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Robotic Interestingness via Human-Informed Few-Shot Object Detection


Aug 01, 2022
Seungchan Kim, Chen Wang, Bowen Li, Sebastian Scherer

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Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image


May 27, 2022
Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong

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AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration


Dec 03, 2021
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer

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* 10 pages, 8 figures 

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Unsupervised Online Learning for Robotic Interestingness with Visual Memory


Nov 19, 2021
Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer

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* Accepted to The IEEE Transactions on Robotics (T-RO). A substantial extension of the ECCV 2020 paper arXiv:2005.08829 

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Semi-supervised Learning for COVID-19 Image Classification via ResNet


Feb 27, 2021
Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong

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Combating the Compounding-Error Problem with a Multi-step Model


May 30, 2019
Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michel L. Littman

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