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07/28/2023
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
Automatic camera-assisted monitoring of insects for abundance estimation...
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07/28/2023
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
Biodiversity monitoring is crucial for tracking and counteracting advers...
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07/27/2023
Simplified Concrete Dropout – Improving the Generation of Attribution Masks for Fine-grained Classification
Fine-grained classification is a particular case of a classification pro...
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07/17/2023
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping
The plant community composition is an essential indicator of environment...
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12/21/2022
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
Detecting anomalies in time series data is important in a variety of fie...
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09/23/2022
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding
Estimating causal effects from observational data in the presence of lat...
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07/08/2022
Causal Discovery using Model Invariance through Knockoff Interventions
Cause-effect analysis is crucial to understand the underlying mechanism ...
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10/22/2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Deep-learning methods offer unsurpassed recognition performance in a wid...
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09/28/2021
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Learning from limited amounts of data is the hallmark of intelligence, r...
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09/22/2021
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
Estimating causal relations is vital in understanding the complex intera...
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09/14/2021
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
There are numerous methods for detecting anomalies in time series, but t...
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08/30/2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Data-efficient image classification using deep neural networks in settin...
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08/16/2021
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
We introduce a novel dataset for architectural style classification, con...
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06/21/2021
Automatic Plant Cover Estimation with CNNs Automatic Plant Cover Estimation with Convolutional Neural Networks
Monitoring the responses of plants to environmental changes is essential...
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04/22/2021
Self-Supervised Learning from Semantically Imprecise Data
Learning from imprecise labels such as "animal" or "bird", but making pr...
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04/16/2021
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
Satellite images are snapshots of the Earth surface. We propose to forec...
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03/10/2021
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
Bias in classifiers is a severe issue of modern deep learning methods, e...
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02/01/2021
Counterfactual Generation with Knockoffs
Human interpretability of deep neural networks' decisions is crucial, es...
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12/16/2020
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study
Identifying the direction of emotional influence in a dyadic dialogue is...
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12/11/2020
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
Climate change is global, yet its concrete impacts can strongly vary bet...
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11/12/2020
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Content-based image retrieval has seen astonishing progress over the pas...
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11/11/2020
Finding Relevant Flood Images on Twitter using Content-based Filters
The analysis of natural disasters such as floods in a timely manner ofte...
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10/13/2020
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Noisy data, crawled from the web or supplied by volunteers such as Mecha...
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07/04/2020
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition
Part-based approaches for fine-grained recognition do not show the expec...
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06/23/2020
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time
In this paper we propose a novel 3D single-shot object detection method ...
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06/15/2020
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
Object detection is an important task in environment perception for auto...
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06/14/2020
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
Detecting vehicles and representing their position and orientation in th...
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06/09/2020
Sensor Artificial Intelligence and its Application to Space Systems – A White Paper
Information and communication technologies have accompanied our everyday...
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01/20/2020
Active and Incremental Learning with Weak Supervision
Large amounts of labeled training data are one of the main contributors ...
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10/16/2019
LOST: A flexible framework for semi-automatic image annotation
State-of-the-art computer vision approaches rely on huge amounts of anno...
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10/14/2019
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection
The uniqueness, complexity, and diversity of facial shapes and expressio...
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09/23/2019
Predicting Landscapes from Environmental Conditions Using Generative Networks
Landscapes are meaningful ecological units that strongly depend on the e...
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09/16/2019
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
Fine-grained visual categorization is a classification task for distingu...
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08/12/2019
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
The essential task of verifying person identities at airports and nation...
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08/09/2019
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
The analysis of natural disasters such as floods in a timely manner ofte...
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02/01/2019
Do we train on test data? Purging CIFAR of near-duplicates
We find that 3.3 sets, respectively, have duplicates in the training set...
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01/25/2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Two things seem to be indisputable in the contemporary deep learning dis...
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12/11/2018
Towards Automatic Identification of Elephants in the Wild
Identifying animals from a large group of possible individuals is very i...
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11/17/2018
Integrating domain knowledge: using hierarchies to improve deep classifiers
One of the most prominent problems in machine learning in the age of dee...
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11/17/2018
Not just a matter of semantics: the relationship between visual similarity and semantic similarity
Knowledge transfer, zero-shot learning and semantic image retrieval are ...
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10/29/2018
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality
Human nonverbal emotional communication in dyadic dialogs is a process o...
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09/26/2018
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Deep neural networks trained for classification have been found to learn...
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09/26/2018
Active Learning for Deep Object Detection
The great success that deep models have achieved in the past is mainly o...
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09/07/2018
Information-Theoretic Active Learning for Content-Based Image Retrieval
We propose Information-Theoretic Active Learning (ITAL), a novel batch-m...
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04/19/2018
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Automatic detection of anomalies in space- and time-varying measurements...
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11/02/2017
Automatic Query Image Disambiguation for Content-Based Image Retrieval
Query images presented to content-based image retrieval systems often ha...
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05/23/2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
Evaluating expression of the Human epidermal growth factor receptor 2 (H...
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04/10/2017
Fast Learning and Prediction for Object Detection using Whitened CNN Features
We combine features extracted from pre-trained convolutional neural netw...
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03/05/2017
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the or...
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12/19/2016
