Learning Robust Rewards with Adversarial Inverse Reinforcement Learning. - Justin Fu; Katie Luo; Sergey Levine (CoRR, 2017)

Learning Robust Rewards with Adverserial Inverse Reinforcement Learning. - Justin Fu; Katie Luo; Sergey Levine (ICLR (Poster), 2018)

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. - Sergio Casas 002; Cole Gulino; Simon Suo; Katie Luo; Renjie Liao; Raquel Urtasun (ECCV (23), 2020)

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

Safety-Oriented Pedestrian Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (IROS, 2021)

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

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 007; Katie Luo; Yan Wang 051; Marc Emond; Wei-Lun Chao; Bharath Hariharan; et al. (CVPR, 2022)

Learning to Detect Mobile Objects from LiDAR Scans Without Labels. - Yurong You; Katie Luo; Cheng Perng Phoo; Wei-Lun Chao; Wen Sun 002; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger (CVPR, 2022)

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. - Yurong You; Katie Z. Luo; Xiangyu Chen 007; Junan Chen; Wei-Lun Chao; Wen Sun 002; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger (ICLR, 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 001; Kilian Q. Weinberger (NeurIPS, 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 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 (ICCV (Workshops), 2023)

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. - Katie Luo; Zhenzhen Liu; Xiangyu Chen 007; Yurong You; Sagie Benaim; Cheng Perng Phoo; Mark E. Campbell; Wen Sun 002; Bharath Hariharan; Kilian Q. Weinberger (NeurIPS, 2023)

Denoising Vision Transformers. - Jiawei Yang 002; Katie Z. Luo; Jiefeng Li; Congyue Deng; Leonidas J. Guibas; Dilip Krishnan; Kilian Q. Weinberger; Yonglong Tian; Yue Wang 041 (ECCV (85), 2024)

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 Campbell 001; Kilian Q. Weinberger; Bharath Hariharan; Wei-Lun Chao (ICLR, 2024)

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. - Katie Z. Luo; Xinshuo Weng; Yan Wang 051; Shuang Wu; Jie Li; Kilian Q. Weinberger; Yue Wang 041; Marco Pavone 001 (ICRA, 2024)

Better Monocular 3D Detectors with LiDAR from the Past. - Yurong You; Cheng Perng Phoo; Carlos Andres Diaz-Ruiz; Katie Z. Luo; Wei-Lun Chao; Mark E. Campbell; Bharath Hariharan; Kilian Q. Weinberger (ICRA, 2024)

DiffuBox: Refining 3D Object Detection with Point Diffusion. - Xiangyu Chen 007; Zhenzhen Liu; Katie Luo; Siddhartha Datta; Adhitya Polavaram; Yan Wang 051; Yurong You; Boyi Li; Marco Pavone 001; Wei-Lun Chao; Mark E. Campbell; Bharath Hariharan; et al. (NeurIPS, 2024)

Denoising Vision Transformers. - Jiawei Yang 002; Katie Z. Luo; Jiefeng Li; Kilian Q. Weinberger; Yonglong Tian; Yue Wang 041 (CoRR, 2024)

An Abundance of Katherines: The Game Theory of Baby Naming. - Katy Blumer; Kate Donahue; Katie Fritz; Kate Ivanovich; Katherine Lee; Katie Luo; Cathy Meng; Katie Van Koevering (CoRR, 2024)

Orchestrating LLMs with Different Personalizations. - Jin Peng Zhou; Katie Z. Luo; Jingwen Gu; Jason Yuan; Kilian Q. Weinberger; Wen Sun 002 (CoRR, 2024)

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides. - Kunming Li; Mao Shan; Julie Stephany Berrio Perez; Katie Luo; Stewart Worrall 002 (CoRR, 2024)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CVPR, 2025)

Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. - Katie Z. Luo; Minh-Quan Dao; Zhenzhen Liu; Mark E. Campbell; Wei-Lun Chao; Kilian Q. Weinberger; Ezio Malis; Vincent Frémont; Bharath Hariharan; Mao Shan; Stewart Worrall 002; Julie Stephany Berrio Perez (CoRR, 2025)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CoRR, 2025)