Chenxia Wu

According to our database1, Chenxia Wu
  • authored at least 18 papers between 2012 and 2017.
  • has a "Dijkstra number"2 of four.



In proceedings 
PhD thesis 




Frustum PointNets for 3D Object Detection from RGB-D Data.
CoRR, 2017

Watch-n-Patch: Unsupervised Learning of Actions and Relations.
CoRR, 2016

Human Centred Object Co-Segmentation.
CoRR, 2016

Unsupervised Semantic Action Discovery from Video Collections.
CoRR, 2016

Watch-Bot: Unsupervised learning for reminding humans of forgotten actions.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Treelets Binary Feature Retrieval for Fast Keypoint Recognition.
IEEE Trans. Cybernetics, 2015

Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions.
CoRR, 2015

Watch-n-patch: Unsupervised understanding of actions and relations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Price of Anarchy of Innovation Diffusion in Social Networks.
CoRR, 2014

Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception.
Proceedings of the Robotics: Science and Systems X, 2014

Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning.
IEEE Trans. Knowl. Data Eng., 2013

Semi-supervised spectral hashing for fast similarity search.
Neurocomputing, 2013

Bilevel Visual Words Coding for Image Classification.
Proceedings of the IJCAI 2013, 2013

Sparse Poisson coding for high dimensional document clustering.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Search web images using objects, backgrounds and conditions.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Unsupervised face-name association via commute distance.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition.
Proceedings of the Computer Vision - ECCV 2012, 2012

A content-based video copy detection method with randomly projected binary features.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012