Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Joshi, Ajjen"'
Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve driver safety. In order to detect driver distraction, an ADAS must be a
Externí odkaz:
http://arxiv.org/abs/2012.02906
Driving in a state of drowsiness is a major cause of road accidents, resulting in tremendous damage to life and property. Developing robust, automatic, real-time systems that can infer drowsiness states of drivers has the potential of making life-sav
Externí odkaz:
http://arxiv.org/abs/2010.11162
Autor:
Banerjee, Sandipan, Joshi, Ajjen, Mahajan, Prashant, Bhattacharya, Sneha, Kyal, Survi, Mishra, Taniya
Building facial analysis systems that generalize to extreme variations in lighting and facial expressions is a challenging problem that can potentially be alleviated using natural-looking synthetic data. Towards that, we propose LEGAN, a novel synthe
Externí odkaz:
http://arxiv.org/abs/2010.01464
Autor:
Ruiz, Nataniel, Yu, Hao, Allessio, Danielle A., Jalal, Mona, Joshi, Ajjen, Murray, Thomas, Magee, John J., Whitehill, Jacob R., Ablavsky, Vitaly, Arroyo, Ivon, Woolf, Beverly P., Sclaroff, Stan, Betke, Margrit
In this work, we propose a video-based transfer learning approach for predicting problem outcomes of students working with an intelligent tutoring system (ITS). By analyzing a student's face and gestures, our method predicts the outcome of a student
Externí odkaz:
http://arxiv.org/abs/2002.05242
Autor:
Joshi, Ajjen Das
The video-based computational analyses of human face and gesture signals encompass a myriad of challenging research problems involving computer vision, machine learning and human computer interaction. In this thesis, we focus on the following challen
Externí odkaz:
https://hdl.handle.net/2144/34774
Autor:
Joshi, Ajjen Das
This thesis investigates a gesture segmentation and recognition scheme that employs a random forest classification model. A complete gesture recognition system should localize and classify each gesture from a given gesture vocabulary, within a contin
Externí odkaz:
https://hdl.handle.net/2144/15405
Publikováno v:
In Image and Vision Computing February 2017 58:86-95
Akademický článek
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Publikováno v:
ACM International Conference Proceeding Series; 6/26/2018, p98-101, 4p
Publikováno v:
ACM International Conference Proceeding Series; 6/29/2016, p1-4, 4p