| Unsupervised event-based learning of optical flow, depth, and egomotion AZ Zhu, L Yuan, K Chaney, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 603 | 2019 |
| EV-FlowNet: Self-supervised optical flow estimation for event-based cameras AZ Zhu, L Yuan, K Chaney, K Daniilidis arXiv preprint arXiv:1802.06898, 2018 | 527 | 2018 |
| Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks C Lee, AK Kosta, AZ Zhu, K Chaney, K Daniilidis, K Roy European Conference on Computer Vision, 366-382, 2020 | 205 | 2020 |
| A parallel manipulator for mobile manipulating UAVs TW Danko, KP Chaney, PY Oh 2015 IEEE international conference on technologies for practical robot …, 2015 | 102 | 2015 |
| Unsupervised event-based optical flow using motion compensation A Zihao Zhu, L Yuan, K Chaney, K Daniilidis Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 93 | 2018 |
| M3ed: Multi-robot, multi-sensor, multi-environment event dataset K Chaney, F Cladera, Z Wang, A Bisulco, MA Hsieh, C Korpela, V Kumar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
| Tonic: event-based datasets and transformations G Lenz, K Chaney, SB Shrestha, O Oubari, S Picaud, G Zarrella Documentation available under https://tonic. readthedocs. io, 2021 | 36 | 2021 |
| Learning event-based height from plane and parallax K Chaney, A Zihao Zhu, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 23 | 2019 |
| Self-supervised optical flow with spiking neural networks and event based cameras K Chaney, A Panagopoulou, C Lee, K Roy, K Daniilidis 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 16 | 2021 |
| Evac3d: From event-based apparent contours to 3d models via continuous visual hulls Z Wang, K Chaney, K Daniilidis European conference on computer vision, 284-299, 2022 | 15 | 2022 |
| Live demonstration: unsupervised event-based learning of optical flow, depth and egomotion AZ Zhu, L Yuan, K Chaney, K Daniilidis 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2019 | 15 | 2019 |
| An architecture for human-guided autonomy: Team TROOPER at the DARPA robotics challenge finals S Gray, R Chevalier, D Kotfis, B Caimano, K Chaney, A Rubin, K Fregene, ... The DARPA Robotics Challenge Finals: Humanoid Robots to the Rescue, 549-582, 2018 | 8 | 2018 |
| Motion-prior contrast maximization for dense continuous-time motion estimation F Hamann, Z Wang, I Asmanis, K Chaney, G Gallego, K Daniilidis European Conference on Computer Vision, 18-37, 2024 | 7 | 2024 |
| Minibatch processing for speed-up and scalability of spiking neural network simulation DJ Saunders, C Sigrist, K Chaney, R Kozma, HT Siegelmann 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7* | 2020 |
| Applied robotics for installation and base operations for industrial hygiene C Korpela, K Chaney, P Brahmbhatt 2015 IEEE International Conference on Technologies for Practical Robot …, 2015 | 7 | 2015 |
| Event-based Continuous Color Video Decompression from Single Frames Z Wang, F Hamann, K Chaney, W Jiang, G Gallego, K Daniilidis arXiv preprint arXiv:2312.00113, 2023 | 6 | 2023 |
| Tissue‐specific expression of ribosomal protein paralogue eRpL22‐like in Drosophila melanogaster eye development BW Gershman, CE Pritchard, KP Chaney, VC Ware Developmental Dynamics 249 (9), 1147-1165, 2020 | 6 | 2020 |
| Semantic keypoint-based pose estimation from single RGB frames K Schmeckpeper, PR Osteen, Y Wang, G Pavlakos, K Chaney, W Jordan, ... arXiv preprint arXiv:2204.05864, 2022 | 5 | 2022 |
| Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion A Zihao Zhu, L Yuan, K Chaney, K Daniilidis arXiv e-prints, arXiv: 1812.08156, 2018 | 1 | 2018 |
| Unsupervised Monocular Depth and Latent Structure K Chaney, B Bucher, E Chatzipantazis, J Shi, K Daniilidis | 1 | |
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaEmail confirmado em cis.upenn.edu
