| Is pseudo-lidar needed for monocular 3d object detection? D Park, R Ambrus, V Guizilini, J Li, A Gaidon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 342 | 2021 |
| Multiresolution models for object detection D Park, D Ramanan, C Fowlkes Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 316 | 2010 |
| Exploring weak stabilization for motion feature extraction D Park, CL Zitnick, D Ramanan, P Dollár Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 171 | 2013 |
| N-best maximal decoders for part models D Park, D Ramanan 2011 International Conference on Computer Vision, 2627-2634, 2011 | 152 | 2011 |
| Articulated pose estimation with tiny synthetic videos D Park, D Ramanan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 72 | 2015 |
| Making large multimodal models understand arbitrary visual prompts M Cai, H Liu, S Karthik Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee arXiv e-prints, arXiv: 2312.00784, 2023 | 40 | 2023 |
| Behavior is everything: Towards representing concepts with sensorimotor contingencies N Hay, M Stark, A Schlegel, C Wendelken, D Park, E Purdy, T Silver, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| Scene synthesis from human motion S Ye, Y Wang, J Li, D Park, CK Liu, H Xu, J Wu SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 22 | 2022 |
| Warp-refine propagation: Semi-supervised auto-labeling via cycle-consistency A Ganeshan, A Vallet, Y Kudo, S Maeda, T Kerola, R Ambrus, D Park, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 18 | 2021 |
| Single-shot scene reconstruction S Zakharov, RA Ambrus, VC Guizilini, D Park, W Kehl, F Durand, ... 5th Annual Conference on Robot Learning, 2021 | 16 | 2021 |
| ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts M Cai, H Liu, SK Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Revealing occlusions with 4d neural fields B Van Hoorick, P Tendulkar, D Surís, D Park, S Stent, C Vondrick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Motion stabilization and detection of articulated objects P Dollar, CL Zitnick III, DI Park US Patent 8,977,060, 2015 | 11 | 2015 |
| Shadows shed light on 3D objects R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick arXiv preprint arXiv:2206.08990, 2022 | 9 | 2022 |
| Depth is all you need for monocular 3d detection D Park, J Li, D Chen, V Guizilini, A Gaidon 2023 IEEE International Conference on Robotics and Automation (ICRA), 7024-7031, 2023 | 8 | 2023 |
| Predictive impairment monitor system and method N Arechiga-gonzalez, S Kong, J DeCastro, F Permenter, D Park US Patent 11,518,408, 2022 | 6 | 2022 |
| Method and system for generating training data E Eyjolfsdottir, M Stark, M Carra, M Gangwar, A Schlegel, K Yuvaraj, ... US Patent 11,275,942, 2022 | 3 | 2022 |
| Structural object detector for hierarchical ontology for traffic light handling KH Chen, DI Park, J Li US Patent 12,073,632, 2024 | 2 | 2024 |
| What you can reconstruct from a shadow R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| System and method for training a multi-task model D Park, AD Gaidon US Patent 12,086,695, 2024 | 1 | 2024 |
Deva RamananProfessor, Robotics Institute, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
