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cs.CV2026

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…

cs.CV2026

ProFocus: Interpreting Affective Experience in Artistic Images with Progressive Visual Focusing

Zhiyan Zhang, Zicheng Yan, Jianqi Chen +3

Interpreting the emotional responses triggered by images is central to achieving emotional intelligence. Compared with natural images, visual art is intentionally created to elicit…

cs.CV2026

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset

Zhiyan Zhang, Peipei Song, Jinpeng Hu +3

Video emotion analysis is typically framed as a static classification problem, treating each clip as an independent labeled unit. However, such a formulation overlooks a key psycho…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark

Jinpeng Hu, Hongchang Shi, Chongyuan Dai +3

Multimodal large language models (MLLMs) have been widely applied across various fields due to their powerful perceptual and reasoning capabilities. In the realm of psychology, the…