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Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR


Sep 21, 2022
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni

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DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction


Sep 20, 2022
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

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* Accepted by European Conference on Computer Vision 2022 (ECCV2022) 

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No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces


Mar 23, 2022
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

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* To appear at CVPR 2022 (Source Code: https://github.com/jx-zhong-for-academic-purpose/Kinet

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DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture


Sep 13, 2021
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

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Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling


Jul 03, 2020
Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa Angelini, Yike Guo, Wenjia Bai

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* Paper accepted by MICCAI 2020 

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