HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior

1 code implementation • 1 Apr 2024 • David Svitov, Pietro Morerio, Lourdes Agapito, Alessio Del Bue

We demonstrate the effectiveness of our approach on two open datasets: SnapshotPeople and X-Humans.

MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video

no code implementations • 17 Mar 2023 • Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky

We present a system to create Mobile Realistic Fullbody (MoRF) avatars.

DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars

1 code implementation • ICCV 2023 • David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky

We present DINAR, an approach for creating realistic rigged fullbody avatars from single RGB images.

AmphibianDetector: adaptive computation for moving objects detection

1 code implementation • 15 Nov 2020 • David Svitov, Sergey Alyamkin

In this paper, we propose an approach to object detection which makes it possible to reduce the number of false-positive detections by processing only moving objects and reduce the required processing power for algorithm inference.

Object object-detection +1

MarginDistillation: distillation for margin-based softmax

1 code implementation • 5 Mar 2020 • David Svitov, Sergey Alyamkin

The usage of convolutional neural networks (CNNs) in conjunction with a margin-based softmax approach demonstrates a state-of-the-art performance for the face recognition problem.

Face Identification Face Recognition

Low-Power Computer Vision: Status, Challenges, Opportunities

no code implementations • 15 Apr 2019 • Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots).

2018 Low-Power Image Recognition Challenge

no code implementations • 3 Oct 2018 • Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing. ieee. org/lpirc) is an annual competition started in 2015.