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Kaicheng Yu
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BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection


Mar 15, 2023
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

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Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask


Feb 14, 2023
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou

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* Project website: https://zju3dv.github.io/paintingnature/ 
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$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling


Nov 18, 2022
Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Chen, Shibo He, Jiming Chen, Kaicheng Yu

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Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers


Oct 16, 2022
Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang

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Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection


May 30, 2022
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang

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* Technical report. The first three authors contribute equally 
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BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework


May 27, 2022
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang

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Knowledge Distillation via the Target-aware Transformer


May 22, 2022
Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang

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* CVPR2022(Oral) 
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NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy


Feb 11, 2022
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter

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* ICLR 2022 
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An Analysis of Super-Net Heuristics in Weight-Sharing NAS


Oct 04, 2021
Kaicheng Yu, René Ranftl, Mathieu Salzmann

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* Accepted to T-PAMI 
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