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PREDATOR: Registration of 3D Point Clouds with Low Overlap
We introduce PREDATOR, a model for pairwise point-cloud registration wit...
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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...
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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Standardized benchmarks have been crucial in pushing the performance of ...
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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...
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KAPLAN: A 3D Point Descriptor for Shape Completion
We present a novel 3D shape completion method that operates directly on ...
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From two rolling shutters to one global shutter
Most consumer cameras are equipped with electronic rolling shutter, lead...
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Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images
Modern high-resolution satellite sensors collect optical imagery with gr...
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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 ...
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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 ...
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MOT20: A benchmark for multi object tracking in crowded scenes
Standardized benchmarks are crucial for the majority of computer vision ...
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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...
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Indoor Scene Recognition in 3D
Recognising in what type of environment one is located is an important p...
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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...
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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...
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ResDepth: Learned Residual Stereo Reconstruction
We propose an embarrassingly simple, but very effective scheme for high-...
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Learned Multi-View Texture Super-Resolution
We present a super-resolution method capable of creating a high-resoluti...
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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...
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Self-supervised Object Motion and Depth Estimation from Video
We present a self-supervised learning framework to estimate the individu...
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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...
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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...
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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...
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CVPR19 Tracking and Detection Challenge: How crowded can it get?
Standardized benchmarks are crucial for the majority of computer vision ...
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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...
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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...
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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...
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Practical optimal registration of terrestrial LiDAR scan pairs
Point cloud registration is a fundamental problem in 3D scanning. In thi...
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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...
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Variational 3D-PIV with Sparse Descriptors
3D Particle Imaging Velocimetry (3D-PIV) aim to recover the flow field i...
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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...
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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...
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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 ...
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Semantic 3D Reconstruction with Finite Element Bases
We propose a novel framework for the discretisation of multi-label probl...
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Learning Aerial Image Segmentation from Online Maps
This study deals with semantic segmentation of high-resolution (aerial) ...
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Semantically Informed Multiview Surface Refinement
We present a method to jointly refine the geometry and semantic segmenta...
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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...
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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 ...
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Learned Spectral Super-Resolution
We describe a novel method for blind, single-image spectral super-resolu...
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Learned Multi-Patch Similarity
Estimating a depth map from multiple views of a scene is a fundamental t...
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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...
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Tracking with multi-level features
We present a novel formulation of the multiple object tracking problem w...
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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...
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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...
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MOT16: A Benchmark for Multi-Object Tracking
Standardized benchmarks are crucial for the majority of computer vision ...
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MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
In the recent past, the computer vision community has developed centrali...
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Towards Scene Understanding with Detailed 3D Object Representations
Current approaches to semantic image and scene understanding typically e...
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