activity
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

collaborators

9 papers

cs.CV2024★ 1 cited

LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation

Lingyi Hong, Zhongying Liu, Wenchao Chen +9

Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing VOS benchm…

cs.CV2024

ClickVOS: Click Video Object Segmentation

Pinxue Guo, Lingyi Hong, Xinyu Zhou +7

Video Object Segmentation (VOS) task aims to segment objects in videos. However, previous settings either require time-consuming manual masks of target objects at the first frame d…

cs.CV2023

SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation

Lingyi Hong, Wei Zhang, Shuyong Gao +2

Unsupervised video object segmentation (UVOS) aims at detecting the primary objects in a given video sequence without any human interposing. Most existing methods rely on two-strea…

cs.CV2023★ 2 cited

PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation

Shilin Yan, Xiaohao Xu, Renrui Zhang +4

Panoramic videos contain richer spatial information and have attracted tremendous amounts of attention due to their exceptional experience in some fields such as autonomous driving…

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…