Botao Ye

I am a PhD student at ETH Zurich, supervised by Prof. Marc Pollefeys and Prof. Davide Scaramuzza. I am also a Doctoral Fellow at ETH AI Center.

I completed my master's degree at the Institute of Computing Technology, Chinese Academy of Sciences, where I was lucky enough to be supervised by Prof. Hong Chang. I was also very fortunate to work with Prof. Ming-Hsuan Yang. I obtained my bachelor's degree at Zhejiang University.

Email  /  Scholar  /  Twitter  /  Github

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Research

I have broad interests in computer vision, and now mainly working on 3D vision and generative models.

NoPoSplat: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng
project page / code

A feed-forward model that reconstructs scenes from unposed images, demonstrating superior performance in both novel view synthesis and pose estimation.

Self-supervised Super-plane for Neural 3D Reconstruction
Botao Ye, Sifei Liu, Xueting Li, Ming-Hsuan Yang
Computer Vision and Pattern Recognition (CVPR), 2023
code

A self-supervised super-plane constraint for neural implicit 3D reconstruction.

Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
European Conference on Computer Vision (ECCV), 2022
code

An efficeint one-stream framework for visual object tracking.

Exploring Geometric Consistency for Monocular 3D Object Detection
Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang
Computer Vision and Pattern Recognition (CVPR), 2022

Exploring geometrically consistent data augmentation methods for monocular 3D object detection.

Awards

Academic Services

  • Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, 3DV
  • Journal Reviewer: TPAMI, IJCV, TIP

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