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- research-articleDecember 2024
Challenges in Model Synchronization for Information Preservation Illustrated with the FACE and AADL Standards
ACM SIGAda Ada Letters (SIGADA), Volume 44, Issue 1Pages 63–67https://doi.org/10.1145/3706601.3706611This article explores the challenges in Model Synchronization in Model Driven Engineering, focusing on Information Preservation. It introduces modern architecture description languages such as FACE and AADL and describes the challenges in reliably ...
- research-articleApril 2024
Sensing the Machine: Evaluating Multi-modal Interaction for Intelligent Dynamic Guidance
- Christian Bechinie,
- Setareh Zafari,
- Katja Gallhuber,
- lukas Kroeninger,
- Jaison Puthenkalam,
- Manfred Tscheligi
IUI '24: Proceedings of the 29th International Conference on Intelligent User InterfacesPages 66–73https://doi.org/10.1145/3640543.3645179Recent research has demonstrated the potential for representing intelligent guidance using multi-modal cues, yet few guidelines or processes exist to guide the design of such a system. In this paper, we seek to address this gap by investigating the ...
- research-articleNovember 2023
Voice-Face Homogeneity Tells Deepfake
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 20, Issue 3Article No.: 76, Pages 1–22https://doi.org/10.1145/3625231Detecting forgery videos is highly desirable due to the abuse of deepfake. Existing detection approaches contribute to exploring the specific artifacts in deepfake videos and fit well on certain data. However, the growing technique on these artifacts ...
- research-articleOctober 2023
Rethinking Voice-Face Correlation: A Geometry View
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 2458–2467https://doi.org/10.1145/3581783.3611779Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender, age, and emotion. In this paper, we aim to investigate the capability of ...
- ArticleNovember 2023
Multimodal Emotion Recognition System Through Three Different Channels (MER-3C)
Advanced Concepts for Intelligent Vision SystemsPages 196–208https://doi.org/10.1007/978-3-031-45382-3_17AbstractThe field of machine learning and computer science known as “affective computing” focuses on how to recognize and analyze human emotions. Different modalities can complement or enhance one another. This paper focuses on merging three modalities, ...
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- research-articleApril 2023
Morphing Identity: Exploring Self-Other Identity Continuum through Interpersonal Facial Morphing Experience
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 500, Pages 1–15https://doi.org/10.1145/3544548.3580853We explored continuous changes in self-other identity by designing an interpersonal facial morphing experience where the facial images of two users are blended and then swapped over time. Both users’ facial images are displayed side by side, with each ...
- research-articleNovember 2022
Is Lip Region-of-Interest Sufficient for Lipreading?
ICMI '22: Proceedings of the 2022 International Conference on Multimodal InteractionPages 368–372https://doi.org/10.1145/3536221.3556571Lip region-of-interest (ROI) is conventionally used for visual input in the lipreading task. Few works have adopted the entire face as visual input because lip-excluded parts of the face are usually considered to be redundant and irrelevant to visual ...
- research-articleJune 2022
Unattractive Face Amplifies Late Frontal Slow Wave during Visual Perspective Taking
MMArt-ACM '22: Proceedings of the 2022 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in MultimediaPages 19–21https://doi.org/10.1145/3512730.3533719The ability to imagine what a visual scenery looks like from other viewer's perspective is termed "second order visual perspective taking" and is considered to be linked with such functions as empathy and mentalizing. A few recent studies indicated the ...
- research-articleMarch 2022
Perception of Power and Distance in Human-Human and Human-Robot Role-Based Relations
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot InteractionPages 895–899The use and interpretation of social linguistic strategies such as politeness is influenced by multiple factors, e.g., the speaker-hearer relation. Such relations influence an interlocutor's expectations regarding the interaction and thus also its ...
- research-articleJanuary 2022
Multimodal biometric system using deep learning based on face and finger vein fusion
- Shikhar Tyagi,
- Bhavya Chawla,
- Rupav Jain,
- Smriti Srivastava,
- Hasmat Malik,
- Gopal Chaudhary,
- Smriti Srivastava
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 42, Issue 2Pages 943–955https://doi.org/10.3233/JIFS-189762Single biometric modalities like facial features and vein patterns despite being reliable characteristics show limitations that restrict them from offering high performance and robustness. Multimodal biometric systems have gained interest due to their ...
- research-articleJanuary 2022
Template security scheme for multimodal biometrics using data fusion technique
International Journal of Biometrics (IJOB), Volume 14, Issue 2Pages 166–190https://doi.org/10.1504/ijbm.2022.121801The emerging demand of biometric technology across the globe has given rise to the development of various biometric systems involving multiple traits. The multimodal biometric authentication systems are considered to be more precise and protected as ...
- research-articleOctober 2021
Diffusing the Liveness Cues for Face Anti-spoofing
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 1636–1644https://doi.org/10.1145/3474085.3475305Face anti-spoofing is an important step for secure face recognition. One of the main challenges is how to learn and build a general classifier that is able to resist various presentation attacks. Recently, the patch-based face anti-spoofing schemes are ...
- research-articleOctober 2021
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 1609–1617https://doi.org/10.1145/3474085.3475300Even the most impressive achievement in frontal face synthesis is challenged by large poses and low-quality data given one single side-view face. We propose a synthesizer called SuperFront GAN (SF-GAN) to accept one or more low-resolution (LR) faces at ...
- research-articleSeptember 2021
False Face Must Hide What the False Heart Doth Know:: The Literary Face in the Age of AI
UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable ComputersPages 253–255https://doi.org/10.1145/3460418.3479339This position paper examines a range of technological and algorithmic issues through the lens of literary and cultural theory about the face, in particular the ways in which emotion, expression and gesture are conveyed in literary texts. In doing this, ...
- research-articleJanuary 2021
A novel approach for secured multimodal biometric authentication based on data fusion technique
International Journal of Computational Vision and Robotics (IJCVR), Volume 11, Issue 2Pages 214–243https://doi.org/10.1504/ijcvr.2021.113401The upcoming biometric technology is focusing more on multiple biometric traits to authenticate the user for security, access control and universal identity. This is because utmost considered powerful biometric when used solely, grieves from spoof attacks,...
- research-articleJanuary 2021
Research on facial expression recognition of video stream based on OpenCV
International Journal of Biometrics (IJOB), Volume 13, Issue 1Pages 114–129https://doi.org/10.1504/ijbm.2021.112219In order to overcome the poor performance of expression similarity measurement in traditional video stream facial expression recognition methods, an OpenCV based facial expression recognition method is proposed. In this method, the video stream face ...
- research-articleNovember 2020
Egocentric videoconferencing
- Mohamed Elgharib,
- Mohit Mendiratta,
- Justus Thies,
- Matthias Niessner,
- Hans-Peter Seidel,
- Ayush Tewari,
- Vladislav Golyanik,
- Christian Theobalt
ACM Transactions on Graphics (TOG), Volume 39, Issue 6Article No.: 268, Pages 1–16https://doi.org/10.1145/3414685.3417808We introduce a method for egocentric videoconferencing that enables hands-free video calls, for instance by people wearing smart glasses or other mixed-reality devices. Videoconferencing portrays valuable non-verbal communication and face expression ...
- research-articleOctober 2020
Neutral Face Game Character Auto-Creation via PokerFace-GAN
MM '20: Proceedings of the 28th ACM International Conference on MultimediaPages 3201–3209https://doi.org/10.1145/3394171.3413806Game character customization is one of the core features of many recent Role-Playing Games (RPGs), where players can edit the appearance of their in-game characters with their preferences. This paper studies the problem of automatically creating in-game ...
- research-articleMay 2020
Human Perception of Social Robot’s Emotional States via Facial and Thermal Expressions
ACM Transactions on Human-Robot Interaction (THRI), Volume 9, Issue 4Article No.: 26, Pages 1–19https://doi.org/10.1145/3388469Facial and thermal expressions can be used by humans to interpret emotions. While facial expressions can be a voluntary reaction, the change of temperature in the body is often not. Thus, a facial expression may not always be consistent with the ...
- research-articleJanuary 2020
Eigen-based binary feature amalgamation in multimodal biometrics
International Journal of Biometrics (IJOB), Volume 12, Issue 3Pages 269–282https://doi.org/10.1504/ijbm.2020.108479In this paper, a quantised eigen analysis (QEA) for the extracted features is proposed and an associated eigen-based binary feature amalgamation (EBFA) based on QEA is developed for feature fusion in multimodal biometrics. As opposed to feature ...