1 code implementation • 17 Jun 2021 • Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomas Jenicek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondřej Chum, Cristian Canton Ferrer
This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021).
Ranked #1 on
Image Similarity Detection
on DISC21 dev
1 code implementation • CVPR 2021 • Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
The goal of cross-view image based geo-localization is to determine the location of a given street view image by matching it against a collection of geo-tagged satellite images.
1 code implementation • CVPR 2021 • Mehmet Aygün, Aljoša Ošep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
In this paper, we propose 4D panoptic LiDAR segmentation to assign a semantic class and a temporally-consistent instance ID to a sequence of 3D points.
1 code implementation • CVPR 2020 • Maxim Maximov, Kevin Galim, Laura Leal-Taixé
We are able to train our model completely on synthetic data and directly apply it to a wide range of real-world images.
Ranked #1 on
Depth Estimation
on NYU-Depth V2
(RMSE metric)
1 code implementation • CVPR 2020 • Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
In many real-world scenarios like people tracking or action recognition, it is important to be able to process the data while taking careful consideration in protecting people's identity.
no code implementations • ICCV 2019 • Maxim Maximov, Laura Leal-Taixé, Mario Fritz, Tobias Ritschel
Second, we demonstrate how another network can be used to map from an image or video frames to a DAM network to reproduce this appearance, without using a lengthy optimization such as stochastic gradient descent (learning-to-learn).
no code implementations • CVPR 2018 • Abhimitra Meka, Maxim Maximov, Michael Zollhoefer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, Christian Theobalt
We present the first end to end approach for real time material estimation for general object shapes with uniform material that only requires a single color image as input.