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ORCIDCheng Perng Phoo
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2020 – today
- 2024
[c13]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- [c12]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 - [c11]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: 6634-6641 - [i14]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 abs/2404.05139 (2024) - [i13]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:
Learning 3D Perception from Others' Predictions. CoRR abs/2410.02646 (2024) - [i12]Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery. CoRR abs/2410.23891 (2024) - [i11]Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Scale-Aware Recognition in Satellite Images under Resource Constraint. CoRR abs/2411.00210 (2024) - 2023
- [c10]Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan:
Distilling from Similar Tasks for Transfer Learning on a Budget. ICCV 2023: 11397-11407 - [c9]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: 4042-4048 - [c8]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 - [c7]Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan:
Emergent Correspondence from Image Diffusion. NeurIPS 2023 - [i10]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 abs/2303.15286 (2023) - [i9]Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan:
Distilling from Similar Tasks for Transfer Learning on a Budget. CoRR abs/2304.12314 (2023) - [i8]Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan:
Emergent Correspondence from Image Diffusion. CoRR abs/2306.03881 (2023) - [i7]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 abs/2309.12140 (2023) - [i6]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 abs/2310.14592 (2023) - [i5]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 abs/2310.19080 (2023) - [i4]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 abs/2312.06960 (2023) - 2022
- [c6]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: 1120-1130 - [c5]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: 9184-9194 - [c4]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 - [i3]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 abs/2203.15882 (2022) - 2021
- [c3]Cheng Perng Phoo, Bharath Hariharan:
Coarsely-labeled Data for Better Few-shot Transfer. ICCV 2021: 9032-9041 - [c2]Cheng Perng Phoo, Bharath Hariharan:
Self-training For Few-shot Transfer Across Extreme Task Differences. ICLR 2021 - [i2]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 abs/2112.00054 (2021) - 2020
- [i1]Cheng Perng Phoo, Bharath Hariharan:
Self-training for Few-shot Transfer Across Extreme Task Differences. CoRR abs/2010.07734 (2020)
2010 – 2019
- 2016
- [c1]Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens:
Heart Sound Classification Based on Temporal Alignment Techniques. CinC 2016
Coauthor Index
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