Cheng Perng Phoo

According to our database1, Cheng Perng Phoo authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.
CoRR, 2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.
CoRR, 2023

Emergent Correspondence from Image Diffusion.
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling from Similar Tasks for Transfer Learning on a Budget.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Self-training For Few-shot Transfer Across Extreme Task Differences.
Proceedings of the 9th International Conference on Learning Representations, 2021

Coarsely-labeled Data for Better Few-shot Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2016
Heart Sound Classification Based on Temporal Alignment Techniques.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016


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