Cheng Perng Phoo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Transfer Learning

Minimum Bounding

Object Detectors

Top Venues

Publications

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
Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. ICRA (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. CoRR (2024)
Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment. ICLR (2024)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR (2023)
Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment. CoRR (2023)
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
Emergent Correspondence from Image Diffusion. NeurIPS (2023)
Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan
Distilling from Similar Tasks for Transfer Learning on a Budget. CoRR (2023)
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
Emergent Correspondence from Image Diffusion. CoRR (2023)
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR (2023)
Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR (2023)
Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR (2023)
Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS (2023)
Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan
Distilling from Similar Tasks for Transfer Learning on a Budget. ICCV (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) (2023)
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR (2022)
Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR (2022)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR (2022)
Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. NeurIPS (2022)
Cheng Perng Phoo, Bharath Hariharan
Self-training For Few-shot Transfer Across Extreme Task Differences. ICLR (2021)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR (2021)
Cheng Perng Phoo, Bharath Hariharan
Coarsely-labeled Data for Better Few-shot Transfer. ICCV (2021)
Cheng Perng Phoo, Bharath Hariharan
Self-training for Few-shot Transfer Across Extreme Task Differences. CoRR (2020)
Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens
Heart Sound Classification Based on Temporal Alignment Techniques. CinC (2016)