most citedRes3ATN -- Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos

46 citations · 46 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network

Naina Dhingra, George Chogovadze, Andreas Kunz

We present Border-SegGCN, a novel architecture to improve semantic segmentation by refining the border outline using graph convolutional networks (GCN). The semantic segmentation n…

cs.CV2021

BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation

Naina Dhingra, Florian Ritter, Andreas Kunz

Scene graphs are nodes and edges consisting of objects and object-object relationships, respectively. Scene graph generation (SGG) aims to identify the objects and their relationsh…

cs.HC2021

VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction

Khanh-Duy Le, Tanh Quang Tran, Karol Chlasta +3

Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual…

cs.HC2020

Recognition and Localisation of Pointing Gestures using a RGB-D Camera

Naina Dhingra, Eugenio Valli, Andreas Kunz

Non-verbal communication is part of our regular conversation, and multiple gestures are used to exchange information. Among those gestures, pointing is the most important one. If s…

cs.CV202046 cited

Res3ATN -- Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos

Naina Dhingra, Andreas Kunz

Hand gesture recognition is a strenuous task to solve in videos. In this paper, we use a 3D residual attention network which is trained end to end for hand gesture recognition. Bas…