@misc{CastilloWallravenCunningham, author = {Castillo, Susana and Wallraven, Christian and Cunningham, Douglas William}, title = {The Semantic space for facial communication}, series = {Computer Animation and Virtual Worlds}, volume = {25}, journal = {Computer Animation and Virtual Worlds}, number = {3-4}, issn = {1546-427X}, doi = {10.1002/cav.1593}, pages = {223 -- 231}, language = {en} } @misc{FotsingCunningham, author = {Fotsing, Cedrique and Cunningham, Douglas William}, title = {Context Aware Exemplar-based Image Inpainting using Irregular Patches}, series = {Vision, Modeling, and Visualization}, journal = {Vision, Modeling, and Visualization}, editor = {Andres, Bjoern and Campen, Marcel and Sedlmair, Michael}, edition = {1. Auflage}, publisher = {The Eurographics Association}, isbn = {978-3-03868-161-8}, doi = {10.2312/vmv.20211373}, pages = {71 -- 81}, abstract = {We propose a new exemplar-based image inpainting method in this paper. Our method is based on the Criminisi pipeline. We focused on three main stages of the pipeline; calculation of priorities, construction of patches, and the search for the best match. To assign a high priority to patches constructed from the edge pixels, we use the ability of segmentation algorithms to divide an image into different texture blocks. The patches built from pixels located at the border between several texture blocks receive a high priority. Unlike most patch-based image inpainting methods which use regular patches (rectangle, square), the shape and size of our patches depend on the textural composition around the original pixel. The patches are built using a region growing principle in the different texture blocs around the original pixel. The search for the best match is done contextually. We search for the best match of the patch with the highest priority in a similar environment to its neighborhood around the target zone. The method is simple and easy to implement. The experiments show that our method obtains more plausible results than the basic method of Criminisi and its improved version Amoeba in most cases.}, language = {en} } @misc{SchorradtCastilloCunningham, author = {Schorradt, Martin T. and Castillo, Susana and Cunningham, Douglas William}, title = {The Semantic Space for Emotional Speech and the Influence of Different Methods for Prosody Isolation on Its Perception}, series = {SAP '18: Proceedings of the 15th ACM Symposium on Applied Perception}, journal = {SAP '18: Proceedings of the 15th ACM Symposium on Applied Perception}, publisher = {Association for Computing Machinery}, address = {New York, NY, United States}, isbn = {978-1-4503-5894-1}, doi = {10.1145/3225153.3225156}, pages = {1 -- 8}, language = {en} } @misc{HahnCastilloCunningham, author = {Hahn, Philipp and Castillo, Susana and Cunningham, Douglas William}, title = {Fitting the Style: The Semantic Space for Emotions on Stylized Faces}, series = {CASA '19: Proceedings of the 32nd International Conference on Computer Animation and Social Agents}, journal = {CASA '19: Proceedings of the 32nd International Conference on Computer Animation and Social Agents}, publisher = {Association for Computing Machinery}, address = {New York, NY, United States}, isbn = {978-1-4503-7159-9}, doi = {10.1145/3328756.3328770}, pages = {21 -- 24}, language = {en} } @misc{LegdeCunningham, author = {Legde, Katharina and Cunningham, Douglas William}, title = {Evaluating the Effect of Clothing and Environment on the Perceived Personality of Virtual Avatars}, series = {IVA '19: ACM International Conference on Intelligent Virtual Agents}, journal = {IVA '19: ACM International Conference on Intelligent Virtual Agents}, publisher = {Association for Computing Machinery}, address = {New York, USA}, isbn = {978-1-4503-6672-4}, doi = {10.1145/3308532.3329425}, pages = {206 -- 208}, language = {en} } @misc{KoulierisDrettakisCunninghametal., author = {Koulieris, George Alex and Drettakis, George and Cunningham, Douglas William and Sidorakis, Nikolaos and Mania, Katerina}, title = {Context-awarematerial selective rendering for mobile graphics}, publisher = {ACM}, address = {New York, NY}, isbn = {978-1-4503-2958-3}, doi = {10.1145/2614217.2614246}, pages = {1}, language = {en} } @misc{KoulierisDrettakisCunninghametal., author = {Koulieris, George Alex and Drettakis, George and Cunningham, Douglas William and Mania, Katerina}, title = {C-lod: Context-aware material level-of-detail applied to mobile graphics}, series = {Computer Graphics Forum}, volume = {33}, journal = {Computer Graphics Forum}, number = {4}, issn = {1467-8659}, doi = {10.1111/cgf.12411}, pages = {41 -- 49}, language = {en} } @misc{KoulierisDrettakisCunningham, author = {Koulieris, George Alex and Drettakis, George and Cunningham, Douglas William}, title = {An automated high level saliency predictor for smart gane balancing}, series = {ACM Transactions on Applied Perception : (TAP)}, volume = {11}, journal = {ACM Transactions on Applied Perception : (TAP)}, number = {4}, issn = {1544-3965}, pages = {17-1 -- 17-21}, language = {en} } @misc{CastilloWallravenCunningham, author = {Castillo, Susana and Wallraven, Christian and Cunningham, Douglas William}, title = {The semantic space for facial communication}, series = {Computer Animation and Virtual Worlds}, volume = {25}, journal = {Computer Animation and Virtual Worlds}, number = {3-4}, issn = {1546-427X}, pages = {223 -- 231}, language = {en} } @misc{SchorradtCunningham, author = {Schorradt, Martin T. and Cunningham, Douglas William}, title = {Age Regression for Human Voices}, series = {ICMI '22: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION Bengaluru India November 7 - 11, 2022}, journal = {ICMI '22: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION Bengaluru India November 7 - 11, 2022}, editor = {Tumuluri, Raj and Sebe, Nicu and Pingali, Gopal and Jayagopi, Dinesh Babu and Dhall, Abhinav and Singh, Richa and Anthony, Lisa and Salah, Albert Ali}, publisher = {Association for Computing Machinery New York NY United States}, isbn = {978-1-4503-9390-4}, doi = {10.1145/3536221.3556599}, pages = {570 -- 578}, abstract = {The human voice is one of our most important tools for communicating with other people. Besides pure semantic meaning it also conveys syntactical information such as emphasis as well as personal information such as emotional state, gender, and age. While the physical changes that occur to a person's voice are well studied, there is surprisingly little work on the perception of those changes. To hold the range of subtleties present in a given utterance constant and thus focus on the changes caused by age, this paper takes adult recordings (three males, and three females) and artificially resynthesizes them (using values from measurements of real children's voices) to create a childlike versions of the utterance at different target ages. In particular, we focus on a systematic, factorial combination pitch shifting and formant shifting. To get an insight about the influence of these factors on the estimated age, we performed a perceptual experiment. Since the resynthesis method we used can produce a wide range of voices, not all of which are physically consistent, we also asked the participants to rate how natural the voices sounded. Furthermore, since former studies suggest that people are not able to distinguish between males and females of young ages, participants were also asked to rate how male or female the voices sounded. Overall, we found that although the synthesis method produced physically plausible signals (compared average values for real children), the degree of signal manipulation was correlated with perceived unnaturalness. We also found that pitch shift had only a small affect on perceived age, that formant shift had a strong affect on perceived age, and that these effects depended on the original gender of the recording. As expected, people had difficulty guessing the gender of younger sounding voices.}, language = {en} } @misc{SterzikLichtenbergKroneetal., author = {Sterzik, Anna and Lichtenberg, Nils and Krone, Michael and Cunningham, Douglas William and Lawonn, Kai}, title = {Perceptual Evaluation of Common Line Variables for Displaying Uncertainty on Molecular Surfaces}, series = {Eurographics Workshop on Visual Computing for Biology and Medicine}, journal = {Eurographics Workshop on Visual Computing for Biology and Medicine}, editor = {Raidou, Renata G. and Sommer, Bj{\"o}rn and Kuhlen, Torsten W. and Krone, Michael and Schultz, Thomas and Wu, Hsiang-Yun}, publisher = {The Eurographics Association}, isbn = {978-3-03868-177-9}, issn = {2070-5786}, doi = {10.2312/vcbm.20221186}, pages = {41 -- 51}, abstract = {Data are often subject to some degree of uncertainty, whether aleatory or epistemic. This applies both to experimental data acquired with sensors as well as to simulation data. Displaying these data and their uncertainty faithfully is crucial for gaining knowledge. Specifically, the effective communication of the uncertainty can influence the interpretation of the data and the users' trust in the visualization. However, uncertainty-aware visualization has gotten little attention in molecular visualization. When using the established molecular representations, the physicochemical attributes of the molecular data usually already occupy the common visual channels like shape, size, and color. Consequently, to encode uncertainty information, we need to open up another channel by using feature lines. Even though various line variables have been proposed for uncertainty visualizations, they have so far been primarily used for two-dimensional data and there has been little perceptual evaluation. Therefore, we conducted a perceptual study to determine the suitability of the line variables sketchiness, dashing, grayscale, and width for distinguishing several uncertainty values on molecular surfaces.}, language = {en} } @misc{SchorradtCunningham, author = {Schorradt, Martin T. and Cunningham, Douglas William}, title = {Erosion as a novel Approach for removing Semantics and Comparison of different State-of-Art-Methods}, series = {SAP '22: ACM Symposium on Applied Perception 2022}, journal = {SAP '22: ACM Symposium on Applied Perception 2022}, editor = {Lau, Manfred and Robb, Andrew and Barnett-Cowan, Michael and Serrano, Ana and Malpica, Sandra}, publisher = {Association for Computing Machinery New York NY United States}, isbn = {978-1-4503-9455-0}, doi = {10.1145/3548814.3551458}, pages = {1 -- 6}, abstract = {Through language, people convey not only pure semantics, but also information about themselves, such as age, gender, state of mind or health. The supralingual features that carry this information have been a subject of research for a long time. Various procedures have been proposed to remove unneeded semantics from speech recordings, in order to study supralingual information in natural speech. In this paper, we propose a new method for removing sematics, based on erosion, a morphological operator. We compare its effectiveness to different state-of-the-art methods. As established methods we consider two low pass filters with cut off frequencies of 450Hz and 1150Hz and Brownian noise. As a newer method we investigate a filter for spectro-temporal frequencies. To evaluate each method, appropriately processed recordings were presented to a group of participants in a perceptual experiment. The intelligibility was measured by means of the Levenshtein distance. Our results show that erosion itself performs similarly to the established methods, while a combination of erosion and low-pass filter outperforms all other methods.}, language = {en} } @inproceedings{WallravenCunninghamFleming, author = {Wallraven, Christian and Cunningham, Douglas William and Fleming, R. W.}, title = {Perceptual and computational categories in art}, series = {Computational aesthetics 2008, Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, Lisbon, Portugal, 18-20 June, 2008}, booktitle = {Computational aesthetics 2008, Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, Lisbon, Portugal, 18-20 June, 2008}, publisher = {Eurographics Assoc.}, address = {Aire-la-Ville}, isbn = {978-3-905674-08-8}, pages = {131 -- 138}, language = {en} }