4 citations · 7 across the 5 of their papers we have counts for
6 papers
Frustum PointNets for 3D Object Detection from RGB-D Data
Charles R. Qi, Wei Liu, Chenxia Wu +2
In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes. While previous methods focus on images or 3D voxels, often obscuring natural 3D patter…
Human Centred Object Co-Segmentation
Chenxia Wu, Jiemi Zhang, Ashutosh Saxena +1
Co-segmentation is the automatic extraction of the common semantic regions given a set of images. Different from previous approaches mainly based on object visuals, in this paper,…
Unsupervised Semantic Action Discovery from Video Collections
Ozan Sener, Amir Roshan Zamir, Chenxia Wu +2
Human communication takes many forms, including speech, text and instructional videos. It typically has an underlying structure, with a starting point, ending, and certain objectiv…
Watch-n-Patch: Unsupervised Learning of Actions and Relations
Chenxia Wu, Jiemi Zhang, Ozan Sener +3
There is a large variation in the activities that humans perform in their everyday lives. We consider modeling these composite human activities which comprises multiple basic level…
Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
Chenxia Wu, Jiemi Zhang, Bart Selman +2
We present a robotic system that watches a human using a Kinect v2 RGB-D sensor, detects what he forgot to do while performing an activity, and if necessary reminds the person usin…
Price of Anarchy of Innovation Diffusion in Social Networks
Xilun Chen, Chenxia Wu
There have been great efforts in studying the cascading behavior in social networks such as the innovation diffusion, etc. Game theoretically, in a social network where individuals…