27 citations · 106 across the 16 of their papers we have counts for
5 papers · 1 filter
ColoristaNet for Photorealistic Video Style Transfer
Xiaowen Qiu, Ruize Xu, Boan He +3
Photorealistic style transfer aims to transfer the artistic style of an image onto an input image or video while keeping photorealism. In this paper, we think it's the summary stat…
RankDNN: Learning to Rank for Few-shot Learning
Qianyu Guo, Hongtong Gong, Xujun Wei +4
This paper introduces a new few-shot learning pipeline that casts relevance ranking for image retrieval as binary ranking relation classification. In comparison to image classifica…
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos
Yan Wang, Yixuan Sun, Yiwen Huang +5
Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos. It is still ambiguous to evaluate whet…
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
Yan Wang, Wei Song, Wei Tao +8
Affective computing plays a key role in human-computer interactions, entertainment, teaching, safe driving, and multimedia integration. Major breakthroughs have been made recently…
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yangji He, Weihan Liang, Dongyang Zhao +4
This paper presents new hierarchically cascaded transformers that can improve data efficiency through attribute surrogates learning and spectral tokens pooling. Vision transformers…