Ricson Cheng

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 10

Top Topics

Visual Recognition

Computational Framework

Recurrent Networks

Top Venues

Publications

Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR (2019)
Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR (2019)
Ricson Cheng, Matthew Dohlen, Chen Pekker, Gabriel Quiroz, Jincheng Wang, Ran Libeskind-Hadas, Yi-Chieh Wu
Reconciliation Feasibility of Non-binary Gene Trees Under a Duplication-Loss-Coalescence Model. AlCoB (2018)
Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. CoRR (2018)
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR (2018)
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL (2018)
Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. NeurIPS (2018)
Alex Ozdemir, Michael Sheely, Daniel Bork, Ricson Cheng, Reyna Hulett, Jean Sung, Jincheng Wang, Ran Libeskind-Hadas
Clustering the Space of Maximum Parsimony Reconciliations in the Duplication-Transfer-Loss Model. AlCoB (2017)
James Kennedy, Iolanda Leite, André Pereira, Ming Sun, Boyang Li, Rishub Jain, Ricson Cheng, Eli Pincus, Elizabeth J. Carter, Jill Fain Lehman
Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent. IVA (2017)
Daniel Bork, Ricson Cheng, Jincheng Wang, Jean Sung, Ran Libeskind-Hadas
On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model. Algorithms Mol. Biol. 12 (1) (2017)