Erik Gärtner
Deep Learning Research Scientist at RADiCAL
Ph.D. in Computer Vision and Machine Learning
Tags
javascript d3 visualization python nodejs webapp meteor nlp data mining machine learning sentiment analysis open source lufoss award openhack opensource jupyter development methodology msc thesis information extraction mongodb dsl ui nvidia cuda ubuntu guide reinforcement learning caffe policy gradients hyperparameter optimization docker google hash code presentation publication computer vision#javascript
#d3
#visualization
#python
#nodejs
#webapp
#meteor
#nlp
#data mining
#machine learning
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Sentimental
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My Master's Thesis & The Lessons Learnt
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Prometheus
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Implementing Policy Gradients in Caffe
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Hyperdock
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Invited Speaker at AIML
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Paper accepted to NeurIPS
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Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
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Oral presentation at AAAI
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Deep Reinforcement Learning for Active Human Pose Estimation
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Embodied Visual Active Learning for Semantic Segmentation
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Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video
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Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
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Two papers accepted to CVPR
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Transformer-Based Learned Optimization
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Paper accepted to CVPR
#sentiment analysis
#open source
#lufoss
#award
#openhack
#opensource
#jupyter
#development methodology
#msc thesis
#information extraction
#mongodb
#dsl
#ui
#nvidia cuda
#ubuntu
#guide
#reinforcement learning
#caffe
#policy gradients
#hyperparameter optimization
#docker
#google hash code
#presentation
#publication
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Paper accepted to NeurIPS
-
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
-
Oral presentation at AAAI
-
Deep Reinforcement Learning for Active Human Pose Estimation
-
Embodied Visual Active Learning for Semantic Segmentation
-
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video
-
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
-
Two papers accepted to CVPR
-
Transformer-Based Learned Optimization
-
Paper accepted to CVPR
#computer vision
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Paper accepted to NeurIPS
-
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
-
Oral presentation at AAAI
-
Deep Reinforcement Learning for Active Human Pose Estimation
-
Embodied Visual Active Learning for Semantic Segmentation
-
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video
-
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
-
Two papers accepted to CVPR
-
Transformer-Based Learned Optimization
-
Paper accepted to CVPR