Bio

I am currently at Google AI in Zurich, Switzerland.

I received PhD degree (German: Dr.-Ing.) from Leibniz University of Hannover from Institute for Information Processing in 2016. During my PhD studies, I interned at Disney Research, working with Dr. Sung Ju Hwang and Dr. Leonid Sigal. I also interned at Microsoft Research, Cambridge during my final year. Before that, I obtained Master degree (“Специалист”) from Faculty of Applied Mathematics and Cybernetics of Lomonosov Moscow State University, Russia.

News

2020-08-04

Robust Vision Challenge deadline is extended to the 14th of August! Robust vision challenge still has zero entries on Object Detection and Instance Segmentation leaderboards - great opportunity to win first or second place monetary prizes and visibility computer vision community.

2020-02-26

Open Images V6 is released! It comes with more image-level labels, visual relationship annotations, and finally, a new type of annotations: localized narratives!

2019-11-21

Open Images Challenge 2019 is over! Check out the results on Open Images Challenge website.

Publications

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, A. Kolesnikov, T. Duerig, V. Ferrari
IJCV, 2020
[Web] [ArXiV]
Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari
IEEE International Conference on Computer Vision Workshops, 2019
[PDF] [ArXiV]
Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach
A. Kuznetsova, S. J. Hwang, B. Rosenhahn, L. Sigal
Conference on Artificial Intelligence (AAAI), 2017
[PDF]
Hand pose recognition using a consumer depth camera
A. Kuznetsova
PhD Thesis, 2016
[Link] [Web]
Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach
A. Kuznetsova, S. J. Hwang, B. Rosenhahn, L. Sigal
IEEE International Conference on Computer Vision Workshops (ICCVW), 1st Workshop on Object Understanding for Interaction, 2015
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos
A. Kuznetsova, S. J. Hwang, B. Rosenhahn, L. Sigal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
[PDF]
On calibration of a low-cost time-of-flight camera
A. Kuznetsova, B. Rosenhahn
Computer Vision - ECCV 2014 Workshops, 2014
[PDF] [Code]
Learning an image-based motion context for multiple people tracking
L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn, S. Savarese
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2014
[PDF]
Implementing Second-Order Decision Analysis: Concepts, Algorithms, and Tool
A. Larsson, A. Kuznetsova, O. Caster, L. Ekenberg
Advances in Decision Sciences, 2014
[Link]
Real-time sign language recognition using a consumer depth camera
A Kuznetsova, L Leal-Taixé, B Rosenhahn
International Symposium on Visual Computing, 2013
[PDF] [Web]
Hand pose estimation from a single rgb-d image
A. Kuznetsova, B. Rosenhahn
International Symposium on Visual Computing, 2013
[PDF]
PCA-enhanced stochastic optimization methods
A Kuznetsova, G Pons-Moll, B Rosenhahn
German Association for Pattern Recognition, 2012
[PDF]