68 code implementations • CVPR 2018 • Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas
In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.
Ranked #1 on Object Localization on KITTI Pedestrians Easy
no code implementations • 12 Jun 2016 • Chenxia Wu, Jiemi Zhang, Ashutosh Saxena, Silvio Savarese
Co-segmentation is the automatic extraction of the common semantic regions given a set of images.
no code implementations • 11 May 2016 • Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena
Our method can also provide a textual description for each of the identified semantic steps and video segments.
no code implementations • 11 Mar 2016 • Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena
For evaluation, we contribute a new challenging RGB-D activity video dataset recorded by the new Kinect v2, which contains several human daily activities as compositions of multiple actions interacting with different objects.
no code implementations • 14 Dec 2015 • Chenxia Wu, Jiemi Zhang, Bart Selman, Silvio Savarese, Ashutosh Saxena
We show that our approach not only improves the unsupervised action segmentation and action cluster assignment performance, but also effectively detects the forgotten actions on a challenging human activity RGB-D video dataset.
no code implementations • CVPR 2015 • Chenxia Wu, Jiemi Zhang, Silvio Savarese, Ashutosh Saxena
For evaluation, we also contribute a new challenging RGB-D activity video dataset recorded by the new Kinect v2, which contains several human daily activities as compositions of multiple actions interacted with different objects.