Katie Luo

According to our database, Katie Luo authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Denoising Vision Transformers.

Jiawei Yang, Katie Z. Luo, Jiefeng Li, Kilian Q. Weinberger, Yonglong Tian, Yue Wang

CoRR, 2024

2023

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone

CoRR, 2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.

Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao

CoRR, 2023

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery.

Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.

Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis.

Flora Yu Shen, Katie Luo, Guandao Yang, Harald Haraldsson, Serge J. Belongie

CoRR, 2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.

Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.

Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.

Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.

Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.

Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun

CoRR, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.

Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Stay Positive: Non-Negative Image Synthesis for Augmented Reality.

Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.

Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Learning Robust Rewards with Adverserial Inverse Reinforcement Learning.

Justin Fu, Katie Luo, Sergey Levine

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.

Justin Fu, Katie Luo, Sergey Levine

CoRR, 2017