| Photo-sketching: Inferring contour drawings from images M Li, Z Lin, R Mech, E Yumer, D Ramanan 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1403-1412, 2019 | 136 | 2019 |
| Towards Streaming Perception M Li, YX Wang, D Ramanan 2020 ECCV, 2020 | 112 | 2020 |
| Budgeted training: Rethinking deep neural network training under resource constraints M Li, E Yumer, D Ramanan 2020 ICLR, 2020 | 45 | 2020 |
| Fovea: Foveated image magnification for autonomous navigation C Thavamani, M Li, N Cebron, D Ramanan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 27 | 2021 |
| Complexity of discrete energy minimization problems M Li, A Shekhovtsov, D Huber Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 25 | 2016 |
| Forecasting from lidar via future object detection N Peri, J Luiten, M Li, A Ošep, L Leal-Taixé, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Far3det: Towards far-field 3d detection S Gupta, J Kanjani, M Li, F Ferroni, J Hays, D Ramanan, S Kong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
| An empirical analysis of range for 3d object detection N Peri, M Li, B Wilson, YX Wang, J Hays, D Ramanan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Learning to zoom and unzoom C Thavamani, M Li, F Ferroni, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Neighborhood-aware neural architecture search X Wang, S Cao, M Li, KM Kitani arXiv preprint arXiv:2105.06369, 2021 | 5 | 2021 |
| Brute-force facial landmark analysis with a 140,000-way classifier M Li, L Jeni, D Ramanan 2018 AAAI, 2018 | 5 | 2018 |
| Systems and methods for generating object detection labels using foveated image magnification for autonomous driving N Cebron, DK Ramanan, M Li US Patent App. 17/652,348, 2022 | 3 | 2022 |
| Streaming motion forecasting for autonomous driving Z Pang, D Ramanan, M Li, YX Wang 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Learning lightweight object detectors via multi-teacher progressive distillation S Cao, M Li, J Hays, D Ramanan, YX Wang, L Gui International Conference on Machine Learning, 3577-3598, 2023 | 2 | 2023 |
| Resource-Constrained Learning and Inference for Visual Perception M Li Carnegie Mellon University, 2022 | 1 | 2022 |
| Guaranteed parameter estimation for discrete energy minimization M Li, D Huber 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 473-482, 2017 | 1 | 2017 |
| Learning lightweight object detectors via progressive knowledge distillation S Cao, M Li, J Hays, D Ramanan, YX Wang, L Gui | | 2022 |
| Supplementary Material for Learning to Zoom and Unzoom C Thavamani, M Li, F Ferroni, D Ramanan | | |
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu
