Follow
Dennis Park
Dennis Park
Cruise
Verified email at getcruise.com
Title
Cited by
Cited by
Year
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
3452021
Multiresolution models for object detection
D Park, D Ramanan, C Fowlkes
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
3162010
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
1712013
N-best maximal decoders for part models
D Park, D Ramanan
2011 International Conference on Computer Vision, 2627-2634, 2011
1522011
Articulated pose estimation with tiny synthetic videos
D Park, D Ramanan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
722015
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
462023
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
262018
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
252022
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
182021
Single-shot scene reconstruction
S Zakharov, RA Ambrus, VC Guizilini, D Park, W Kehl, F Durand, ...
5th Annual Conference on Robot Learning, 2021
162021
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
142024
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
122022
Motion stabilization and detection of articulated objects
P Dollar, CL Zitnick III, DI Park
US Patent 8,977,060, 2015
112015
Shadows shed light on 3D objects
R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick
arXiv preprint arXiv:2206.08990, 2022
92022
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
82023
Predictive impairment monitor system and method
N Arechiga-gonzalez, S Kong, J DeCastro, F Permenter, D Park
US Patent 11,518,408, 2022
62022
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
32022
Structural object detector for hierarchical ontology for traffic light handling
KH Chen, DI Park, J Li
US Patent 12,073,632, 2024
22024
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
22023
System and method for training a multi-task model
D Park, AD Gaidon
US Patent 12,086,695, 2024
12024
The system can't perform the operation now. Try again later.
Articles 1–20