Konrad Schindler

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ETH Zurich

Full professor in the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich, Professor at ETH Zurich, Professor of Photogrammetry and Remote Sensing at ETH Zurich, Junior Professor for Image Understanding at TU Darmstadt, Germany from 2009-2010, postdoc at the Computer Vision Lab, Department of Information Technology and Electrical Engineering, ETH Zurich 2007-2009, postdoc at Digital Perception Lab, Monash University, Melbourne, Australia 2004-2006, Research Assistant at the Institute for Computer Graphics and Vision, TU Graz, Austria 2001-2003, Photogrammetry Engineer at ARGE Digitalplan ZT GmbH, Graz, Austria 1999-2001

Featured Co-authors

Luc Van Gool
227 publications
Daniel Cremers
110 publications
Ian Reid
108 publications
Marc Pollefeys
72 publications
Vladlen Koltun
68 publications
Martin Jaggi
62 publications
Michael J. Black
46 publications
Dengxin Dai
44 publications
Stefan Roth
44 publications
Laura Leal-Taixé
40 publications
Thomas Hofmann
39 publications

PREDATOR: Registration of 3D Point Clouds with Low Overlap

We introduce PREDATOR, a model for pairwise point-cloud registration wit...
11/25/2020 ∙ by Shengyu Huang, et al. ∙ 0 ∙ share

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Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning

Continuous observation of climate indicators, such as trends in lake fre...
10/27/2020 ∙ by Manu Tom, et al. ∙ 7 ∙ share

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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking

Standardized benchmarks have been crucial in pushing the performance of ...
10/15/2020 ∙ by Patrick Dendorfer, et al. ∙ 4 ∙ share

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Deep Active Learning in Remote Sensing for data efficient Change Detection

We investigate active learning in the context of deep neural network mod...
08/25/2020 ∙ by Vít Růžička, et al. ∙ 9 ∙ share

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KAPLAN: A 3D Point Descriptor for Shape Completion

We present a novel 3D shape completion method that operates directly on ...
07/31/2020 ∙ by Audrey Richard, et al. ∙ 2 ∙ share

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From two rolling shutters to one global shutter

Most consumer cameras are equipped with electronic rolling shutter, lead...
06/02/2020 ∙ by Cenek Albl, et al. ∙ 0 ∙ share

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Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images

Modern high-resolution satellite sensors collect optical imagery with gr...
05/10/2020 ∙ by Mathias Rothermel, et al. ∙ 32 ∙ share

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Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

The internal geometry of most modern consumer cameras is not adequately ...
04/29/2020 ∙ by Zuzana Kukelova, et al. ∙ 0 ∙ share

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Privileged Pooling: Supervised attention-based pooling for compensating dataset bias

In this paper we propose a novel supervised image classification method ...
03/20/2020 ∙ by Andres C Rodriguez, et al. ∙ 7 ∙ share

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MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...
03/19/2020 ∙ by Patrick Dendorfer, et al. ∙ 17 ∙ share

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Reconstruction of 3D flight trajectories from ad-hoc camera networks

We present a method to reconstruct the 3D trajectory of an airborne robo...
03/10/2020 ∙ by Jingtong Li, et al. ∙ 0 ∙ share

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Indoor Scene Recognition in 3D

Recognising in what type of environment one is located is an important p...
02/28/2020 ∙ by Shengyu Huang, et al. ∙ 0 ∙ share

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Lake Ice Monitoring with Webcams and Crowd-Sourced Images

Lake ice is a strong climate indicator and has been recognised as part o...
02/18/2020 ∙ by Rajanie Prabha, et al. ∙ 3 ∙ share

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Lake Ice Detection from Sentinel-1 SAR with Deep Learning

Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an i...
02/17/2020 ∙ by Manu Tom, et al. ∙ 0 ∙ share

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ResDepth: Learned Residual Stereo Reconstruction

We propose an embarrassingly simple, but very effective scheme for high-...
01/22/2020 ∙ by Corinne Stucker, et al. ∙ 8 ∙ share

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Learned Multi-View Texture Super-Resolution

We present a super-resolution method capable of creating a high-resoluti...
01/14/2020 ∙ by Audrey Richard, et al. ∙ 26 ∙ share

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Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations

The goal of many computer vision systems is to transform image pixels in...
01/06/2020 ∙ by Nadine Rueegg, et al. ∙ 18 ∙ share

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Self-supervised Object Motion and Depth Estimation from Video

We present a self-supervised learning framework to estimate the individu...
12/09/2019 ∙ by Qi Dai, et al. ∙ 14 ∙ share

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Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

We propose a new stackable recurrent cell (STAR) for recurrent neural ne...
11/25/2019 ∙ by Mehmet Ozgur Turkoglu, et al. ∙ 1 ∙ share

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From Google Maps to a Fine-Grained Catalog of Street trees

Up-to-date catalogs of the urban tree population are important for munic...
10/07/2019 ∙ by Steve Branson, et al. ∙ 21 ∙ share

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Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

The success of monocular depth estimation relies on large and diverse tr...
07/02/2019 ∙ by Katrin Lasinger, et al. ∙ 10 ∙ share

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CVPR19 Tracking and Detection Challenge: How crowded can it get?

Standardized benchmarks are crucial for the majority of computer vision ...
06/10/2019 ∙ by Patrick Dendorfer, et al. ∙ 8 ∙ share

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Country-wide high-resolution vegetation height mapping with Sentinel-2

Sentinel-2 multi-spectral images collected over periods of several month...
04/30/2019 ∙ by Nico Lang, et al. ∙ 0 ∙ share

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Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

Guided super-resolution is a unifying framework for several computer vis...
04/02/2019 ∙ by Riccardo de Lutio, et al. ∙ 8 ∙ share

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Visual recognition in the wild by sampling deep similarity functions

Recognising relevant objects or object states in its environment is a ba...
03/15/2019 ∙ by Mikhail Usvyatsov, et al. ∙ 0 ∙ share

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Practical optimal registration of terrestrial LiDAR scan pairs

Point cloud registration is a fundamental problem in 3D scanning. In thi...
11/25/2018 ∙ by Zhipeng Cai, et al. ∙ 0 ∙ share

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3D Fluid Flow Estimation with Integrated Particle Reconstruction

The standard approach to densely reconstruct the motion in a volume of f...
04/09/2018 ∙ by Katrin Lasinger, et al. ∙ 0 ∙ share

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Variational 3D-PIV with Sparse Descriptors

3D Particle Imaging Velocimetry (3D-PIV) aim to recover the flow field i...
04/09/2018 ∙ by Katrin Lasinger, et al. ∙ 0 ∙ share

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Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

The Sentinel-2 satellite mission delivers multi-spectral imagery with 13...
03/12/2018 ∙ by Charis Lanaras, et al. ∙ 0 ∙ share

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Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks

While CNNs naturally lend themselves to densely sampled data, and sophis...
01/31/2018 ∙ by Timo Hackel, et al. ∙ 0 ∙ share

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Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data

Very High Spatial Resolution (VHSR) large-scale SAR image databases are ...
11/06/2017 ∙ by Dimitrios Marmanis, et al. ∙ 0 ∙ share

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Semantic 3D Reconstruction with Finite Element Bases

We propose a novel framework for the discretisation of multi-label probl...
10/04/2017 ∙ by Audrey Richard, et al. ∙ 0 ∙ share

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Learning Aerial Image Segmentation from Online Maps

This study deals with semantic segmentation of high-resolution (aerial) ...
07/21/2017 ∙ by Pascal Kaiser, et al. ∙ 0 ∙ share

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Semantically Informed Multiview Surface Refinement

We present a method to jointly refine the geometry and semantic segmenta...
06/26/2017 ∙ by Maros Blaha, et al. ∙ 0 ∙ share

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Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

This paper presents a new 3D point cloud classification benchmark data s...
04/12/2017 ∙ by Timo Hackel, et al. ∙ 0 ∙ share

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Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking

Standardized benchmarks are crucial for the majority of computer vision ...
04/10/2017 ∙ by Laura Leal-Taixé, et al. ∙ 0 ∙ share

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Learned Spectral Super-Resolution

We describe a novel method for blind, single-image spectral super-resolu...
03/28/2017 ∙ by Silvano Galliani, et al. ∙ 0 ∙ share

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Learned Multi-Patch Similarity

Estimating a depth map from multiple views of a scene is a fundamental t...
03/26/2017 ∙ by Wilfried Hartmann, et al. ∙ 0 ∙ share

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Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

We present an end-to-end trainable deep convolutional neural network (DC...
12/05/2016 ∙ by Dimitrios Marmanis, et al. ∙ 0 ∙ share

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Tracking with multi-level features

We present a novel formulation of the multiple object tracking problem w...
07/25/2016 ∙ by Roberto Henschel, et al. ∙ 1 ∙ share

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Learning by tracking: Siamese CNN for robust target association

This paper introduces a novel approach to the task of data association w...
04/26/2016 ∙ by Laura Leal-Taixé, et al. ∙ 0 ∙ share

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Online Multi-Target Tracking Using Recurrent Neural Networks

We present a novel approach to online multi-target tracking based on rec...
04/13/2016 ∙ by Anton Milan, et al. ∙ 0 ∙ share

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MOT16: A Benchmark for Multi-Object Tracking

Standardized benchmarks are crucial for the majority of computer vision ...
03/02/2016 ∙ by Anton Milan, et al. ∙ 0 ∙ share

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MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

In the recent past, the computer vision community has developed centrali...
04/08/2015 ∙ by Laura Leal-Taixé, et al. ∙ 0 ∙ share

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Towards Scene Understanding with Detailed 3D Object Representations

Current approaches to semantic image and scene understanding typically e...
11/18/2014 ∙ by M. Zeeshan Zia, et al. ∙ 0 ∙ share

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