Search Results - "Rukhovich, Danila"

Recognition of the Bare Soil Using Deep Machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Danila D., Rukhovich, Alexey D.

“…The detection of degraded soil distribution areas is an urgent task. It is difficult and very time consuming to solve this problem using ground methods. The…”
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The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Danila D., Kalinina, Natalia V.

“…Soil degradation processes are widespread on agricultural land. Ground-based methods for detecting degradation require a lot of labor and time. Remote methods…”
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ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection by Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton

“…In this paper, we introduce the task of multi-view RGB-based 3D object detection as an end-to-end optimization problem. To address this problem, we propose…”
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TR3D: Towards Real-Time Indoor 3D Object Detection by Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton

“…Recently, sparse 3D convolutions have changed 3D object detection. Performing on par with the voting-based approaches, 3D CNNs are memory-efficient and scale…”
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Top-Down Beats Bottom-Up in 3D Instance Segmentation by Kolodiazhnyi, Maksim, Vorontsova, Anna, Konushin, Anton, Rukhovich, Danila

“…Most 3D instance segmentation methods exploit a bottom-up strategy, typically including resource-exhaustive post-processing. For point grouping, bottom-up…”
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TR3D: Towards Real-Time Indoor 3D Object Detection by Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton

“…Recently, sparse 3D convolutions have changed 3D object detection. Performing on par with the voting-based approaches, 3D CNNs are memory-efficient and scale…”
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UniDet3D: Multi-dataset Indoor 3D Object Detection by Kolodiazhnyi, Maksim, Vorontsova, Anna, Skripkin, Matvey, Rukhovich, Danila, Konushin, Anton

“…Growing customer demand for smart solutions in robotics and augmented reality has attracted considerable attention to 3D object detection from point clouds…”
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MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge by Rukhovich, Danila, Galeev, Danil

“…We present a domain adaptation (DA) system that can be used in multi-source and semi-supervised settings. Using the proposed method we achieved 2nd place on…”
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OneFormer3D: One Transformer for Unified Point Cloud Segmentation by Kolodiazhnyi, Maxim, Vorontsova, Anna, Konushin, Anton, Rukhovich, Danila

“…Semantic, instance, and panoptic segmentation of 3D point clouds have been addressed using task-specific models of distinct design. Thereby, the similarity of…”
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OneFormer3D: One Transformer for Unified Point Cloud Segmentation by Kolodiazhnyi, Maxim, Vorontsova, Anna, Konushin, Anton, Rukhovich, Danila

“…Semantic, instance, and panoptic segmentation of 3D point clouds have been addressed using task-specific models of distinct design. Thereby, the similarity of…”
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FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection by Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton

“…Recently, promising applications in robotics and augmented reality have attracted considerable attention to 3D object detection from point clouds. In this…”
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Top-Down Beats Bottom-Up in 3D Instance Segmentation by Kolodiazhnyi, Maksim, Vorontsova, Anna, Konushin, Anton, Rukhovich, Danila

“…Most 3D instance segmentation methods exploit a bottom-up strategy, typically including resource-exhaustive post-processing. For point grouping, bottom-up…”
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ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection by Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton

“…In this paper, we introduce the task of multi-view RGB-based 3D object detection as an end-to-end optimization problem. To address this problem, we propose…”
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How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks? by Sosa, Jose, Aloulou, Mohamed, Rukhovich, Danila, Sleimi, Rim, Changaival, Boonyarit, Kacem, Anis, Aouada, Djamila

“…Self-supervised pre-training has proven highly effective for many computer vision tasks, particularly when labelled data are scarce. In the context of Earth…”
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Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data by Rukhovich, Danila, Mouritzen, Daniel, Kaestner, Ralf, Rufli, Martin, Velizhev, Alexander

“…This paper addresses the problem of scale estimation in monocular SLAM by estimating absolute distances between camera centers of consecutive image frames…”
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IterDet: Iterative Scheme for Object Detection in Crowded Environments by Rukhovich, Danila, Sofiiuk, Konstantin, Galeev, Danil, Barinova, Olga, Konushin, Anton

“…Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object. These boxes are…”
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Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data by Rukhovich, Danila, Mouritzen, Daniel, Kaestner, Ralf, Rufli, Martin, Velizhev, Alexander

“…This paper addresses the problem of scale estimation in monocular SLAM by estimating absolute distances between camera centers of consecutive image frames…”
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Learning High-Resolution Domain-Specific Representations with a GAN Generator by Galeev, Danil, Sofiiuk, Konstantin, Rukhovich, Danila, Romanov, Mikhail, Barinova, Olga, Konushin, Anton

“…In recent years generative models of visual data have made a great progress, and now they are able to produce images of high quality and diversity. In this…”
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