| 2017 ICCV challenge: Detecting symmetry in the wild C Funk, S Lee, MR Oswald, S Tsogkas, W Shen, A Cohen, S Dickinson, ... Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 54 | 2017 |
| Detecting Reflectional Symmetries in 3D Data Through Symmetrical Fitting A Ecins, C Fermüller, Y Aloimonos ICCV Workshops, 1779-1783, 2017 | 33 | 2017 |
| Towards a robotic hand rehabilitation exoskeleton for stroke therapy Y Kim, SS Cheng, A Ecins, C Fermüller, KP Westlake, JP Desai Dynamic Systems and Control Conference 46186, V001T04A006, 2014 | 24 | 2014 |
| Shadow free segmentation in still images using local density measure A Ecins, C Fermüller, Y Aloimonos | 22 | 2014 |
| Modifying map elements associated with map data D Adams, P Blaes, A Ecins, JS Levinson, D Miller US Patent 10,782,136, 2020 | 20 | 2020 |
| Cluttered scene segmentation using the symmetry constraint A Ecins, C Fermüller, Y Aloimonos 2016 IEEE International Conference on Robotics and Automation (ICRA), 2271-2278, 2016 | 20 | 2016 |
| Seeing behind the scene: Using symmetry to reason about objects in cluttered environments A Ecins, C Fermüller, Y Aloimonos 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 14 | 2018 |
| Calibrating multiple inertial measurement units SR Navin, D Adams, MC Bosse, A Ecins US Patent 11,898,873, 2024 | 8 | 2024 |
| Inertial measurement unit fault detection SR Navin, D Adams, MC Bosse, A Ecins US Patent 11,680,824, 2023 | 1 | 2023 |
| Modifying Map Elements Associated with Map Data D Adams, P Blaes, A Ecins, JS Levinson, D Miller US Patent App. 18/368,970, 2024 | | 2024 |
| Modifying map elements associated with map data D Adams, P Blaes, A Ecins, JS Levinson, D Miller US Patent 11,761,791, 2023 | | 2023 |
| Mesh validation A Ecins, N Shroff US Patent 11,125,861, 2021 | | 2021 |
| Seeing Behind the Scene: Using Symmetry to Reason About Objects in Cluttered Environments A Ecins University of Maryland, College Park, 2017 | | 2017 |
| Classification of Negotiation Thought Units using Supervised Learning R Johnson, C Hayden, A Ecins | | |
Cornelia FermullerResearch Scientist, Computer Vision and Human Vision, University of MarylandVerified email at cfar.umd.edu
