A friendly introduction to Convolutional Neural Networks and Image Recognition

How Convolutional Neural Networks work

How Deep Neural Networks Work

Deep Learning with Neural Networks and TensorFlow Introduction

AI Learns Semantic Style Transfer | Two Minute Papers #177

Real-Time Character Control With Phase-Functioned Neural Networks | Two Minute Papers #154

AI Learns to Synthesize Pictures of Animals | Two Minute Papers #152

NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

Deep Photo Style Transfer | Two Minute Papers #150

Semantic Scene Completion From One Depth Image | Two Minute Papers #147

Stable Neural Style Transfer | Two Minute Papers #136

Enhance! Super Resolution From Google | Two Minute Papers #124

Deep Learning Program Hallucinates Videos | Two Minute Papers #120

Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction, ICCV 2017

MonoFusion

MonoFusion: Scanning objects in real time with a single web camera

SLAM-Course - 01 - Introduction to Robot Mapping (2013/14; Cyrill Stachniss)

Keyframe-based SLAM for hand-held Augmented Reality

Real-Time Visual Localisation and Mapping with a Single Camera

ORB-SLAM2: an Open-Source SLAM for Monocular, Stereo and RGB-D Cameras

Parallel Tracking and Mapping for Small AR Workspaces (PTAM) - extra

SkiMap++: Real-Time Mapping and Object Recognition for Robotics

The Future of Art Production in Games

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Unsupervised Monocular Depth Estimation with Left-Right Consistency

ElasticFusion: Dense SLAM Without A Pose Graph (Extras)

Turning a horse video into a zebra video (by CycleGAN)

Slush 2017 LIVE – Central Stage, Day 2

Optimizing Video Object Detection via a Scale-Time Lattice

Reinforcement Learning in the OpenAI Gym (Tutorial) - Double Q Learning

Dynamic Transfer GAN

The Neural Aesthetic @ ITP-NYU :: 09 Music information retrieval, BIGGAN & GLOW

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

Occupancy Networks: Learning 3D Reconstruction in Function Space

RingNet: Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

16. Video Frame Prediction using CNNs and LSTMs (2019)

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Introduction to Deep Learning - 12. Advanced Deep Learning Topics (Summer 2020)

Deep Learning for “Exotic” Data Like 3D Meshes and Point-Clouds

22 - Geometric Deep Learning - Or Litany

3D Deep Learning with PyTorch3D

PySlowFast: Deep learning with Video

ICCV19: Oral Session 3.2B - Video & Action Understanding

Vittorio Ferrari - Recent research on 3D Deep Learning

Perceiving 3D humans from Single Images

DETR: End-to-End Object Detection with Transformers (Paper Explained)

Scene Graphs as a Symbolic Visual Representation

Deep Learning: A Crash Course (2018) | SIGGRAPH Courses

Vision Transformer in PyTorch

Enhancing Photorealism Enhancement

4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface (ICCV 2021)

08 PyTorch tutorial - What are data loaders and how to use them in PyTorch

Learning Commonsense Understanding through Language and Vision

We Were Right! Real Inner Misalignment

4th Workshop on Closing the Loop Between Vision and Language

AI Seminar Series: Daniel Brown - Efficient and Robust Learning of Human Intent

Motions Deepfake/Liquid Warping GAN Installation Tutorial

HuMoR: 3D Human Motion Model for Robust Pose Estimation (ICCV 2021)

SPEC: Seeing People in the Wild with an Estimated Camera (ICCV 2021)

Few-Shot Learning (1/3): Basic Concepts