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Junjun Jiang

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Guided Depth Map Super-resolution: A Survey

Mar 07, 2023
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji

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Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report

Nov 07, 2022
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun

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Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation

Oct 05, 2022
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji

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LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices

Sep 02, 2022
Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang

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Prototype-Anchored Learning for Learning with Imperfect Annotations

Jun 23, 2022
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

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Learning Towards the Largest Margins

Jun 23, 2022
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

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Towards Model Generalization for Monocular 3D Object Detection

May 28, 2022
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang

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ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation

May 25, 2022
Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu

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