| Emergent correspondence from image diffusion L Tang, M Jia, Q Wang, CP Phoo, B Hariharan Advances in Neural Information Processing Systems 36, 1363-1389, 2023 | 245 | 2023 |
| Self-training for few-shot transfer across extreme task differences CP Phoo, B Hariharan arXiv preprint arXiv:2010.07734, 2020 | 133 | 2020 |
| Heart sound classification based on temporal alignment techniques JJG Ortiz, CP Phoo, J Wiens 2016 computing in cardiology conference (CinC), 589-592, 2016 | 69 | 2016 |
| 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 | 41 | 2022 |
| 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 | 36 | 2022 |
| Remote sensing vision-language foundation models without annotations via ground remote alignment U Mall, CP Phoo, MK Liu, C Vondrick, B Hariharan, K Bala arXiv preprint arXiv:2312.06960, 2023 | 23 | 2023 |
| 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 | 20 | 2021 |
| Unsupervised adaptation from repeated traversals for autonomous driving Y You, CP Phoo, K Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ... Advances in Neural Information Processing Systems 35, 27716-27729, 2022 | 18 | 2022 |
| Coarsely-labeled data for better few-shot transfer CP Phoo, B Hariharan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 11 | 2021 |
| Reward finetuning for faster and more accurate unsupervised object discovery K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ... Advances in Neural Information Processing Systems 36, 13250-13266, 2023 | 9 | 2023 |
| Chun-Fu (Richard) Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, and Rogerio S. Feris. Task2sim: Towards effective pre-training and transfer from synthetic data S Mishra, R Panda, CP Phoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| Pre-Training LiDAR-Based 3D Object Detectors Through Colorization TY Pan, C Ma, T Chen, CP Phoo, KZ Luo, Y You, M Campbell, ... arXiv preprint arXiv:2310.14592, 2023 | 3 | 2023 |
| Distilling from Similar Tasks for Transfer Learning on a Budget K Borup, CP Phoo, B Hariharan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Better Monocular 3D Detectors with LiDAR from the Past Y You, CP Phoo, CA Diaz-Ruiz, KZ Luo, WL Chao, M Campbell, ... arXiv preprint arXiv:2404.05139, 2024 | 1 | 2024 |
| 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 |
| Scale-Aware Recognition in Satellite Images under Resource Constraint S Revankar, CP Phoo, U Mall, B Hariharan, K Bala arXiv preprint arXiv:2411.00210, 2024 | | 2024 |
| AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery H Zhou, CH Kao, CP Phoo, U Mall, B Hariharan, K Bala arXiv preprint arXiv:2410.23891, 2024 | | 2024 |
| Learning 3D Perception from Others' Predictions J Yoo, Z Feng, TY Pan, Y Sun, CP Phoo, X Chen, M Campbell, ... arXiv preprint arXiv:2410.02646, 2024 | | 2024 |
| Toward Perception Models Beyond Internet Applications CP Phoo Cornell University, 2024 | | 2024 |
| Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features T Zhang, K Luo, CP Phoo, Y You, WL Chao, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
