Cheng Perng Phoo

According to our database, Cheng Perng Phoo authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scale-Aware Recognition in Satellite Images under Resource Constraint.

Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala

CoRR, 2024

AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery.

Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala

CoRR, 2024

Learning 3D Perception from Others' Predictions.

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

CoRR, 2024

Better Monocular 3D Detectors with LiDAR from the Past.

Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Pre-training LiDAR-based 3D Object Detectors through Colorization.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.

Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Emergent Correspondence from Image Diffusion.

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery.

Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.

Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling from Similar Tasks for Transfer Learning on a Budget.

Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.

Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.

Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data.

Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Self-training For Few-shot Transfer Across Extreme Task Differences.

Cheng Perng Phoo, Bharath Hariharan

Proceedings of the 9th International Conference on Learning Representations, 2021

Coarsely-labeled Data for Better Few-shot Transfer.

Cheng Perng Phoo, Bharath Hariharan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2016

Heart Sound Classification Based on Temporal Alignment Techniques.

Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016