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06/05/2023
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
Nowadays, robotics, AR, and 3D modeling applications attract considerabl...
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05/30/2023
Independent Component Alignment for Multi-Task Learning
In a multi-task learning (MTL) setting, a single model is trained to tac...
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02/13/2023
Contour-based Interactive Segmentation
Recent advances in interactive segmentation (IS) allow speeding up and s...
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02/06/2023
Top-Down Beats Bottom-Up in 3D Instance Segmentation
Most 3D instance segmentation methods exploit a bottom-up strategy, typi...
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02/06/2023
TR3D: Towards Real-Time Indoor 3D Object Detection
Recently, sparse 3D convolutions have changed 3D object detection. Perfo...
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10/10/2022
Floorplan-Aware Camera Poses Refinement
Processing large indoor scenes is a challenging task, as scan registrati...
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12/01/2021
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
Recently, promising applications in robotics and augmented reality have ...
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06/02/2021
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
In this paper, we introduce the task of multi-view RGB-based 3D object d...
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02/12/2021
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
Recent works on click-based interactive segmentation have demonstrated s...
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01/13/2021
Road images augmentation with synthetic traffic signs using neural networks
Traffic sign recognition is a well-researched problem in computer vision...
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09/25/2020
Towards General Purpose and Geometry Preserving Single-View Depth Estimation
Single-view depth estimation plays a crucial role in scene understanding...
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06/18/2020
Learning High-Resolution Domain-Specific Representations with a GAN Generator
In recent years generative models of visual data have made a great progr...
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06/01/2020
Foreground-aware Semantic Representations for Image Harmonization
Image harmonization is an important step in photo editing to achieve vis...
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05/18/2020
Decoder Modulation for Indoor Depth Completion
Accurate depth map estimation is an essential step in scene spatial mapp...
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05/12/2020
IterDet: Iterative Scheme for ObjectDetection in Crowded Environments
Deep learning-based detectors usually produce a redundant set of object ...
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01/28/2020
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
Deep neural networks have become a mainstream approach to interactive se...
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12/11/2019
Training Deep SLAM on Single Frames
Learning-based visual odometry and SLAM methods demonstrate a steady imp...
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10/10/2019
Measuring robustness of Visual SLAM
Simultaneous localization and mapping (SLAM) is an essential component o...
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09/26/2019
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation
We present a novel dataset for training and benchmarking semantic SLAM m...
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09/17/2019
AdaptIS: Adaptive Instance Selection Network
We present Adaptive Instance Selection network architecture for class-ag...
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09/12/2019
Perceptual Image Anomaly Detection
We present a novel method for image anomaly detection, where algorithms ...
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07/16/2019
Scene Motion Decomposition for Learnable Visual Odometry
Optical Flow (OF) and depth are commonly used for visual odometry since ...
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11/20/2018
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
Monocular Depth Estimation is an important problem of Computer Vision th...
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10/17/2017