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主な研究プロジェクト
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INF: Implicit Neural Fusion for LiDAR and Camera |
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Hierarchical Neural Memory Network for Low Latency Event Processing |
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Fast Structural Representation and Structure-aware Loop Closing for Visual SLAM |
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LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium |
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Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation |
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Privacy Preserving Visual SLAM |
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Weakly Supervised Silhouette-based Semantic Change Detection |
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TriDepth: Triangular Patch-based Deep Depth Prediction |
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Rare Event Detection using Disentangled Representation Learning |
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Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera |
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Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard |
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Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets |
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Damage Detection from Aerial Images via Convolutional Neural Networks |
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Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data |
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Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation |
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Massive City-scale Surface Condition Analysis using Ground and Aerial Imagery | ||
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Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-mounted Camera |
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