| Sports camera calibration via synthetic data J Chen, JJ Little Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 108 | 2019 |
| Adapting grad-cam for embedding networks L Chen, J Chen, H Hajimirsadeghi, G Mori proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 82 | 2020 |
| Backtracking regression forests for accurate camera relocalization C Meng, Lili and Chen, Jianhui and Tung, Frederick and Little J., James and ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 68 | 2017 |
| Learning online smooth predictors for realtime camera planning using recurrent decision trees J Chen, HM Le, P Carr, Y Yue, JJ Little Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 67 | 2016 |
| Classification of puck possession events in ice hockey MR Tora, J Chen, JJ Little 2017 IEEE conference on computer vision and pattern recognition workshops …, 2017 | 63 | 2017 |
| Mimicking human camera operators J Chen, P Carr 2015 IEEE Winter Conference on Applications of Computer Vision, 215-222, 2015 | 59 | 2015 |
| A Two-Point Method for PTZ Camera Calibration in Sports J Chen, F Zhu, JJ Little 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 287--295, 2018 | 54 | 2018 |
| The raincouver scene parsing benchmark for self-driving in adverse weather and at night F Tung, J Chen, L Meng, JJ Little IEEE Robotics and Automation Letters 2 (4), 2188-2193, 2017 | 49 | 2017 |
| Lightweight convolutional neural networks for player detection and classification K Lu, J Chen, JJ Little, H He Computer Vision and Image Understanding 172, 77-87, 2018 | 38 | 2018 |
| Autonomous camera systems: A survey J Chen, P Carr Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 36 | 2014 |
| Light cascaded convolutional neural networks for accurate player detection K Lu, J Chen, JJ Little, H He British Machine Vision Conference (BMVC), 2017 | 32 | 2017 |
| Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model J Chen, JJ Little Computer Vision and Image Understanding 159, 59-73, 2017 | 30 | 2017 |
| Exploiting Random RGB and Sparse Features for Camera Pose Estimation. L Meng, J Chen, F Tung, JJ Little, CW de Silva BMVC, 2016 | 23 | 2016 |
| Calibration for high-definition camera rigs with marker chessboard J Chen, K Benzeroual, RS Allison 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 22 | 2012 |
| Camera selection for broadcasting soccer games J Chen, L Meng, JJ Little 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 427-435, 2018 | 16 | 2018 |
| Pan-tilt-zoom SLAM for sports videos J Lu, J Chen, JJ Little arXiv preprint arXiv:1907.08816, 2019 | 15 | 2019 |
| Babelcalib: A universal approach to calibrating central cameras Y Lochman, K Liepieshov, J Chen, M Perdoch, C Zach, J Pritts Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Image re-targeting with balanced energy map and foreground constraint J Chen, L Miao, X Liu World Wide Web 14, 281-292, 2011 | 12 | 2011 |
| Information-theoretic online multi-camera extrinsic calibration E Dexheimer, P Peluse, J Chen, J Pritts, M Kaess IEEE Robotics and Automation Letters 7 (2), 4757-4764, 2022 | 11 | 2022 |
| Learning sports camera selection from internet videos J Chen, K Lu, S Tian, J Little 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1682-1691, 2019 | 10 | 2019 |
James LittleProfessor Emeritus, Computer Science, University of British ColumbiaBestätigte E-Mail-Adresse bei cs.ubc.ca
