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The feature correlation layer serves as a key neural network module in numerous computer vision problems that involve dense correspondences between image pairs. It predicts a correspondence volume by evaluating dense scalar products between…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Prune Truong , Martin Danelljan , Luc Van Gool , Radu Timofte

Micro aerial vehicles (MAVs) hold the potential for performing autonomous and contactless land surveys for the detection of landmines and explosive remnants of war (ERW). Metal detectors are the standard detection tool but must be operated…

Robotics · Computer Science 2023-10-03 Patrick Pfreundschuh , Rik Bähnemann , Tim Kazik , Thomas Mantel , Roland Siegwart , Olov Andersson

Causal discovery algorithms based on probabilistic graphical models have emerged in geoscience applications for the identification and visualization of dynamical processes. The key idea is to learn the structure of a graphical model from…

Machine Learning · Computer Science 2015-12-29 Imme Ebert-Uphoff , Yi Deng

We introduce InteractVLM, a novel method to estimate 3D contact points on human bodies and objects from single in-the-wild images, enabling accurate human-object joint reconstruction in 3D. This is challenging due to occlusions, depth…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Sai Kumar Dwivedi , Dimitrije Antić , Shashank Tripathi , Omid Taheri , Cordelia Schmid , Michael J. Black , Dimitrios Tzionas

We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock traits (size, roundness, and orientation) along a tectonic…

We propose an approach for characterizing source-impact pathways, the interactions of a set of variables in space-time due to an external forcing, in climate models using in-situ analyses that circumvent computationally expensive read/write…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-09 Andrew Steyer , Luca Bertagna , Graham Harper , Jerry Watkins , Irina Tezaur , Diana Bull

With recent advances in Multimodal Large Language Models (MLLMs), grounding and referring capabilities have gained increasing attention for achieving detailed understanding and flexible user interaction. However, these capabilities still…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Yinan Zhou , Yuxin Chen , Haokun Lin , Yichen Wu , Shuyu Yang , Zhongang Qi , Chen Ma , Li Zhu , Ying Shan

Surface information derived from exospheric measurements at planetary bodies complements surface mapping provided by dedicated imagers, offering critical insights into surface release processes, interactions within the planetary…

Correlation functions, such as static and dynamic structure factors, offer a versatile approach to analyzing atomic-scale structure and dynamics. By having access to the full dynamics from atomistic simulations, they serve as valuable tools…

Recent advancements in radiance field rendering, exemplified by Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have significantly progressed 3D modeling and reconstruction. The use of multiple 360-degree omnidirectional…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Shintaro Ito , Natsuki Takama , Toshiki Watanabe , Koichi Ito , Hwann-Tzong Chen , Takafumi Aoki

Topographic models are essential for characterizing planetary surfaces and for inferring underlying geological processes. Nevertheless, meter-scale topographic data remain limited, which constrains detailed planetary investigations, even…

Earth and Planetary Astrophysics · Physics 2026-01-15 Hao Chen , Philipp Gläser , Konrad Willner , Jürgen Oberst

Identifying changes in a pair of 3D aerial LiDAR point clouds, obtained during two distinct time periods over the same geographic region presents a significant challenge due to the disparities in spatial coverage and the presence of noise…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Peter Naylor , Diego Di Carlo , Arianna Traviglia , Makoto Yamada , Marco Fiorucci

Outdoor maps and navigation information delivered by modern services and technologies like Google Maps and Garmin navigators have revolutionized the lifestyle of many people. Motivated by the desire for similar navigation systems for indoor…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Jacky C. K. Chow

Remote sensing plays a crucial role in monitoring Earth's ecosystems, yet satellite-derived data often suffer from limited spatial resolution, restricting their applicability in atmospheric modeling and climate research. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Christopher Ummerle , Antonio Giganti , Sara Mandelli , Paolo Bestagini , Stefano Tubaro

Residue-residue interactions that fold a protein into a unique three-dimensional structure and make it play a specific function impose structural and functional constraints on each residue site. Selective constraints on residue sites are…

Biomolecules · Quantitative Biology 2013-01-18 Sanzo Miyazawa

To recover the flow information encoded in travel-time data of time-distance helioseismology, accurate forward modeling and a robust inversion of the travel times are required. We accomplish this using three-dimensional finite-frequency…

Astrophysics · Physics 2009-11-13 J. Jackiewicz , L. Gizon , A. C. Birch

SMOS (Soil Moisture and Ocean Salinity), is the second mission of 'Earth Explorer' to be developed within the program 'Living Planet' of the European Space Agency (ESA). This satellite, containing the very first 1.4GHz interferometric…

The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an…

One of the main objectives of the Mars Exploration Program is to search for evidence of past or current life on the planet. To achieve this, Mars exploration has been focusing on regions that may have liquid or frozen water. A set of…

Earth and Planetary Astrophysics · Physics 2024-08-12 Kyle A. Pearson , Eldar Noe , Daniel Zhao , Alphan Altinok , Alex Morgan

Visual odometry and Simultaneous Localization And Mapping (SLAM) has been studied as one of the most important tasks in the areas of computer vision and robotics, to contribute to autonomous navigation and augmented reality systems. In case…

Robotics · Computer Science 2023-11-08 Seongwook Yoon , Jaehyun Kim , Sanghoon Sull