Learning to See by Moving
Biological organisms learn to solve complex tasks by moving around their environment. This behavior can be replicated…
DEEPSELF: An Open Source Deep Self End-to-End Learning Framework
This paper introduces an open-source, deep Self End-to-end Learning Framework, ‘DEEPSELF.’ This framework can be used as…
FaR-GAN for One-Shot Face Reenactment
So far, it was only possible to animate a picture by using a large set of images…
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
This paper presents a new text to mel-spectrogram synthesis model, ‘Flowtron,’ based on autoregressive flows that is…
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
This paper enables the use of recent advances in computer vision to the conventional image editing pipeline…
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
This is a very interesting paper focussing on the problems in autonomous driving system development. Autonomous driving…
Condensed Movies: Story Based Retrieval with Contextual Embeddings
The objective of this paper is the understanding of the long-range narrative structure of movies. This paper…
Sherpa: Robust Hyperparameter Optimization for Machine Learning
This is a very interesting paper which presents ‘SHERPA’, a Python library for hyperparameter tuning of machine…