Qingkun SU
Qingkun SU
在 ust.hk 的电子邮件经过验证
标题
引用次数
引用次数
年份
EZ-sketching: three-level optimization for error-tolerant image tracing.
Q Su, WHA Li, J Wang, H Fu
ACM Trans. Graph. 33 (4), 54:1-54:9, 2014
292014
Image-based building regularization using structural linear features
J Wang, T Fang, Q Su, S Zhu, J Liu, S Cai, CL Tai, L Quan
IEEE transactions on visualization and computer graphics 22 (6), 1760-1772, 2015
192015
Sketch-R2CNN: An attentive network for vector sketch recognition
L Li, C Zou, Y Zheng, Q Su, H Fu, CL Tai
arXiv preprint arXiv:1811.08170, 2018
142018
Live sketch: Video-driven dynamic deformation of static drawings
Q Su, X Bai, H Fu, CL Tai, J Wang
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
102018
2D-dragger: unified touch-based target acquisition with constant effective width
Q Su, OKC Au, P Xu, H Fu, CL Tai
Proceedings of the 18th International Conference on Human-Computer …, 2016
62016
Sketch-r2cnn: An rnn-rasterization-cnn architecture for vector sketch recognition
L Li, C Zou, Y Zheng, Q Su, H Fu, CL Tai
IEEE transactions on visualization and computer graphics, 2020
52020
CoLDImage: Contrast and luminance distribution for content-based image retrieval
Q Su, Y Huang, J Peng
2011 International Conference on Image Analysis and Signal Processing, 143-146, 2011
32011
MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
R Shrestha, Z Fan, Q Su, Z Dai, S Zhu, P Tan
arXiv preprint arXiv:2010.08682, 2020
2020
Facilitation of error tolerant image tracing optimization
H Fu, Q Su, WHA Li
US Patent 9,542,043, 2017
2017
本文发表于 CHI2018, 作者是
Q Su, X Bai, H Fu, CL Tai, J Wang
Graphics Seminar Series
L Li, C Zou, Y Zheng, Q Su, H Fu, CL Tai
Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition
LLC Zou, Y Zheng, Q Su, H Fu, CL Tai
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