activity
20232026
collaborators

8 papers

cs.CV2026

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning

Liangyu Fu, Junbo Wang, Yuke Li +3

Text-only training is a popular paradigm in zero-shot video captioning, where the video distribution is not available to the model during training, leading to a cross-modal gap bet…

cs.CV2026

Adaptive Emotional Video Captioning via Affective Heterogeneous Graph Reasoning and Multi-task Joint Learning

Junbo Wang, Liangyu Fu, Yuke Li +2

Emotional video captioning (EVC) aims to describe a video with both factual correctness and affective expressiveness. It requires a model to perceive subtle, ambiguous, and tempora…

cs.CV2026

MooD: Perception-Enhanced Efficient Affective Image Editing via Continuous Valence-Arousal Modeling

Xinyi Yin, Yiduo Wang, Tingqi Hu +6

Affective Image Editing (AIE) aims to modify visual content to evoke targeted emotions. Although current approaches achieve impressive editing quality, they often overlook inferenc…

cs.CV2026

EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition

Junbo Wang, Liangyu Fu, Yuke Li +3

Micro-expression recognition can obtain the real emotion of the individual at the current moment. Although deep learning-based methods, especially Transformer-based methods, have a…

cs.CV2026

DiffVC: A Non-autoregressive Framework Based on Diffusion Model for Video Captioning

Junbo Wang, Liangyu Fu, Yuke Li +4

Current video captioning methods usually use an encoder-decoder structure to generate text autoregressively. However, autoregressive methods have inherent limitations such as slow…

cs.CV2024

3A-YOLO: New Real-Time Object Detectors with Triple Discriminative Awareness and Coordinated Representations

Xuecheng Wu, Junxiao Xue, Liangyu Fu +3

Recent research on real-time object detectors (e.g., YOLO series) has demonstrated the effectiveness of attention mechanisms for elevating model performance. Nevertheless, existing…

cs.CV2023

Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline

Xuecheng Wu, Heli Sun, Junxiao Xue +4

Nowadays, short-form videos (SVs) are essential to web information acquisition and sharing in our daily life. The prevailing use of SVs to spread emotions leads to the necessity of…

cs.CV2023

Affective Video Content Analysis: Decade Review and New Perspectives

Junxiao Xue, Jie Wang, Xuecheng Wu +1

Video content is rich in semantics and has the ability to evoke various emotions in viewers. In recent years, with the rapid development of affective computing and the explosive gr…