![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Search dblp for Publications
export results for "Ricson Cheng"
@inproceedings{DBLP:conf/cvpr/TungCF19, author = {Hsiao{-}Yu Fish Tung and Ricson Cheng and Katerina Fragkiadaki}, title = {Learning Spatial Common Sense With Geometry-Aware Recurrent Networks}, booktitle = {{CVPR}}, pages = {2595--2603}, publisher = {Computer Vision Foundation / {IEEE}}, year = {2019} }
@article{DBLP:journals/corr/abs-1901-00003, author = {Hsiao{-}Yu Fish Tung and Ricson Cheng and Katerina Fragkiadaki}, title = {Learning Spatial Common Sense with Geometry-Aware Recurrent Networks}, journal = {CoRR}, volume = {abs/1901.00003}, year = {2019} }
@inproceedings{DBLP:conf/alcob/ChengDPQWLW18, author = {Ricson Cheng and Matthew Dohlen and Chen Pekker and Gabriel Quiroz and Jincheng Wang and Ran Libeskind{-}Hadas and Yi{-}Chieh Wu}, title = {Reconciliation Feasibility of Non-binary Gene Trees Under a Duplication-Loss-Coalescence Model}, booktitle = {AlCoB}, series = {Lecture Notes in Computer Science}, volume = {10849}, pages = {11--23}, publisher = {Springer}, year = {2018} }
@inproceedings{DBLP:conf/corl/ChengAF18, author = {Ricson Cheng and Arpit Agarwal and Katerina Fragkiadaki}, title = {Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions}, booktitle = {CoRL}, series = {Proceedings of Machine Learning Research}, volume = {87}, pages = {422--431}, publisher = {{PMLR}}, year = {2018} }
@inproceedings{DBLP:conf/nips/ChengWF18, author = {Ricson Cheng and Ziyan Wang and Katerina Fragkiadaki}, title = {Geometry-Aware Recurrent Neural Networks for Active Visual Recognition}, booktitle = {NeurIPS}, pages = {5086--5096}, year = {2018} }
@article{DBLP:journals/corr/abs-1811-01292, author = {Ricson Cheng and Ziyan Wang and Katerina Fragkiadaki}, title = {Geometry-Aware Recurrent Neural Networks for Active Visual Recognition}, journal = {CoRR}, volume = {abs/1811.01292}, year = {2018} }
@article{DBLP:journals/corr/abs-1811-08067, author = {Ricson Cheng and Arpit Agarwal and Katerina Fragkiadaki}, title = {Reinforcement Learning of Active Vision forManipulating Objects under Occlusions}, journal = {CoRR}, volume = {abs/1811.08067}, year = {2018} }
@article{DBLP:journals/almob/BorkCWSL17, author = {Daniel Bork and Ricson Cheng and Jincheng Wang and Jean Sung and Ran Libeskind{-}Hadas}, title = {On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model}, journal = {Algorithms Mol. Biol.}, volume = {12}, number = {1}, pages = {6:1--6:12}, year = {2017} }
@inproceedings{DBLP:conf/alcob/OzdemirSBCHSWL17, author = {Alex Ozdemir and Michael Sheely and Daniel Bork and Ricson Cheng and Reyna Hulett and Jean Sung and Jincheng Wang and Ran Libeskind{-}Hadas}, title = {Clustering the Space of Maximum Parsimony Reconciliations in the Duplication-Transfer-Loss Model}, booktitle = {AlCoB}, series = {Lecture Notes in Computer Science}, volume = {10252}, pages = {127--139}, publisher = {Springer}, year = {2017} }
@inproceedings{DBLP:conf/iva/KennedyLPSLJCPC17, author = {James Kennedy and Iolanda Leite and Andr{\'{e}} Pereira and Ming Sun and Boyang Li and Rishub Jain and Ricson Cheng and Eli Pincus and Elizabeth J. Carter and Jill Fain Lehman}, title = {Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent}, booktitle = {{IVA}}, series = {Lecture Notes in Computer Science}, volume = {10498}, pages = {192--204}, publisher = {Springer}, year = {2017} }
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.