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Ricson Cheng
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2010 – 2019
- 2019
- [c6]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR 2019: 2595-2603 - [i3]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR abs/1901.00003 (2019) - 2018
- [c5]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: 11-23 - [c4]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL 2018: 422-431 - [c3]Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki:
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. NeurIPS 2018: 5086-5096 - [i2]Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki:
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. CoRR abs/1811.01292 (2018) - [i1]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR abs/1811.08067 (2018) - 2017
- [j1]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): 6:1-6:12 (2017) - [c2]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: 127-139 - [c1]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: 192-204
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