7 citations · 22 across the 13 of their papers we have counts for
13 papers
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
Jiamin Luo, Jingjing Wang, Guodong Zhou
Multimodal Conversational Emotion (MCE) detection, generally spanning across the acoustic, vision and language modalities, has attracted increasing interest in the multimedia commu…
Learning Expressive And Generalizable Motion Features For Face Forgery Detection
Jingyi Zhang, Peng Zhang, Jingjing Wang +2
Previous face forgery detection methods mainly focus on appearance features, which may be easily attacked by sophisticated manipulation. Considering the majority of current face ma…
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
Pengwei Yin, Guanzhong Zeng, Jingjing Wang +1
Gaze estimation methods often experience significant performance degradation when evaluated across different domains, due to the domain gap between the testing and training data. E…
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang +2
Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular due to its efficiency and convenience for practical applications. To achieve this, most previ…
Is GPT Powerful Enough to Analyze the Emotions of Memes?
Jingjing Wang, Joshua Luo, Grace Yang +2
Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks. This project…
Towards Scalable Wireless Federated Learning: Challenges and Solutions
Yong Zhou, Yuanming Shi, Haibo Zhou +3
The explosive growth of smart devices (e.g., mobile phones, vehicles, drones) with sensing, communication, and computation capabilities gives rise to an unprecedented amount of dat…