Ricson Cheng

According to our database, Ricson Cheng authored at least 8 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks.

Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.

Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki

CoRR, 2018

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition.

Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions.

Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Reconciliation Feasibility of Non-binary Gene Trees Under a Duplication-Loss-Coalescence Model.

Ricson Cheng, Matthew Dohlen, Chen Pekker, Gabriel Quiroz, Jincheng Wang, Ran Libeskind-Hadas, Yi-Chieh Wu

Proceedings of the Algorithms for Computational Biology - 5th International Conference, 2018

2017

On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model.

Daniel Bork, Ricson Cheng, Jincheng Wang, Jean Sung, Ran Libeskind-Hadas

Algorithms Mol. Biol., 2017

Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent.

James Kennedy, Iolanda Leite, André Pereira, Ming Sun, Boyang Li, Rishub Jain, Ricson Cheng, Eli Pincus, Elizabeth J. Carter, Jill Fain Lehman

Proceedings of the Intelligent Virtual Agents - 17th International Conference, 2017

Clustering the Space of Maximum Parsimony Reconciliations in the Duplication-Transfer-Loss Model.

Alex Ozdemir, Michael Sheely, Daniel Bork, Ricson Cheng, Reyna Hulett, Jean Sung, Jincheng Wang, Ran Libeskind-Hadas

Proceedings of the Algorithms for Computational Biology, 2017