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Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation

Aug 07, 2021
Haonan Peng, Shan Lin, Daniel King, Yun-Hsuan Su, Randall A. Bly, Kris S. Moe, Blake Hannaford

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Multi-Domain Adversarial Feature Generalization for Person Re-Identification

Nov 25, 2020
Shan Lin, Chang-Tsun Li, Alex C. Kot

* TIP (Accept with Mandatory Minor Revisions) 

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Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video

Nov 17, 2020
Shan Lin, Fangbo Qin, Haonan Peng, Randall A. Bly, Kris S. Moe, Blake Hannaford

* Submitted to ICRA 2021 

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LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images

Mar 10, 2020
Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford

* Submitted to 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas

Mar 03, 2020
Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin

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Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision

Feb 25, 2020
Fangbo Qin, Shan Lin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford

* Submitted to IEEE Robotics and Automation Letters 

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Generalization Bounds for Convolutional Neural Networks

Oct 03, 2019
Shan Lin, Jingwei Zhang

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Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework

Dec 11, 2018
Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-tsun Li

* Accepted by AusDM 2018 

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Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification

Jul 11, 2018
Shan Lin, Haoliang Li, Chang-Tsun Li, Alex Chichung Kot

* Accepted by BMVC 2018 as Spotlight 

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