Dr.-Ing. Chengchao Qu

Lebenslauf

Dipl.-Inform. Chengchao Qu studierte von 2005 bis 2012 Informatik am Karlsruher Institut für Technologie (KIT). Seine Diplomarbeit zum Thema "Non-Rigid Structure from Motion for Building 3D Face Model" fertigte er an der "Facial Image Processing and Analysis Group" des "Computer Vision for Human-Computer Interaction Lab" am Institut für Anthropomatik an. Derzeit beschäftigt sich Herr Qu mit Methoden zur Registrierung, 3D-Rekonstruktion und Super-Resolution, insbesondere von Gesichtern in Videodaten. Er arbeitet dabei in enger Kooperation mit der Abteilung Videoauswertesysteme (VID)  (VID) des Fraunhofer IOSB .

Veröffentlichungen


2020
Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction.
Kraus, M.; Pollok, T.; Miller, M.; Kilian, T.; Moritz, T.; Schweitzer, D.; Beyerer, J.; Keim, D.; Qu, C.; Jentner, W.
2020. Sensors, 20 (18), Art. Nr.: 5426. doi:10.3390/s20185426
2019
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks.
Golda, T.; Murzyn, N.; Qu, C.; Kroschel, K.
2019. 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS.2019.8909853
CNN-based Image Denoising for Outdoor Active Stereo.
Qu, C.; Moiseikin, M.; Voth, S.; Beyerer, J.
2019. Proceedings of the 16th International Conference on Machine Vision Applications : May 27-31, 2019, National Olympics Memorial Youth Center, Tokyo, Japan, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/MVA.2019.8757894
Patch-based facial texture super-resolution by fitting 3D face models.
Qu, C.; Monari, E.; Schuchert, T.; Beyerer, J.
2019. Machine vision and applications, 30 (4), 557–586
2018
Facial Texture Super-Resolution by Fitting 3D Face Models. Dissertation.
Qu, C.
2018. KIT Scientific Publishing. doi:10.5445/KSP/1000085134
Self-describing connected components for live information access within production systems.
Barton, D.; Gönnheimer, P.; Qu, C.; Fleischer, J.
2018. Procedia manufacturing, 24, 250–257. doi:10.1016/j.promfg.2018.06.031
2017
Robust 3D Patch-Based Face Hallucination.
Qu, C.; Herrmann, C.; Monari, E.; Schuchert, T.; Beyerer, J.
2017. WACV : Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, USA, 24-31 March 2017, 1105–1114, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACV.2017.128
2016
Low-resolution video face recognition with face normalization and feature adaptation.
Herrmann, C.; Qu, C.; Beyerer, J.
2016. 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015; Pullman BangsarKuala Lumpur; Malaysia; 19 October 2015 through 21 October 2015, 89–94, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSIPA.2015.7412169
Capturing ground truth super-resolution data.
Qu, C.; Luo, D.; Monari, E.; Schuchert, T.; Beyerer, J.
2016. IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 25–28 September 2016, 2812–2816, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICIP.2016.7532872
A Prototype System for Capturing Ground Truth Super-Resolution Data : Technical Report IES-2015-07.
Qu, C.
2016. Proceedings of the 2015 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 91–102, KIT Scientific Publishing
2015
Rotation update on manifold in probabilistic NRSFM for robust 3D face modeling.
Qu, C.; Gao, H.; Ekenel, H. K.
2015. EURASIP journal on image and video processing, 2015 (1), 1–12. doi:10.1186/s13640-015-0101-6
Realistic Texture Extraction for 3D Face Models Robust to Self-Occlusion. Technical Report IES-2014-08.
Qu, C.
2015. Proceedings of the 2014 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 89–101, KIT Scientific Publishing
2014
Face Alignment and Multi-Frame Super-Resolution. Technical Report IES-2013-07.
Qu, C.
2014. Proceedings of the 2013 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 75–88, KIT Scientific Publishing