Xiangyu Chen

21 papers A* 10A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learning 3D Perception from Others' Predictions.
ICLR
Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
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
DiffuBox: Refining 3D Object Detection with Point Diffusion.
CoRR
Xiangyu Chen, Zhenzhen Liu, Katie Z. 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
Learning 3D Perception from Others' Predictions.
CoRR
Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2023 A* conf
Learning Iterative Neural Optimizers for Image Steganography.
ICLR
Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2023 J jnl
Learning Iterative Neural Optimizers for Image Steganography.
CoRR
Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2023 A conf
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.
UAI
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
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 J jnl
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery.
CoRR
Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023 A* conf
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
NeurIPS
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023 J jnl
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
CoRR
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2022 A* conf
Fixed Neural Network Steganography: Train the images, not the network.
ICLR
Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger
2022 A* conf
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
ICLR
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 J jnl
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
CoRR
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, 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 J jnl
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.
CoRR
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
2021 J jnl
Low-Precision Reinforcement Learning.
CoRR
Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
2021 A* conf
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision.
ICML
Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
2020 J jnl
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize.
CoRR
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 A* conf
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
CVPR
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao