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Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces


Jun 19, 2022
Yinshuang Xu, Jiahui Lei, Edgar Dobriban, Kostas Daniilidis

* Accepted at ICML2022 Thirty-ninth International Conference on Machine Learning 

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Semantic keypoint-based pose estimation from single RGB frames


Apr 12, 2022
Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

* Field Robotics, 2, 147-171, 2022 
* https://sites.google.com/view/rcta-object-keypoints-dataset/home. arXiv admin note: substantial text overlap with arXiv:1703.04670 

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SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space


Apr 05, 2022
Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Edgar Dobriban, Kostas Daniilidis


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CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism


Mar 30, 2022
Jiahui Lei, Kostas Daniilidis

* CVPR2022 webpage https://www.cis.upenn.edu/~leijh/projects/cadex/ 

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Cross-modal Map Learning for Vision and Language Navigation


Mar 21, 2022
Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis


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Uncertainty-driven Planner for Exploration and Navigation


Feb 24, 2022
Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis


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Learning Augmentation Distributions using Transformed Risk Minimization


Nov 16, 2021
Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Edgar Dobriban, Kostas Daniilidis


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Discovering and Achieving Goals via World Models


Oct 18, 2021
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

* NeurIPS 2021. First two authors contributed equally. Website at https://orybkin.github.io/lexa/ 

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