Alina Kuznetsova

generated on Jan 2, 2024

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

2024 Jan.

Check out our new paper on scalable generic object tracking Beyond SOT: Tracking Multiple Generic Objects at Once! The work will be presented on WACV'24 Our new benchmark LaGOT is available at github while the code is released in PyTracking repo.

2021 Nov.

Transfer learning in action: check out our new paper “Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types” - now published at TPAMI 2021!

2021 Jan.

I serve as an area chair for WACV'21.

2020 Aug.

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 Feb.

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 Nov.

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

Publications

Beyond SOT: Tracking Multiple Generic Objects at Once
C. Mayer,M. Danelljan, M.-H. Yang, V. Ferrari, L. van Gool, A. Kuznetsova
IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
[PDF] [Supp] [Code] [Data]
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
T. Mensink, J. Uijlings, A. Kuznetsova, M. Gygli, V. Ferrari
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[ArXiV]
Efficient video annotation with visual interpolation and frame selection guidance
A. Kuznetsova, A. Talati, Y. Luo, K. Simmons, V. Ferrari
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
[ArXiV]
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]