Search Results - "Computer Graphics and Computer"

PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets by Zhang, Yuhe, Andreas Noack, Mike, Vagovic, Patrik, Fezzaa, Kamel, Garcia-Moreno, Francisco, Ritschel, Tobias, Villanueva-Perez, Pablo

“…Phase retrieval approaches based on deep learning (DL) provide a framework to obtain phase information from an intensity hologram or diffraction pattern in a…”
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Robust Visual Tracking via Convolutional Networks Without Training by Zhang, Kaihua, Liu, Qingshan, Wu, Yi, Yang, Ming-Hsuan

“…Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However, the…”
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NICE-SLAM: Neural Implicit Scalable Encoding for SLAM by Zhu, Zihan, Peng, Songyou, Larsson, Viktor, Xu, Weiwei, Bao, Hujun, Cui, Zhaopeng, Oswald, Martin R., Pollefeys, Marc

“…Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and…”
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Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions by Sattler, Torsten, Maddern, Will, Toft, Carl, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Kahl, Fredrik, Pajdla, Tomas

“…Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical…”
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City-Scale Localization for Cameras with Known Vertical Direction by Svarm, Linus, Enqvist, Olof, Kahl, Fredrik, Oskarsson, Magnus

“…We consider the problem of localizing a novel image in a large 3D model, given that the gravitational vector is known. In principle, this is just an instance…”
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Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition by Mathe, Stefan, Sminchisescu, Cristian

“…Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer…”
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A multi-centre polyp detection and segmentation dataset for generalisability assessment by Ali, Sharib, Jha, Debesh, Ghatwary, Noha, Realdon, Stefano, Cannizzaro, Renato, Salem, Osama E., Lamarque, Dominique, Daul, Christian, Riegler, Michael A., Anonsen, Kim V., Petlund, Andreas, Halvorsen, Pål, Rittscher, Jens, de Lange, Thomas, East, James E.

“…Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure…”
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Diffeomorphic Counterfactuals With Generative Models by Dombrowski, Ann-Kathrin, Gerken, Jan E., Muller, Klaus-Robert, Kessel, Pan

“…Counterfactuals can explain classification decisions of neural networks in a human interpretable way. We propose a simple but effective method to generate such…”
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Pixel-Perfect Structure-From-Motion With Featuremetric Refinement by Sarlin, Paul-Edouard, Lindenberger, Philipp, Larsson, Viktor, Pollefeys, Marc

“…Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects…”
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Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera by Kelly, Julia, Kljun, Natascha, Olsson, Per-Ola, Mihai, Laura, Liljeblad, Bengt, Weslien, Per, Klemedtsson, Leif, Eklundh, Lars

“…Miniaturized thermal infrared (TIR) cameras that measure surface temperature are increasingly available for use with unmanned aerial vehicles (UAVs). However,…”
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Deep Learning of Graph Matching by Zanfir, Andrei, Sminchisescu, Cristian

“…The problem of graph matching under node and pairwise constraints is fundamental in areas as diverse as combinatorial optimization, machine learning or…”
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X-ray nano-holotomography reconstruction with simultaneous probe retrieval by Nikitin, Viktor, Carlsson, Marcus, Gürsoy, Doğa, Mokso, Rajmund, Cloetens, Peter

“…In conventional tomographic reconstruction, the pre-processing step includes flat-field correction, where each sample projection on the detector is divided by…”
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Reconstructing Three-Dimensional Models of Interacting Humans by Fieraru, Mihai, Zanfir, Mihai, Oneata, Elisabeta, Popa, Alin-Ionut, Olaru, Vlad, Sminchisescu, Cristian

“…Understanding 3D human interactions is fundamental for fine-grained scene analysis and behavioural modeling. However, most of the existing models predict…”
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Reinforcement Learning for Visual Object Detection by Mathe, Stefan, Pirinen, Aleksis, Sminchisescu, Cristian

“…One of the most widely used strategies for visual object detection is based on exhaustive spatial hypothesis search. While methods like sliding windows have…”
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Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving by Alibeigi, Mina, Ljungbergh, William, Tonderski, Adam, Hess, Georg, Lilja, Adam, Lindström, Carl, Motorniuk, Daria, Fu, Junsheng, Widahl, Jenny, Petersson, Christoffer

“…Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To…”
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Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology by Lürig, Moritz D., Donoughe, Seth, Svensson, Erik I., Porto, Arthur, Tsuboi, Masahito

“…For centuries, ecologists and evolutionary biologists have used images such as drawings, paintings and photographs to record and quantify the shapes and…”
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Robust abdominal organ segmentation using regional convolutional neural networks by Larsson, Måns, Zhang, Yuhang, Kahl, Fredrik

“…[Display omitted] •A fully automatic system for abdominal organ segmentation is presented.•Regional convolutional neural networks are used for organwise…”
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RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES by Han, San, Dubois, Yohan, Lee, Jaehyun, Kim, Juhan, Cadiou, Corentin, Yi, Sukyoung K.

“…Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing for the upcoming era of exascale computing. RAMSES is an…”
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Biasing moral decisions by exploiting the dynamics of eye gaze by Pärnamets, Philip, Johansson, Petter, Hall, Lars, Balkenius, Christian, Spivey, Michael J, Richardson, Daniel C

“…Eye gaze is a window onto cognitive processing in tasks such as spatial memory, linguistic processing, and decision making. We present evidence that…”
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What is a blink? Classifying and characterizing blinks in eye openness signals by Nyström, Marcus, Andersson, Richard, Niehorster, Diederick C., Hessels, Roy S., Hooge, Ignace T. C.

“…Blinks, the closing and opening of the eyelids, are used in a wide array of fields where human function and behavior are studied. In data from video-based eye…”
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