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Yancong Lin
Yancong Lin
TU Delft / ETH Zurich
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
A self-assessment stereo capture model applicable to the internet of things
Y Lin, J Yang, Z Lv, W Wei, H Song
Sensors 15 (8), 20925-20944, 2015
2102015
Deep Hough-Transform line priors
Y Lin, SL Pintea, JC Van Gemert
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
862020
Quality index for stereoscopic images by jointly evaluating cyclopean amplitude and cyclopean phase
Y Lin, J Yang, W Lu, Q Meng, Z Lv, H Song
IEEE Journal of Selected Topics in Signal Processing 11 (1), 89-101, 2016
432016
Deep vanishing point detection: Geometric priors make dataset variations vanish
Y Lin, R Wiersma, SL Pintea, K Hildebrandt, E Eisemann, JC van Gemert
Conference on Computer Vision and Pattern Recognition, 2022
252022
Semi-Supervised Lane Detection With Deep Hough Transform
Y Lin, SL Pintea, J van Gemert
IEEE International Conference on Image Processing (ICIP), 2021
132021
A step towards understanding why classification helps regression
SL Pintea, Y Lin, J Dijkstra, JC van Gemert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
112023
ICP-Flow: Lidar scene flow estimation with icp
Y Lin, H Caesar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
52024
Investigating transformers in the decomposition of polygonal shapes as point collections
A Alfieri, Y Lin, JC van Gemert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
22021
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
K Armanious, M Quach, M Ulrich, T Winterling, J Friesen, S Braun, ...
arXiv preprint arXiv:2407.12803, 2024
12024
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
J Wei, Y Lin, H Caesar
2024 IEEE International Conference on Robotics and Automation (ICRA), 18258 …, 2024
12024
NeRD++: Improved 3D-mirror symmetry learning from a single image
Y Lin, SL Pintea, J van Gemert
BMVC 2022, 0
1*
Improving the Performance of Object Counting Using Training Images in the Frequency Domain
D Rogmans, Y Lin, S Pintea
2021
Injecting prior frequency information in DETR for wheat head detection
A Prundeanu, Y Lin, A Lengyel, S Pintea
2021
Can object-specific frequency information from labeled data improve a CNN’s robustness to adversarial attacks?
N Mertzanis, N Tömen, Y Lin, A Lengyel
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Articles 1–14