Zobrazeno 1 - 10
of 14 921
pro vyhledávání: '"A. Lala"'
In human conversations, short backchannel utterances such as "yeah" and "oh" play a crucial role in facilitating smooth and engaging dialogue. These backchannels signal attentiveness and understanding without interrupting the speaker, making their ac
Externí odkaz:
http://arxiv.org/abs/2410.15929
This study examined users' behavioral differences in a large corpus of Japanese human-robot interactions, comparing interactions between a tele-operated robot and an autonomous dialogue system. We analyzed user spoken behaviors in both attentive list
Externí odkaz:
http://arxiv.org/abs/2410.03147
Autor:
Pawar, T., Hełminiak, K. G., Moharana, A., Pawar, G., Pyatnytskyy, M., Lala, H. N., Konacki, M.
Pulsating stars in eclipsing binaries (EBs) provide an excellent opportunity to obtain precise, model-independent stellar parameters for studying oscillations in detail. One common class of pulsators in these EBs exhibits delta Scuti-type oscillation
Externí odkaz:
http://arxiv.org/abs/2410.00590
Autor:
Bello, Hymalai, Geißler, Daniel, Ray, Lala, Müller-Divéky, Stefan, Müller, Peter, Kittrell, Shannon, Liu, Mengxi, Zhou, Bo, Lukowicz, Paul
Artificial Intelligence (AI) methods are powerful tools for various domains, including critical fields such as avionics, where certification is required to achieve and maintain an acceptable level of safety. General solutions for safety-critical syst
Externí odkaz:
http://arxiv.org/abs/2409.08666
Despite the widespread integration of ambient light sensors (ALS) in smart devices commonly used for screen brightness adaptation, their application in human activity recognition (HAR), primarily through body-worn ALS, is largely unexplored. In this
Externí odkaz:
http://arxiv.org/abs/2408.09527
We present 4DiM, a cascaded diffusion model for 4D novel view synthesis (NVS), conditioned on one or more images of a general scene, and a set of camera poses and timestamps. To overcome challenges due to limited availability of 4D training data, we
Externí odkaz:
http://arxiv.org/abs/2407.07860
Autor:
Lala, Sayeri, Jha, Niraj K.
Clinical randomized controlled trials (RCTs) collect hundreds of measurements spanning various metric types (e.g., laboratory tests, cognitive/motor assessments, etc.) across 100s-1000s of subjects to evaluate the effect of a treatment, but do so at
Externí odkaz:
http://arxiv.org/abs/2406.16351
Autor:
Fritsch, Stefan Gerd, Oguz, Cennet, Rey, Vitor Fortes, Ray, Lala, Kiefer-Emmanouilidis, Maximilian, Lukowicz, Paul
Human Activity Recognition (HAR) is a longstanding problem in AI with applications in a broad range of areas, including healthcare, sports and fitness, security, and more. The performance of HAR in real-world settings is strongly dependent on the typ
Externí odkaz:
http://arxiv.org/abs/2406.03857
Due to the scarcity of labeled sensor data in HAR, prior research has turned to video data to synthesize Inertial Measurement Units (IMU) data, capitalizing on its rich activity annotations. However, generating IMU data from videos presents challenge
Externí odkaz:
http://arxiv.org/abs/2406.01316
Deep neural networks exhibit remarkable performance, yet their black-box nature limits their utility in fields like healthcare where interpretability is crucial. Existing explainability approaches often sacrifice accuracy and lack quantifiable measur
Externí odkaz:
http://arxiv.org/abs/2406.00539