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Xianming Liu

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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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GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting

May 15, 2022
Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu

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Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

Apr 27, 2022
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang

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Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Apr 18, 2022
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji

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BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

Apr 03, 2022
Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang

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DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation

Mar 27, 2022
Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang

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