most citedFeature Sampling Strategies for Action Recognition

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation

Youhong Wang, Yunji Liang, Hao Xu +2

Recently, self-supervised monocular depth estimation has gained popularity with numerous applications in autonomous driving and robotics. However, existing solutions primarily seek…

cs.CV20232 cited

SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting

Canyu Zhang, Qing Guo, Xiaoguang Li +4

In this work, we introduce a challenging image restoration task, referred to as SuperInpaint, which aims to reconstruct missing regions in low-resolution images and generate comple…

cs.CV20234 cited

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Runsheng Xu, Xin Xia, Jinlong Li +10

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks th…

cs.CV2023

Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data

Lan Fu, Zhiyuan Liu, Jinlong Li +3

Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very i…

cs.CV20157 cited

Feature Sampling Strategies for Action Recognition

Youjie Zhou, Hongkai Yu, Song Wang

Although dense local spatial-temporal features with bag-of-features representation achieve state-of-the-art performance for action recognition, the huge feature number and feature…