Katie Z Luo
Cited by
Cited by
Learning robust rewards with adversarial inverse reinforcement learning
J Fu, K Luo, S Levine
arXiv preprint arXiv:1710.11248, 2017
Implicit latent variable model for scene-consistent motion forecasting
S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Ithaca365: Dataset and driving perception under repeated and challenging weather conditions
CA Diaz-Ruiz, Y Xia, Y You, J Nino, J Chen, J Monica, X Chen, K Luo, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Learning to detect mobile objects from lidar scans without labels
Y You, K Luo, CP Phoo, WL Chao, W Sun, B Hariharan, M Campbell, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Hindsight is 20/20: Leveraging past traversals to aid 3d perception
Y You, KZ Luo, X Chen, J Chen, WL Chao, W Sun, B Hariharan, ...
arXiv preprint arXiv:2203.11405, 2022
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Y You, CP Phoo, KZ Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ...
Proceedings of the Conference on Neural Information Processing Systems, 2022
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2021
Augmenting lane perception and topology understanding with standard definition navigation maps
KZ Luo, X Weng, Y Wang, S Wu, J Li, KQ Weinberger, Y Wang, M Pavone
arXiv preprint arXiv:2311.04079, 2023
Stay positive: Non-negative image synthesis for augmented reality
K Luo, G Yang, W Xian, H Haraldsson, B Hariharan, S Belongie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Denoising vision transformers
J Yang, KZ Luo, J Li, KQ Weinberger, Y Tian, Y Wang
arXiv preprint arXiv:2401.02957, 2024
Reward finetuning for faster and more accurate unsupervised object discovery
K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ...
Advances in Neural Information Processing Systems 36, 13250-13266, 2023
Better Monocular 3D Detectors with LiDAR from the Past
Y You, CP Phoo, CA Diaz-Ruiz, KZ Luo, WL Chao, M Campbell, ...
arXiv preprint arXiv:2404.05139, 2024
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
TY Pan, C Ma, T Chen, CP Phoo, KZ Luo, Y You, M Campbell, ...
arXiv preprint arXiv:2310.14592, 2023
Orchestrating LLMs with Different Personalizations
JP Zhou, KZ Luo, J Gu, J Yuan, KQ Weinberger, W Sun
arXiv preprint arXiv:2407.04181, 2024
DiffuBox: Refining 3D Object Detection with Point Diffusion
X Chen, Z Liu, KZ Luo, S Datta, A Polavaram, Y Wang, Y You, B Li, ...
arXiv preprint arXiv:2405.16034, 2024
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
T Zhang, K Luo, CP Phoo, Y You, WL Chao, B Hariharan, M Campbell, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis
FY Shen, K Luo, G Yang, H Haraldsson, S Belongie
arXiv preprint arXiv:2202.04036, 2022
The system can't perform the operation now. Try again later.
Articles 1–17