Maxim Maximov

According to our database, Maxim Maximov authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The NeRFect Match: Exploring NeRF Features for Visual Localization.

Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé

CoRR, 2024

2023

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.

Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé

CoRR, 2023

2022

Decoupling Identity and Visual Quality for Image and Video Anonymization.

Maxim Maximov, Ismail Elezi, Laura Leal-Taixé

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

The 2021 Image Similarity Dataset and Challenge.

Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomás Jenícek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondrej Chum, Cristian Canton-Ferrer

CoRR, 2021

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization.

Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

4D Panoptic LiDAR Segmentation.

Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation.

Maxim Maximov, Kevin Galim, Laura Leal-Taixé

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks.

Maxim Maximov, Ismail Elezi, Laura Leal-Taixé

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Appearance Maps.

Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Appearance Maps.

Maxim Maximov, Tobias Ritschel, Mario Fritz

CoRR, 2018

Live Intrinsic Material Estimation.

Abhimitra Meka, Maxim Maximov, Michael Zollhöfer, Avishek Chatterjee, Christian Richardt, Christian Theobalt

CoRR, 2018

LIME: Live Intrinsic Material Estimation.

Abhimitra Meka, Maxim Maximov, Michael Zollhöfer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, Christian Theobalt

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018