Cheng Perng Phoo

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bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Jenna WiensUniversity of MichiganVerified email at umich.edu
Jose Javier Gonzalez OrtizMassachusetts Institute of TechnologyVerified email at mit.edu
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Leonid KarlinskyPrincipal Research Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Kate SaenkoBoston UniversityVerified email at bu.edu
Rameswar PandaResearch Scientist, MIT-IBM Watson AI LabVerified email at ibm.com
Chun-Fu (Richard) ChenJPMorgan Chase & Co.Verified email at jpmchase.com
Samarth MishraBoston UniversityVerified email at bu.edu
Steven BroglioUniversity of MichiganVerified email at umich.edu
Katie Z LuoCornell UniversityVerified email at cornell.edu
Yurong YouCornell UniversityVerified email at cornell.edu
Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Wei-Lun (Harry) Chao 趙偉崙Assistant Professor, The Ohio State UniversityVerified email at osu.edu
Mark CampbellJohn A. Mellowes ‘60 Professor, Cornell UniversityVerified email at cornell.edu
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Claire LiangPhD Student, Cornell UniversityVerified email at cornell.edu
Hadas Kress-GazitCornell UniversityVerified email at cornell.edu

Cheng Perng Phoo

PhD Student , Cornell University

Verified email at cornell.edu - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-training for few-shot transfer across extreme task differences CP Phoo, B Hariharan arXiv preprint arXiv:2010.07734, 2020	63	2020
Heart sound classification based on temporal alignment techniques JJG Ortiz, CP Phoo, J Wiens 2016 computing in cardiology conference (CinC), 589-592, 2016	43	2016
Task2sim: Towards effective pre-training and transfer from synthetic data S Mishra, R Panda, CP Phoo, CFR Chen, L Karlinsky, K Saenko, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	9	2022
Predicting risk of sport-related concussion in collegiate athletes and military cadets: A machine learning approach using baseline data from the CARE Consortium Study J Castellanos, CP Phoo, JT Eckner, L Franco, SP Broglio, M McCrea, ... Sports medicine 51, 567-579, 2021	8	2021
Coarsely-labeled data for better few-shot transfer CP Phoo, B Hariharan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	7	2021
Learning to detect mobile objects from LiDAR scans without labels Y You, K Luo, CP Phoo, WL Chao, W Sun, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	2	2022
Perceiving signs for navigation guidance in spaces designed for humans C Liang, CP Phoo, L Renganathan, Y Yu, B Hariharan, H Kress-Gazit Workshop on Closing the Academia to Real-World Gap in Service Robotics at …, 2020	1	2020
Learning Efficient Models From Few Labels By Distillation From Multiple Tasks K Borup, CP Phoo, B Hariharan
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving Y You, CP Phoo, KZ Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ... Advances in Neural Information Processing Systems, 0
Supplementary for Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data S Mishra, R Panda, CP Phoo, CFR Chen, L Karlinsky, K Saenko, ...
A theoretically grounded characterization of feature representations B Hariharan, CP Phoo

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