| Transformation-grounded image generation network for novel 3d view synthesis E Park, J Yang, E Yumer, D Ceylan, AC Berg Proceedings of the ieee conference on computer vision and pattern …, 2017 | 263 | 2017 |
| Visual madlibs: Fill in the blank description generation and question answering L Yu, E Park, AC Berg, TL Berg Proceedings of the IEEE International Conference on Computer Vision, 2461-2469, 2015 | 252* | 2015 |
| Combining multiple sources of knowledge in deep cnns for action recognition E Park, X Han, TL Berg, AC Berg 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016 | 195 | 2016 |
| Meta-tracker: Fast and robust online adaptation for visual object trackers E Park, AC Berg Proceedings of the European Conference on Computer Vision (ECCV), 569-585, 2018 | 160 | 2018 |
| A dataset for developing and benchmarking active vision P Ammirato, P Poirson, E Park, J Košecká, AC Berg 2017 IEEE International Conference on Robotics and Automation (ICRA), 1378-1385, 2017 | 143 | 2017 |
| An evaluation of the NVIDIA TX1 for supporting real-time computer-vision workloads N Otterness, M Yang, S Rust, E Park, JH Anderson, FD Smith, A Berg, ... 2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2017 | 113 | 2017 |
| Fast and space-efficient virtual machine checkpointing E Park, B Egger, J Lee ACM SIGPLAN Notices 46 (7), 75-86, 2011 | 82 | 2011 |
| Meta-Curvature E Park, JB Oliva Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 76 | 2019 |
| Low-power computer vision: Status, challenges, and opportunities S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 42 | 2019 |
| Unsupervised doodling and painting with improved spiral JFJ Mellor, E Park, Y Ganin, I Babuschkin, T Kulkarni, D Rosenbaum, ... arXiv preprint arXiv:1910.01007, 2019 | 35 | 2019 |
| Energy-oriented partial desktop virtual machine migration N Bila, EJ Wright, ED Lara, K Joshi, HA Lagar-Cavilla, E Park, A Goel, ... ACM Transactions on Computer Systems (TOCS) 33 (1), 1-51, 2015 | 27 | 2015 |
| Learning to decompose for object detection and instance segmentation E Park, AC Berg arXiv preprint arXiv:1511.06449, 2015 | 22 | 2015 |
| Registration of pathological images X Yang, X Han, E Park, S Aylward, R Kwitt, M Niethammer International Workshop on Simulation and Synthesis in Medical Imaging, 97-107, 2016 | 21 | 2016 |
| 2018 low-power image recognition challenge S Alyamkin, M Ardi, A Brighton, AC Berg, Y Chen, HP Cheng, B Chen, ... arXiv preprint arXiv:1810.01732, 2018 | 13 | 2018 |
| Large scale visual recognition challenge 2017 E Park, W Liu, O Russakovsky, J Deng, FF Li, A Berg | 9 | 2017 |
| Rotationally-temporally consistent novel view synthesis of human performance video Y Kwon, S Petrangeli, D Kim, H Wang, E Park, V Swaminathan, H Fuchs European Conference on Computer Vision, 387-402, 2020 | 8 | 2020 |
| Three years of low-power image recognition challenge: Introduction to special session K Gauen, R Dailey, YH Lu, E Park, W Liu, AC Berg, Y Chen 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 700-703, 2018 | 8 | 2018 |
| A Survey of Computer Vision Research for Automotive Systems C Fu, C Wang, E Park University of North Carolina at Chapel Hill, 1-20, 2015 | 2 | 2015 |
| Manifold learning with variational auto-encoder for medical image analysis E Park Technical Report, University of North Carolina at Chapel Hill, 2015 | 2 | 2015 |
| Neural Residual Flow Fields for Efficient Video Representations D Rho, J Cho, JH Ko, E Park arXiv preprint arXiv:2201.04329, 2022 | 1 | 2022 |
Alexander C BergProfessor of Computer Science, University of North Carolina at California Irvineuci.edu의 이메일 확인됨
