| Learning so (3) equivariant representations with spherical cnns C Esteves, C Allen-Blanchette, A Makadia, K Daniilidis Proceedings of the European Conference on Computer Vision (ECCV), 52-68, 2018 | 596 | 2018 |
| Arrangements and methods for determining positions and offsets M Rodnick, C Allen-Blanchette US Patent 8,860,955, 2014 | 366 | 2014 |
| Polar Transformer Networks C Esteves, C Allen-Blanchette, X Zhou, K Daniilidis arXiv preprint arXiv:1709.01889, 2017 | 218 | 2017 |
| Equivariant multi-view networks C Esteves, Y Xu, C Allen-Blanchette, K Daniilidis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 2019 |
| LagNetViP: A Lagrangian Neural Network for Video Prediction C Allen-Blanchette, S Veer, A Majumdar, NE Leonard arXiv preprint arXiv:2010.12932, 2020 | 36 | 2020 |
| 3D object classification and retrieval with Spherical CNNs C Esteves, C Allen-Blanchette, A Makadia, K Daniilidis arXiv preprint arXiv:1711.06721, 2017 | 25 | 2017 |
| Systems and methods for dynamic alignment beam calibration M Rodnick, C Allen-Blanchette US Patent 9,269,529, 2016 | 17 | 2016 |
| Systems and methods for calibrating end effector alignment in a plasma processing system M Rodnick, C Allen-Blanchette US Patent 8,751,047, 2014 | 15 | 2014 |
| Systems and methods for calibrating end effector alignment using at least a light source M Rodnick, C Allen-Blanchette US Patent 8,954,287, 2015 | 12 | 2015 |
| Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J Mason, C Allen-Blanchette, N Zolman, E Davison, N Leonard arXiv preprint arXiv:2209.11355, 2022 | 5 | 2022 |
| The exponential map for the group of similarity transformations and applications to motion interpolation S Leonardos, C Allen-Blanchette, J Gallier 2015 IEEE International Conference on Robotics and Automation (ICRA), 377-382, 2015 | 4 | 2015 |
| Behavior-inspired neural networks for relational inference Y Yang, B Feng, K Wang, N Leonard, AB Dieng, C Allen-Blanchette arXiv preprint arXiv:2406.14746, 2024 | 2 | 2024 |
| Discrete diffusion reward guidance methods for offline reinforcement learning M Coleman, O Russakovsky, C Allen-Blanchette, Y Zhu ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023 | 2 | 2023 |
| Motion Interpolation in SIM (3) C Allen–Blanchette, S Leonardos, J Gallier | 2 | 2014 |
| Relational Reasoning On Graphs Using Opinion Dynamics Y Yang, B Feng, K Wang, N Leonard, AB Dieng, C Allen-Blanchette arXiv preprint arXiv:2406.14746, 2024 | 1 | 2024 |
| Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution JJ Mason, C Allen-Blanchette, N Zolman, E Davison, NE Leonard Aerospace 10 (11), 921, 2023 | 1 | 2023 |
| Hamiltonian GAN C Allen-Blanchette arXiv preprint arXiv:2308.11216, 2023 | 1 | 2023 |
| Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics K Wang, Y Yang, I Saha, C Allen-Blanchette arXiv preprint arXiv:2501.19089, 2025 | | 2025 |
| Color Equivariant Network F O'Mahony, Y Yang, C Allen-Blanchette arXiv preprint arXiv:2406.09588, 2024 | | 2024 |
| Geometric Algebra Grasp Diffusion for Dexterous Manipulators T Zhong, C Allen-Blanchette Training 10, 3, 0 | | |
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
