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Knowledge Graph - Chapter 8 Refinement
Self-Supervised Learning of Single View Depth and Surface Normal Estimation
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Depth Reconstruction
Density estimation with normalizing flow in a minute
Knowledge Gap 2023: Thomas Frisendal on Graph Normal Form
Temporally Consistent Depth Estimation in Videos with Recurrent Arhitectures
Joint Texture and Geometry Optimization for RGB-D Reconstruction
Kernel Density Estimation - Explained
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field
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Last Updated: September 29, 2026
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Authors: Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard Description: Authors: Iwaguchi, Takafumi*; Kawasaki, Hiroshi Description: Photometric stereo (PS) is a major technique to recover surface ... This video is a demo (a test sequence on KITTI dataset) for our ICRA 2019 paper. The paper can be found here: ... Welcome to IJCAI 2021 AI4AD Workshop! ai4ad.net Title: VR3Dense: Voxel Representation Learning for 3D Object ... Normalizing flow is a generative deep neural network which can output a probability density function describing your data, ... Speaker: Thomas Frisendal ( linkedin.com/in/thomas-frisendal-19a56a/ ) Topic: Convolutional networks trained on large RGB-D datasets have enabled Authors: Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao Description: Due to inevitable noises and quantization error, the ... Title: Learning a Geometric Representation for Data-Efficient
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