no code implementations • 12 Jun 2017 • Artsiom Ablavatski, Shijian Lu, Jianfei Cai
We design an Enriched Deep Recurrent Visual Attention Model (EDRAM) - an improved attention-based architecture for multiple object recognition.
no code implementations • 15 May 2017 • Andrei Polzounov, Artsiom Ablavatski, Sergio Escalera, Shijian Lu, Jianfei Cai
In recent years, text recognition has achieved remarkable success in recognizing scanned document text.
no code implementations • 15 Jul 2019 • Andrei Tkachenka, Gregory Karpiak, Andrey Vakunov, Yury Kartynnik, Artsiom Ablavatski, Valentin Bazarevsky, Siargey Pisarchyk
We present a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application.
no code implementations • 23 Jun 2020 • Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, Matthias Grundmann
Our tracker is capable of performing relative-scale 9-DoF tracking in real-time on mobile devices.
1 code implementation • 19 Jun 2020 • Artsiom Ablavatski, Andrey Vakunov, Ivan Grishchenko, Karthik Raveendran, Matsvei Zhdanovich
We present a simple, real-time approach for pupil tracking from live video on mobile devices.
3 code implementations • 15 Jul 2019 • Yury Kartynnik, Artsiom Ablavatski, Ivan Grishchenko, Matthias Grundmann
The relatively dense mesh model of 468 vertices is well-suited for face-based AR effects.
3 code implementations • 13 Jan 2020 • Marat Dukhan, Artsiom Ablavatski
Performance evaluation demonstrates that on out-of-cache inputs on an Intel Skylake-X processor the new Two-Pass algorithm outperforms the traditional Three-Pass algorithm by up to 28% in AVX512 implementation, and by up to 18% in AVX2 implementation.
1 code implementation • CVPR 2021 • Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Artsiom Ablavatski, Matthias Grundmann
3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval.
Ranked #2 on Monocular 3D Object Detection on Google Objectron
1 code implementation • 19 Jun 2020 • Ivan Grishchenko, Artsiom Ablavatski, Yury Kartynnik, Karthik Raveendran, Matthias Grundmann
We present Attention Mesh, a lightweight architecture for 3D face mesh prediction that uses attention to semantically meaningful regions.