5 citations · 7 across the 3 of their papers we have counts for
5 papers
Noise-Resistant Multimodal Transformer for Emotion Recognition
Yuanyuan Liu, Haoyu Zhang, Yibing Zhan +4
Multimodal emotion recognition identifies human emotions from various data modalities like video, text, and audio. However, we found that this task can be easily affected by noisy…
Online Streaming Video Super-Resolution with Convolutional Look-Up Table
Guanghao Yin, Zefan Qu, Xinyang Jiang +8
Online video streaming has fundamental limitations on the transmission bandwidth and computational capacity and super-resolution is a promising potential solution. However, applyin…
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Guanghao Yin, Wei Wang, Zehuan Yuan +4
Generally, humans are more skilled at perceiving differences between high-quality (HQ) and low-quality (LQ) images than directly judging the quality of a single LQ image. This situ…
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Guanghao Yin, Shouqian Sun, Chao Li +1
In real-world single image super-resolution (SISR) task, the low-resolution image suffers more complicated degradations, not only downsampled by unknown kernels. However, existing…
User independent Emotion Recognition with Residual Signal-Image Network
Guanghao Yin, Shouqian Sun, Hui Zhang +4
User independent emotion recognition with large scale physiological signals is a tough problem. There exist many advanced methods but they are conducted under relatively small data…