26 citations · 28 across the 3 of their papers we have counts for
5 papers
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Zhengwei Wang, Qi She, Tejo Chalasani +1
Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses. A major issue in such scenarios for r…
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Tejo Chalasani, Aljosa Smolic
Ego hand gestures can be used as an interface in AR and VR environments. While the context of an image is important for tasks like scene understanding, object recognition, image ca…
STaDA: Style Transfer as Data Augmentation
Xu Zheng, Tejo Chalasani, Koustav Ghosal +2
The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent research has found that neural style transfer alg…
Egocentric Gesture Recognition for Head-Mounted AR devices
Tejo Chalasani, Jan Ondrej, Aljosa Smolic
Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience. Gestures are a natural extension from real world to augmented space to achieve th…
SalNet360: Saliency Maps for omni-directional images with CNN
Rafael Monroy, Sebastian Lutz, Tejo Chalasani +1
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. With the current trend in t…