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SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

Apr 10, 2022
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li

* IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 

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Measuring what Really Matters: Optimizing Neural Networks for TinyML

Apr 21, 2021
Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele

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RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

Oct 23, 2020
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois Knoll

* Accepted to NeurIPS 2020 

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Deep Partial Updating

Jul 06, 2020
Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele

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Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset

May 01, 2020
Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang

* submit to the Frontiers Neurorobotics 

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Adaptive Loss-aware Quantization for Multi-bit Networks

Dec 18, 2019
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele

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Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture

Oct 15, 2018
Guang Chen, Shu Liu, Kejia Ren, Zhongnan Qu, Changhong Fu, Gereon Hinz, Alois Knoll

* 7 pages, 6 figures, 1 table 

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