177 citations · 714 across the 8 of their papers we have counts for
6 papers · 1 filter
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Qian Yin, Qingyong Hu, Hao Liu +5
Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications. However, achieving moving object detecti…
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
Hong-Xiang Chen, Kunhong Li, Zhiheng Fu +3
A main challenge for tasks on panorama lies in the distortion of objects among images. In this work, we propose a Distortion-Aware Monocular Omnidirectional (DAMO) dense depth esti…
Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang, Yulan Guo, Yingqian Wang +4
Stereo image pairs encode 3D scene cues into stereo correspondences between the left and right images. To exploit 3D cues within stereo images, recent CNN based methods commonly us…
Deformable 3D Convolution for Video Super-Resolution
Xinyi Ying, Longguang Wang, Yingqian Wang +3
The spatio-temporal information among video sequences is significant for video super-resolution (SR). However, the spatio-temporal information cannot be fully used by existing vide…
Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang, Yulan Guo, Li Liu +3
Video super-resolution (SR) aims at generating a sequence of high-resolution (HR) frames with plausible and temporally consistent details from their low-resolution (LR) counterpart…
Learning for Video Super-Resolution through HR Optical Flow Estimation
Longguang Wang, Yulan Guo, Zaiping Lin +2
Video super-resolution (SR) aims to generate a sequence of high-resolution (HR) frames with plausible and temporally consistent details from their low-resolution (LR) counterparts.…