-aware Gaussian Prior and Axial Attention for Cervical Cytology Image Classification
Yating Li, Cheng Ye, Nenan Lyu +2
Accurate cervical cytology image classification is a key component of automated cervical cancer screening, where reliable recognition of normal, precancerous, and cancer-associated…
EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation
Dexiang Hong, Yijie Guo, Weidong Chen +4
Emotion-aware artistic image generation requires an image to match the input prompt, follow the specified artistic style, and convey the target emotion. In this challenge, the main…
Audio-Visual Exchange-Aware Token Pruning for Efficient Audio-Visual Captioning
Zihan Meng, Dexiang Hong, Weidong Chen +3
Audio-visual captioning generates natural language descriptions from video and audio content. Multimodal LLMs have advanced this task, but both modalities contribute many tokens to…
Towards Accurate Emotion-Attributed Video Captioning via Fine-grained Emotion-Cause Pair Extraction
Weidong Chen, Cheng Ye, Zhendong Mao +3
Emotional Video Captioning (EVC) is a challenging task that aims to generate factually accurate and emotionally rich descriptions for videos. Existing EVC methods leverage holistic…
A Multi-Agent Framework with Structured Reasoning and Reflective Refinement for Multimodal Empathetic Response Generation
Liping Wang, Cheng Ye, Weidong Chen +3
Multimodal empathetic response generation (MERG) aims to generate emotionally engaging and empathetic responses based on users' multimodal contexts. Existing approaches usually rel…
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
Weidong Chen, Dexiang Hong, Zhendong Mao +4
Graphic design images consist of multiple editable layers, such as text, background, and decorative elements, while most generative models produce rasterized outputs without explic…
FACE-net: Factual Calibration and Emotion Augmentation for Retrieval-enhanced Emotional Video Captioning
Weidong Chen, Cheng Ye, Zhendong Mao +5
Emotional Video Captioning (EVC) is an emerging task, which aims to describe factual content with the intrinsic emotions expressed in videos. Existing works perceive global emotion…