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20222024
most citedFERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

6 citations · 14 across the 9 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

LVOS: A Benchmark for Long-term Video Object Segmentation

Lingyi Hong, Wenchao Chen, Zhongying Liu +4

Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time. These videos are po…

cs.CV2022★ 1 cited

Weakly Supervised Video Salient Object Detection via Point Supervision

Shuyong Gao, Haozhe Xing, Wei Zhang +3

Video salient object detection models trained on pixel-wise dense annotation have achieved excellent performance, yet obtaining pixel-by-pixel annotated datasets is laborious. Seve…

cs.CV2022★ 6 cited

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…

cs.MM2022★ 2 cited

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…

cs.CV2022

Weakly-Supervised Salient Object Detection Using Point Supervision

Shuyong Gao, Wei Zhang, Yan Wang +4

Current state-of-the-art saliency detection models rely heavily on large datasets of accurate pixel-wise annotations, but manually labeling pixels is time-consuming and labor-inten…