205 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Austrian Research Institute for Artificial IntelligenceAT18 papers
- Helmholtz Institute Freiberg for Resource TechnologyDE10 papers
- Helmholtz-Zentrum Dresden-RossendorfDE10 papers
- TU WienAT5 papers
- Complexity and Topology in Quantum MatterDE3 papers
- University of TorontoCA3 papers
- University of WürzburgDE3 papers
- Wuhan UniversityCN3 papers
- Hunan UniversityCN2 papers
- Johannes Kepler University of LinzAT2 papers
- Peng Cheng LaboratoryCN2 papers
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingCN2 papers
24 papers
CA-Stream: Attention-based pooling for interpretable image recognition
Felipe Torres, Hanwei Zhang, Ronan Sicre +2
Explanations obtained from transformer-based architectures in the form of raw attention, can be seen as a class-agnostic saliency map. Additionally, attention-based pooling serves…
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg +1
Mixup refers to interpolation-based data augmentation, originally motivated as a way to go beyond empirical risk minimization (ERM). Its extensions mostly focus on the definition o…
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping
Ali Jamali, Swalpa Kumar Roy, Danfeng Hong +2
Convolutional Neural Networks (CNNs) are models that are utilized extensively for the hierarchical extraction of features. Vision transformers (ViTs), through the use of a self-att…
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy +6
The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop…
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Moritz Neun, Christian Eichenberger, Yanan Xin +7
Traffic analysis is crucial for urban operations and planning, while the availability of dense urban traffic data beyond loop detectors is still scarce. We present a large-scale fl…
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi
Recent years have witnessed the great success of deep learning algorithms in the geoscience and remote sensing realm. Nevertheless, the security and robustness of deep learning mod…
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho +13
A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could significantly accelerate the progress of science. A…
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
Yonghao Xu, Weikang Yu, Pedram Ghamisi +2
The synthesis of high-resolution remote sensing images based on text descriptions has great potential in many practical application scenarios. Although deep neural networks have ac…
Trackintel: An open-source Python library for human mobility analysis
Henry Martin, Ye Hong, Nina Wiedemann +2
Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data…
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi +2
This study introduces \textit{Landslide4Sense}, a reference benchmark for landslide detection from remote sensing. The repository features 3,799 image patches fusing optical layers…
What to Hide from Your Students: Attention-Guided Masked Image Modeling
Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas +4
Transformers and masked language modeling are quickly being adopted and explored in computer vision as vision transformers and masked image modeling (MIM). In this work, we argue t…
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection
Shizhen Chang, Pedram Ghamisi
Recently, many collaborative representation-based (CR) algorithms have been proposed for hyperspectral anomaly detection. CR-based detectors approximate the image by a linear combi…
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Yonghao Xu, Pedram Ghamisi
Deep neural networks have achieved great success in many important remote sensing tasks. Nevertheless, their vulnerability to adversarial examples should not be neglected. In this…
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
Yonghao Xu, Pedram Ghamisi
Deep learning algorithms have obtained great success in semantic segmentation of very high-resolution (VHR) images. Nevertheless, training these models generally requires a large a…
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
Weiwei Song, Zhi Gao, Renwei Dian +3
Remote sensing image retrieval (RSIR), aiming at searching for a set of similar items to a given query image, is a very important task in remote sensing applications. Deep hashing…
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
Ming Lu, Leyuan Fang, Muxing Li +3
The use of deep learning for water extraction requires precise pixel-level labels. However, it is very difficult to label high-resolution remote sensing images at the pixel level.…
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu, Fengxiang He, Bo Du +2
Deep neural networks (DNNs) have greatly contributed to the performance gains in semantic segmentation. Nevertheless, training DNNs generally requires large amounts of pixel-level…
Robust Self-Ensembling Network for Hyperspectral Image Classification
Yonghao Xu, Bo Du, Liangpei Zhang
Recent research has shown the great potential of deep learning algorithms in the hyperspectral image (HSI) classification task. Nevertheless, training these models usually requires…
Conceptual understanding through efficient inverse-design of quantum optical experiments
Mario Krenn, Jakob Kottmann, Nora Tischler +1
One crucial question within artificial intelligence research is how this technology can be used to discover new scientific concepts and ideas. We present Theseus, an explainable AI…
Fingerprints of the local moment formation and its Kondo screening in the generalized susceptibilities of many-electron problems
Patrick Chalupa, Thomas Schäfer, Matthias Reitner +3
We identify the precise hallmarks of the local magnetic moment formation and its Kondo screening in the frequency structure of the generalized charge susceptibility. The sharpness…
Attractive effect of a strong electronic repulsion -- the physics of vertex divergences
M. Reitner, P. Chalupa, L. Del Re +4
While the breakdown of the perturbation expansion for the many-electron problem has several formal consequences, here we unveil its physical effect: Flipping the sign of the effect…
Coulomb Engineering of two-dimensional Mott materials
Erik G. C. P. van Loon, Malte Schüler, Daniel Springer +3
Two-dimensional materials can be strongly influenced by their surroundings. A dielectric environment screens and reduces the Coulomb interaction between electrons in the two-dimens…
Quantum Optical Experiments Modeled by Long Short-Term Memory
Thomas Adler, Manuel Erhard, Mario Krenn +3
We demonstrate how machine learning is able to model experiments in quantum physics. Quantum entanglement is a cornerstone for upcoming quantum technologies such as quantum computa…
Osmates on the verge of a Hund's-Mott transition: The different fates of NaOsO and LiOsO
Daniel Springer, Bongjae Kim, Peitao Liu +6
We clarify the origin of the strikingly different spectroscopic properties of the chemically similar compounds NaOsO and LiOsO. Our first-principle many-body analysis demon…