Prune Truong

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Prune Truong

PhD student in the Computer Vision Lab @ ETH Zurich

Since May 2020, I am a PhD student under the supervision of Prof. Luc Van Gool. I am also advised by Dr. Martin Danelljan. My main research interests are Computer Vision and its applications, especially in the task of image matching. Previously, I obtained a Master’s degree in Mechanical Engineering with honors at ETH Zurich. I also conducted an internship at RetinAI focused on computer vision applied to medical images.

News

03/2021:

Our paper Learning Accurate Dense Correspondences and When to Trust Them (PDC-Net) was accepted at CVPR 2021 as an ORAL !

09/2020:

Our paper GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network was accepted at NeurIPS 2020 !

08/2020:

We just released a new pre-print GOCor. Code will be released soon here !

05/2020:

I started my PhD at the Computer Vision Lab of Prof. Luc Van Gool.

04/2020:

Our paper GLU-Net got accepted to CVPR 2020 for oral presentation ! Check out the code !

10/2019:

My first paper GLAMpoints was accepted at ICCV 2019. Check out the code !

04/2019:

I started my master thesis at the Computer Vision Lab of Prof. Luc Van Gool, supervised by Dr. Martin Danelljan and Dr. Radu Timofte.

09/2018:

I started a 6-months internship in RetinAI, a start-up focused on computer vision applied to opthalmology.

Research

PDC-Net [CVPR 2021 - ORAL]

Dense image matching, confidence estimation, probabilistic model

arXivGitHub

GOCor [NeurIPS 2020]

Feature correlation layer, online optimization, novel correlation layer, dense matching

GLU-Net [CVPR 2020 - ORAL]

Dense image matching, optical flow, geometric matching, semantic matching

GLAMpoints [ICCV 2019]

Key-point detection, image registration and mosaics, medical data

© Prune Truong 2021