23 citations · 47 across the 24 of their papers we have counts for
9 papers · 1 filter
What Can I Edit? Open-Ended Strategy Discovery and the Emotion Editability Landscape
Qing Li, Zeyu Dong, Yin Cui +2
Emotional image editing requires more than applying affective filters or modifying predefined visual factors: an effective edit must identify what a particular image can afford for…
AffectVerse: Emotional World Models for Multimodal Affective Computing
Bo Zhao, Fanghua Ye, Yixin Ji +3
Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, o…
Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding
Xiaojiang Peng, Jingyi Chen, Zebang Cheng +11
Understanding human emotions from multimodal signals poses a significant challenge in affective computing and human-robot interaction. While multimodal large language models (MLLMs…
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
Fan Zhang, Zebang Cheng, Chong Deng +18
Recent advances in multimodal large language models (MLLMs) have catalyzed transformative progress in affective computing, enabling models to exhibit emergent emotional intelligenc…
Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversations
Xinran Li, Xiaomao Fan, Qingyang Wu +2
Emotion Recognition in Conversations (ERCs) is a vital area within multimodal interaction research, dedicated to accurately identifying and classifying the emotions expressed by sp…
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
Xiaolong Wang, Zhi-Qi Cheng, Jue Wang +1
Fashion image editing is a crucial tool for designers to convey their creative ideas by visualizing design concepts interactively. Current fashion image editing techniques, though…
FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing
Tianshuo Yuan, Yuxiang Lin, Jue Wang +5
Combining Vision Large Language Models (VLLMs) with diffusion models offers a powerful method for executing image editing tasks based on human language instructions. However, langu…
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
Jinsong Shi, Pan Gao, Xiaojiang Peng +1
Image quality assessment (IQA) has long been a fundamental challenge in image understanding. In recent years, deep learning-based IQA methods have shown promising performance. Howe…
Invisible Gas Detection: An RGB-Thermal Cross Attention Network and A New Benchmark
Jue Wang, Yuxiang Lin, Qi Zhao +4
The widespread use of various chemical gases in industrial processes necessitates effective measures to prevent their leakage during transportation and storage, given their high to…