206 citations · 273 across the 9 of their papers we have counts for
9 papers
Dynamic Interpolation for Training-Time Prediction Reshaping in Low-Light Image Enhancement
Peirui Zhu, Shijie Hao, Jingxi Liao +2
Low-light image enhancement (LLIE) is an important image/video processing problem for reliable visual systems under poor illumination, yet it remains challenging due to the strong…
Information Dissemination Model Based on User Attitude and Public Opinion Environment
Xinyu Li, Jinyang Huang, Xiang Zhang +5
Modeling the information dissemination process in social networks is a challenging problem. Despite numerous attempts to address this issue, existing studies often assume that user…
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
Jia Li, Yin Chen, Xuesong Zhang +6
In this paper, we present our advanced solutions to the two sub-challenges of Affective Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) Estimation…
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Zheng Lian, Haiyang Sun, Licai Sun +15
The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia. The challenge focuses on system robustness and consists of three distinct tra…
Dual Encoding for Video Retrieval by Text
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusive…
Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition
Zhao Zhang, Zemin Tang, Yang Wang +4
Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional Networks (DenseNet), have achieved great success for image representation by discovering deep hierarchical in…