Search Results for author: Tejo Chalasani

Found 5 papers, 1 papers with code

CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition

1 code implementation20 Apr 2020 Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic

Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses.

Gesture Recognition Video Recognition

STaDA: Style Transfer as Data Augmentation

no code implementations3 Sep 2019 Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic

The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data.

Classification Data Augmentation +3

Egocentric Gesture Recognition for Head-Mounted AR devices

no code implementations16 Aug 2018 Tejo Chalasani, Jan Ondrej, Aljosa Smolic

Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience.

Data Augmentation Gesture Recognition

SalNet360: Saliency Maps for omni-directional images with CNN

no code implementations19 Sep 2017 Rafael Monroy, Sebastian Lutz, Tejo Chalasani, Aljosa Smolic

The prediction of Visual Attention data from any kind of media is of valuable use to content creators and used to efficiently drive encoding algorithms.

Saliency Prediction

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