Publications

Xiangyu Chen*, Zhenzhen Liu*, Katie Z Luo*, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger (2024). DiffuBox: Refining 3D Object Detection with Point Diffusion. In NeurIPS 2024.

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Jiawei Yang*, Katie Z Luo*, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang (2024). Denoising Vision Transformers. In ECCV 2024 (Oral).

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Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao (2024). Pre-training LiDAR-based 3D Object Detectors through Colorization. In ICLR 2024.

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

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

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

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Yurong You*, Katie Z Luo*, Cheng Perng Phoo*, Travis Zhang, Mark Campbell, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger (2022). Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. In NeurIPS 2022.

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

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Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger (2022). Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. In BRAVO Workshop, ICCV 2023.

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Carlos Andres Diaz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Z Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell (2022). Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. In CVPR 2022.

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Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger (2022). Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. In ICLR 2022.

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Flora Yu Shen, Katie Luo, Guandao Yang, Harald Haraldsson, Serge Belongie (2021). Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis. In CV4ARVR Workshop, ICCV 2021.

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

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

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

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Justin Fu, Katie Luo, Sergey Levine (2017). Learning robust rewards with adversarial inverse reinforcement learning. In ICLR 2018.

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