8 citations · 39 across the 91 of their papers we have counts for
3 papers · 1 filter
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel +1
We study the problem of estimating 3D shape and pose of an object in terms of keypoints, from a single 2D image. The shape and pose are learned directly from images collected by ca…
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Junjie Ye, Changhong Fu, Guangze Zheng +2
Previous advances in object tracking mostly reported on favorable illumination circumstances while neglecting performance at nighttime, which significantly impeded the development…
Transforming Model Prediction for Tracking
Christoph Mayer, Martin Danelljan, Goutam Bhat +4
Optimization based tracking methods have been widely successful by integrating a target model prediction module, providing effective global reasoning by minimizing an objective fun…