35 citations · 98 across the 7 of their papers we have counts for
7 papers
IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
Gangwei Xu, Xianqi Wang, Zhaoxing Zhang +3
Stereo matching is a core component in many computer vision and robotics systems. Despite significant advances over the last decade, handling matching ambiguities in ill-posed regi…
Reinforcement learning
Sarod Yatawatta
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operati…
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan, Hexin Bai, Liting Lin +11
Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmark…
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
Heng Fan, Liting Lin, Fan Yang +7
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total. Each frame…
A Single-shot-per-pose Camera-Projector Calibration System For Imperfect Planar Targets
Bingyao Huang, Samed Ozdemir, Ying Tang +2
Existing camera-projector calibration methods typically warp feature points from a camera image to a projector image using estimated homographies, and often suffer from errors in c…
Planar Object Tracking in the Wild: A Benchmark
Pengpeng Liang, Yifan Wu, Hu Lu +3
Planar object tracking is an actively studied problem in vision-based robotic applications. While several benchmarks have been constructed for evaluating state-of-the-art algorithm…
Adaptive Objectness for Object Tracking
Pengpeng Liang, Chunyuan Liao, Xue Mei +1
Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited…