Research
I am enthusiastic about data-efficient learning by pre-wiring deep networks with generic innate priors. My research is about re-parameterizing old-school feature engineering for end2end learning, where inductive knowledge no longer needs to be learned from big data. I have been working on a variety of tasks on 2D/3D scene parsing, industrial inspection and autonomous driving. The ultimate goal is to better understand the man-made world without relying on large manually labeled datasets.
|
News
13/07/2023   Our submission to ICCV'23 got accepted! A step towards understanding why classification helps regression.
26/06/2023   Nafie successfully defended his master thesis: BladeNeRF. BladeNeRF. Cum laude!
19/10/2022   I am an outstanding reviewer, ECCV'22!
01/10/2022   Postdoc at the Intelligent Vehicles Group, 3mE, TUDelft.
30/09/2022   Our submission to BMVC'22 on mirror symmetries got accepted!
21/05/2022   I am an outstanding reviewer, CVPR'22!
25/04/2022   I have successfully defended my phd dissertation!
03/03/2022   Our submission to CVPR'22 on vanishing points got accepted!
01/01/2022   New project with an industrial partner: computer vision for aircraft engine inspection.
18/08/2021   Our submission to ICCV'21 workshop (Deep Learning for Geometric Computing): Best student paper award!
23/07/2021   ICCV'21 workshop: 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop,
12/07/2021   Congrats to Andrea on defending his master thesis!
26/05/2021   Our submission to ICIP'21 got accepted!
01/10/2020   Congrats to Kang Lang on defending his master thesis!
23/08/2020   ECCV'20 workshop: 1st Visual Inductive Priors for Data-Efficient Deep Learning Workshop,
04/07/2020   Our submission to ECCV'20 on wireframe parsing got accepted!
|
Publications
|
 |
Data-efficient learning of geometric structures from single-view images
Yancong Lin
PhD dissertation, 2022
PDF
Key words: geometric priors, wireframes, vanishing points, polygons, planes.
|
 |
A step towards understanding why classification helps regression
Silvia-Laura Pintea,
Yancong Lin,
Jouke Dijkstra,
Silvia-Laura Pintea,
Jan van Gemert
ICCV, 2023
arXiv /
Code
For a regression task, if the data sampling is imbalanced, then add a classification loss.
|
 |
Deep Vanishing Point Detection: Geometric priors make dataset variations vanish
Yancong Lin,
Ruben Wiserma,
Silvia-Laura Pintea,
Klaus Hildebrandt,
Elmar Eisemann,
Jan van Gemert
CVPR, 2022
arXiv /
Code
Hough Transform and Gaussian sphere priors for data-efficient and domain-robust vanishing point detection.
|
 |
NeRD++: Improved 3D-mirror symmetry learning from a single image
Yancong Lin,
Silvia-Laura Pintea,
Jan van Gemert
BMVC, 2022
arXiv /
Code
Detecting 3D mirror plane from a single image, using feature correlations, mirroring, multi-scale spherical convs.
|
 |
Investigating transformers in the decomposition of polygonal shapes as point collections
Andrea Alfieri,
Yancong Lin,
Jan van Gemert
ICCV Workshop (Best student paper!), 2021
arXiv
Exploit auto-regressive and parallel transformers in predicting collections of points (polygons).
|
 |
Semi-Supervised Lane Detection with Deep Hough Transform
Yancong Lin,
Silvia-Laura Pintea,
Jan van Gemert
ICIP, 2021
Code /
arXiv
Exploit lane representations in the Hough space from unlabel data.
|
 |
Deep Hough Transform Line Priors
Yancong Lin,
Silvia-Laura Pintea,
Jan van Gemert
ECCV, 2020
Code /
arXiv
Reduce data dependency by adding line priors through a trainable Hough transform module.
|
 |
Quality Index for Stereoscopic Images by Jointly Evaluating Cyclopean Amplitude and Cyclopean Phase
Yancong Lin,
Jiachen Yang, Wen Lu, Qinggang Meng, Zhihan Lv, Houbing Song
IEEE Journal of Selected Topics in Signal Processing, 2016
Stereo image quality assessment using binocular vision models and low-level features.
Core contribution of master thesis.
|
Reviewer: CVPR/ICCV/ECCV, IEEE Transactions on Image Processing.
Teaching Assistant: CS4245 Computer Vision by Deep Learning, 2019/2020 Q4.
Teaching Assistant: IN4393 Computer Vision, 2018/19 Q3.
Project: Real-time display of 3D scenes from 16 cameras (30 FPS, 1920 × 1080), 2016.
Internship: Institute of Automation, Chinese Academy of Science, Beijing, 07/2016–10/2016.
Awards: National Scholarship, Ministry of Education, 2016.
Skills: Python, C++, CUDA.
Fitness / Formula 1 / Premier League / NBA
|