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Deep Learning for Computer Vision
Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson.
computer-vision deep-learning course video
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning computer-vision de-occlusion image-generation
Illustrated Guide to Transformers: Step by Step Explanation
In this post, we’ll focus on the one paper that started it all, “Attention is all you need”.
transformers illustrated natural-language-processing tutorial
NeuralCook — Image2Ingredients and Cooking Recommendation
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.
cooking text-generation recommendation-systems joint-embeddings
W4995 Applied Machine Learning
This class offers a hands-on approach to machine learning and data science.
machine-learning applied-machine-learning columbia w4995
STEFANN: Scene Text Editor using Font Adaptive Neural Network
A generalized method for realistic modification of textual content present in a scene image. ⭐️ Accepted in CVPR 2020.
scene-image scene-text-editor font-adaptive font-generation
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...
motion-generation video retargeting transmomo
Building Level 3 Conversational AI Assistants
Presentations, panels, and fireside chats addressing all topics related to the creation of Level 3 AI assistants.
conversational-ai chatbot level-3 video
Discovering Symbolic Models from Deep Learning w/ Inductive Bias
A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.
symbolic-models inductive-bias graph-neural-networks graphs
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