Dr.-Ing. Susana Castillo
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The research work of Susana Castillo to date has focused on working toward a tighter integration of psychology in general into computer science.
In 2009, she started working under the supervision of Prof. Dr. Diego Gutierrez as a Junior Researcher with the Graphics and Imaging Lab at the University of Zaragoza (Spain). In 2011, she received her Computer Engineering degree and continued performing research on perceptually as well as automatically assessing the quality of different image and video manipulation techniques. In 2013, she began working with the Department for Graphical Systems at the
Brandenburg University of Technology Cottbus-Senftenberg (Germany), where she got her PhD in Computer Science. Her thesis focused on mathematically specifying the spatio-temporal information present in real, dynamic facial expressions and then empirically determining the semantic meaning and perceptual importance of that information. The result is a detailed model of the human perception of facial expressions as well as more efficient and more effective facial animations. In 2019, she joined our lab as a post-doc where she is currently working as Akademische Rätin. On July 2020, she became an elected member of the Junge Braunschweigische Wissenschaftliche Gesellschaft.
Personality Analysis of Face Swaps: Can They be Used as Avatars?
in ACM Proceedings of the International Conference on Intelligent Virtual Agents, ACM, to appear.
Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms
in Digital Holography and Three-Dimensional Imaging, Optica Publishing Group, pp. DW3A.4 ff., to appear.
Automatic Generation of Customized AOIs and Evaluation of Observers' Gaze in Portrait Videos
in Proceedings of the ACM on Human-Computer Interaction , vol. 6, no. ETRA, ACM, pp. 144:1-144:14, May 2022.
Omnidirectional Galvanic Vestibular Stimulation in Virtual Reality
in IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 28, no. 5, pp. 2234-2244, March 2022.
Won "Honorable Mention for Best Journal Track Paper"
EEG-based Analysis of the Impact of Familiarity in the Perception of Deepfake Videos
in Proc. IEEE International Conference on Image Processing (ICIP), IEEE, pp. 160-164, September 2021.
Real VR - special issue of IEEE Computer Graphics and Applications
in IEEE Computer Graphics and Applications, vol. 41, no. 4, IEEE, August 2021.
High-Fidelity Neural Human Motion Transfer from Monocular Video
in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1541-1550, June 2021.
Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos
in Proc. ACM Human Factors in Computing Systems (CHI), no. 240, Association for Computing Machinery, pp. 1-13, May 2021.
Möglichkeiten und Grenzen von Big Data in der Forschung - Aktuelle Perspektiven
Cuvillier, ISBN 978-3-7369-7423-4, pp. 127-131, January 2021.
Altering the Conveyed Facial Emotion Through Automatic Reenactment of Video Portraits
in Proc. International Conference on Computer Animation and Social Agents (CASA), vol. 1300, Springer, Cham, pp. 128-135, November 2020.
PEFS: A Validated Dataset for Perceptual Experiments on Face Swap Portrait Videos
in Proc. International Conference on Computer Animation and Social Agents (CASA), vol. 1300, Springer, Cham, pp. 120-127, November 2020.
Temporal Consistent Motion Parallax for Omnidirectional Stereo Panorama Video
in ACM Symposium on Virtual Reality Software and Technology (VRST), no. 21, Association for Computing Machinery, pp. 1-9, November 2020.
Exploring Neural and Peripheral Physiological Correlates of Simulator Sickness
in Computer Animation and Virtual Worlds, vol. 31, no. 4-5, John Wiley & Sons, Inc., pp. e1953 ff., August 2020.
electronic ISSN: 1546-427X
Reconstructing 3D Human Avatars from Monocular Images
in Magnor M., Sorkine-Hornung A. (Eds.): Real VR – Immersive Digital Reality: How to Import the Real World into Head-Mounted Immersive Displays, Springer International Publishing, Cham, ISBN 978-3-030-41816-8, pp. 188-218, March 2020.