Hanhe Lin
Hanhe Lin
Postdoc in Computer Science, University of Konstanz
Verified email at uni-konstanz.de - Homepage
TitleCited byYear
The Konstanz natural video database (KoNViD-1k)
V Hosu, F Hahn, M Jenadeleh, H Lin, H Men, T Szirányi, S Li, D Saupe
2017 Ninth international conference on quality of multimedia experience …, 2017
232017
KonIQ-10K: Towards an ecologically valid and large-scale IQA database
H Lin, V Hosu, D Saupe
arXiv preprint arXiv:1803.08489, 2018
192018
Empirical evaluation of no-reference VQA methods on a natural video quality database
H Men, H Lin, D Saupe
2017 Ninth international conference on quality of multimedia experience …, 2017
102017
Online weighted clustering for real-time abnormal event detection in video surveillance
H Lin, JD Deng, BJ Woodford, A Shahi
Proceedings of the 24th ACM international conference on Multimedia, 536-540, 2016
102016
Anomaly detection in crowd scenes via online adaptive one-class support vector machines
H Lin, JD Deng, BJ Woodford
2015 IEEE International Conference on Image Processing (ICIP), 2434-2438, 2015
102015
Spatiotemporal feature combination model for no-reference video quality assessment
H Men, H Lin, D Saupe
2018 Tenth international conference on quality of multimedia experience …, 2018
92018
Predicting sensitive relationships from email corpus
H Lin
2010 Fourth International Conference on Genetic and Evolutionary Computing …, 2010
72010
KADID-10k: A large-scale artificially distorted IQA database
H Lin, V Hosu, D Saupe
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
62019
Expertise screening in crowdsourcing image quality
V Hosu, H Lin, D Saupe
2018 Tenth International Conference on Quality of Multimedia Experience …, 2018
62018
Disregarding the big picture: Towards local image quality assessment
O Wiedemann, V Hosu, H Lin, D Saupe
2018 Tenth International Conference on Quality of Multimedia Experience …, 2018
52018
Technical report on visual quality assessment for frame interpolation
H Men, H Lin, V Hosu, D Maurer, A Bruhn, D Saupe
arXiv preprint arXiv:1901.05362, 2019
42019
Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach
A Shahi, BJ Woodford, H Lin
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 26-38, 2017
42017
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
V Hosu, H Lin, T Sziranyi, D Saupe
IEEE Transactions on Image Processing, 2020
32020
Shot boundary detection using multi-instance incremental and decremental one-class support vector machine
H Lin, JD Deng, BJ Woodford
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 165-176, 2016
32016
Visual quality assessment for motion compensated frame interpolation
H Men, H Lin, V Hosu, D Maurer, A Bruhn, D Saupe
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
22019
SUR-Net: Predicting the satisfied user ratio curve for image compression with deep learning
C Fan, H Lin, V Hosu, Y Zhang, Q Jiang, R Hamzaoui, D Saupe
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
22019
Event detection using quantized binary code and spatial-temporal locality preserving projections
H Lin, JD Deng, BJ Woodford
Australasian Joint Conference on Artificial Intelligence, 123-134, 2013
22013
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis
H Lin, JD Deng, BJ Woodford
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory …, 2014
12014
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
H Lin, V Hosu, D Saupe
arXiv preprint arXiv:2001.08113, 2020
2020
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification
H Men, V Hosu, H Lin, A Bruhn, D Saupe
arXiv preprint arXiv:2001.06409, 2020
2020
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