Luo, Katie

9 publications

CVPR 2025 S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

NeurIPS 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 Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

ICCVW 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

CVPR 2022 Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions Carlos A. 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 Campbell

CVPR 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 Campbell, Kilian Q. Weinberger

NeurIPS 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

CVPR 2021 Stay Positive: Non-Negative Image Synthesis for Augmented Reality Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie

ECCV 2020 Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

ICLR 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning Justin Fu, Katie Luo, Sergey Levine