58 citations · 177 across the 8 of their papers we have counts for
9 papers
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
Adel Ahmadyan, Liangkai Zhang, Jianing Wei +2
3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval. We introduce the Objectron dataset to advanc…
Instant 3D Object Tracking with Applications in Augmented Reality
Adel Ahmadyan, Tingbo Hou, Jianing Wei +3
Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space (repr…
Real-time Pupil Tracking from Monocular Video for Digital Puppetry
Artsiom Ablavatski, Andrey Vakunov, Ivan Grishchenko +2
We present a simple, real-time approach for pupil tracking from live video on mobile devices. Our method extends a state-of-the-art face mesh detector with two new components: a ti…
Attention Mesh: High-fidelity Face Mesh Prediction in Real-time
Ivan Grishchenko, Artsiom Ablavatski, Yury Kartynnik +2
We present Attention Mesh, a lightweight architecture for 3D face mesh prediction that uses attention to semantically meaningful regions. Our neural network is designed for real-ti…
The Two-Pass Softmax Algorithm
Marat Dukhan, Artsiom Ablavatski
The softmax (also called softargmax) function is widely used in machine learning models to normalize real-valued scores into a probability distribution. To avoid floating-point ove…
Real-time Hair Segmentation and Recoloring on Mobile GPUs
Andrei Tkachenka, Gregory Karpiak, Andrey Vakunov +4
We present a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application. Our relatively small neur…