Katie Luo - RankMe

24 papers A* 7A 2Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning. CoRR Milan Ganai, Katie Luo, Jonas Frey, Clark W. Barrett, Marco Pavone
2025	A	`conf`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. IROS Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. CoRR Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	A*	`conf`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. CVPR 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
2025	J	`jnl`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. CoRR 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
2024	J	`jnl`	An Abundance of Katherines: The Game Theory of Baby Naming. CoRR Katy Blumer, Kate Donahue, Katie Fritz, Kate Ivanovich, Katherine Lee, Katie Luo, Cathy Meng, Katie Van Koevering
2024	A*	`conf`	DiffuBox: Refining 3D Object Detection with Point Diffusion. NeurIPS Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides. CoRR Kunming Li, Mao Shan, Julie Stephany Berrio Perez, Katie Luo, Stewart Worrall
2023	A*	`conf`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	—	`conf`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	A*	`conf`	Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR 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
2022	J	`jnl`	Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CoRR 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 Campbell
2022	A*	`conf`	Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis. CoRR Flora Yu Shen, Katie Luo, Guandao Yang, Harald Haraldsson, Serge J. Belongie
2022	J	`jnl`	Stay Positive: Non-Negative Image Synthesis for Augmented Reality. CoRR Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie
2022	A*	`conf`	Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. NeurIPS Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2021	J	`jnl`	Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
2021	A	`conf`	Safety-Oriented Pedestrian Occupancy Forecasting. IROS Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
2021	A*	`conf`	Stay Positive: Non-Negative Image Synthesis for Augmented Reality. CVPR Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie
2020	—	`conf`	Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. ECCV (23) Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2020	J	`jnl`	Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. CoRR Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2018	—	`conf`	Learning Robust Rewards with Adverserial Inverse Reinforcement Learning. ICLR (Poster) Justin Fu, Katie Luo, Sergey Levine
2017	J	`jnl`	Learning Robust Rewards with Adversarial Inverse Reinforcement Learning. CoRR Justin Fu, Katie Luo, Sergey Levine