Alexander Pashevich

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 11

Top Topics

Regression Model

Learning Systems

Gaussian Mixture

Top Venues

Pattern Recognit. Lett.

Publications

Alexander Pashevich, Cordelia Schmid, Chen Sun
Episodic Transformer for Vision-and-Language Navigation. CoRR (2021)
Alexander Pashevich, Cordelia Schmid, Chen Sun
Episodic Transformer for Vision-and-Language Navigation. ICCV (2021)
Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
Learning visual policies for building 3D shape categories. IROS (2020)
Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
Learning visual policies for building 3D shape categories. CoRR (2020)
Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid
Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA (2020)
Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid
Combining learned skills and reinforcement learning for robotic manipulations. CoRR (2019)
Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS (2019)
Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR (2019)
Richard T. Marriott, Alexander Pashevich, Radu Horaud
Plane-extraction from depth-data using a Gaussian mixture regression model. Pattern Recognit. Lett. 110 (2018)
Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid
Modulated Policy Hierarchies. CoRR (2018)
Richard T. Marriott, Alexander Pashevich, Radu Horaud
Plane-extraction from depth-data using a Gaussian mixture regression model. CoRR (2017)