papers | Deep Learning JP - Part 52

Learning to Simulate Complex Physics with Graph Networks

Pose Manipulation with Identity Preservation

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities

High-Quality Self-Supervised Deep Image Denoising

Designing Network Design Spaces [CVPR2020]

Tracking Objects as Points

CNN – based Density Estimation and CrowdCounting A Survey

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

MAST: A Memory-Augmented Self-supervised Tracker

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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