Ricson Cheng
Ricson Cheng
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Title
Cited by
Cited by
Year
Learning spatial common sense with geometry-aware recurrent networks
HYF Tung, R Cheng, K Fragkiadaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
422019
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
R Cheng, A Agarwal, K Fragkiadaki
arXiv preprint arXiv:1811.08067, 2018
222018
Geometry-aware recurrent neural networks for active visual recognition
R Cheng, Z Wang, K Fragkiadaki
arXiv preprint arXiv:1811.01292, 2018
202018
On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
D Bork, R Cheng, J Wang, J Sung, R Libeskind-Hadas
Algorithms for Molecular Biology 12 (1), 1-12, 2017
82017
Learning and reusing dialog for repeated interactions with a situated social agent
J Kennedy, I Leite, AŚ Pereira, M Sun, B Li, R Jain, R Cheng, E Pincus, ...
International Conference on Intelligent Virtual Agents, 192-204, 2017
62017
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.
R Cheng, A Agarwal, K Fragkiadaki
42018
Clustering the space of maximum parsimony reconciliations in the duplication-transfer-loss model
A Ozdemir, M Sheely, D Bork, R Cheng, R Hulett, J Sung, J Wang, ...
International Conference on Algorithms for Computational Biology, 127-139, 2017
32017
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
HY Fish Tung, R Cheng, K Fragkiadaki
arXiv e-prints, arXiv: 1901.00003, 2018
2018
Reconciliation Feasibility of Non-binary Gene Trees Under a Duplication-Loss-Coalescence Model
R Cheng, M Dohlen, C Pekker, G Quiroz, J Wang, R Libeskind-Hadas, ...
International Conference on Algorithms for Computational Biology, 11-23, 2018
2018
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