285 citations · 501 across the 18 of their papers we have counts for
5 papers · 1 filter
Exploiting temporal information for 3D pose estimation
Mir Rayat Imtiaz Hossain, James J. Little
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art metho…
Backtracking Regression Forests for Accurate Camera Relocalization
Lili Meng, Jianhui Chen, Frederick Tung +3
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection. Recent…
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Lili Meng, Frederick Tung, James J. Little +2
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure and loop closure detection. Recent…
Light Cascaded Convolutional Neural Networks for Accurate Player Detection
Keyu Lu, Jianhui Chen, James J. Little +1
Vision based player detection is important in sports applications. Accuracy, efficiency, and low memory consumption are desirable for real-time tasks such as intelligent broadcasti…
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero +1
Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations…