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Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations


Sep 26, 2022
Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit

* 16 pages, 10 figures 

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ALBench: A Framework for Evaluating Active Learning in Object Detection


Aug 10, 2022
Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang


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YMIR: A Rapid Data-centric Development Platform for Vision Applications


Nov 27, 2021
Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang


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Generative Modeling for Small-Data Object Detection


Oct 16, 2019
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li

* Published in ICCV 2019 

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Feature Partitioning for Efficient Multi-Task Architectures


Aug 12, 2019
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng


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Composing Text and Image for Image Retrieval - An Empirical Odyssey


Dec 18, 2018
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays


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Vision-Based Gait Analysis for Senior Care


Dec 01, 2018
David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection


Dec 01, 2018
JIyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia

* 8 pages 

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