Konstantinos Bousmalis
Konstantinos Bousmalis
DeepMind
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TitleCited byYear
Unsupervised pixel-level domain adaptation with generative adversarial networks
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5682017
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
Advances in neural information processing systems, 343-351, 2016
4532016
Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 4243-4250, 2018
2002018
A deep semi-nmf model for learning hidden representations
G Trigeorgis, K Bousmalis, S Zafeiriou, B Schuller
International Conference on Machine Learning, 1692-1700, 2014
1002014
A deep matrix factorization method for learning attribute representations
G Trigeorgis, K Bousmalis, S Zafeiriou, BW Schuller
IEEE transactions on pattern analysis and machine intelligence 39 (3), 417-429, 2016
912016
Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools
K Bousmalis, M Mehu, M Pantic
2009 3rd international conference on affective computing and intelligent …, 2009
712009
Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools
K Bousmalis, M Mehu, M Pantic
Image and Vision Computing 31 (2), 203-221, 2013
672013
Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition
K Bousmalis, LP Morency, M Pantic
Face and Gesture 2011, 746-752, 2011
652011
Infinite Hidden Conditional Random Fields for Human Behavior Analysis
K Bousmalis, S Zafeiriou, LP Morency, M Pantic
IEEE Transactions in Neural Networks and Learning Systems, 1-1, 2013
522013
Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
422019
Xgan: Unsupervised image-to-image translation for many-to-many mappings
A Royer, K Bousmalis, S Gouws, F Bertsch, I Mosseri, F Cole, K Murphy
Domain Adaptation for Visual Understanding, 33-49, 2020
332020
Variational hidden conditional random fields with coupled Dirichlet process mixtures
K Bousmalis, S Zafeiriou, LP Morency, M Pantic, Z Ghahramani
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
132013
Unsupervised multi-target domain adaptation: An information theoretic approach
B Gholami, P Sahu, O Rudovic, K Bousmalis, V Pavlovic
arXiv preprint arXiv:1810.11547, 2018
62018
Variational Infinite Hidden Conditional Random Fields
K Bousmalis, SP Zafeiriou, LP Morency, M Pantic, Z Ghahramani
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
62015
Progress in Artificial Intelligence: 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA …
JM Neves, MF Santos, JM Machado
Springer, 2007
62007
Off-policy evaluation via off-policy classification
A Irpan, K Rao, K Bousmalis, C Harris, J Ibarz, S Levine
Advances in Neural Information Processing Systems, 5438-5449, 2019
42019
A scouting-inspired evolutionary algorithm
JO Pfaffmann, K Bousmalis, S Colombano
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
42004
A Discriminative Nonparametric Bayesian Model: Infinite Hidden Conditional Random Fields
K Bousmalis, LP Morency, S Zafeiriou, M Pantic
4*
Xgan: Unsupervised image-to-image translation for many-to-many mappings
A Royer, K Bousmalis, S Gouws, F Bertsch, I Mosseri, F Cole, K Murphy
22018
Improving evolutionary algorithms with scouting
K Bousmalis, GM Hayes, JO Pfaffmann
Portuguese Conference on Artificial Intelligence, 247-258, 2007
22007
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Articles 1–20