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zoombapup | 117 videos | Updated 2 months ago
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52:23

undergraduate machine learning 9: Hidden Markov models - HMM

Nando de Freitas

 LIVE

[Private video]

5:40

ADAPT: The Agent Development and Prototyping Testbed (TVCG 2014)

ashoulson

5:25

Towards an Accessible Interface for StoryWorld Building

Computer Graphics Laboratory

4:02

Human Pose Estimation With Deep Learning | Two Minute Papers #106

Two Minute Papers

2:07

Realtime Hand Tracking from Video

Perceptual Computing Laboratory

5:55

Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction -- CVPR 2015

Michael Black

0:31

Seeing, Sensing and Recognizing Laban Movement Qualities

ACM SIGCHI

 LIVE

[Private video]

 LIVE

[Private video]

3:53

3DV 2013 - Real-time 3D Reconstruction in Dynamic Scenes using Point-based Fusion

CompGraphicsSiegen

1:03

Real Time Face feature recognition full library source code OpenCV

Jacky Le

0:24

CLNF multiple face tracking

Tadyla

5:49

An Anatomically-Constrained Local Model for Monocular Face Capture

DisneyResearchHub

5:46

JALI: An Animator-Centric Viseme Model for Expressive Lip Synchronization (from SIGGRAPH 2016)

Pif Edwards

4:55

SIGGRAPH 2016: Realtime 3D Eye Gaze Animation Using a Single RGB Camera

Jinxiang Chai

5:04

Lightweight Binocular Facial Performance Capture under Uncontrolled Lighting -SIGGRAPH Asia 2012

Christian Theobalt

5:05

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera - SIGGRAPH2017

Christian Theobalt

56:01

Generalizing Convolutions for Deep Learning

Microsoft Research

56:01

Generalizing Convolutions for Deep Learning

Microsoft Research

0:54

Asus/Kinect Fusion PCL demo on GPU

pointclouds

13:24

Practical 3.1 – CNN internals

Alfredo Canziani (冷在)

2:19

Videogame research - a plea for help

zoombapup

1:01:19

How to Write a Great Research Paper

Microsoft Research

8:31

BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Reintegration

Matthias Niessner

2:50

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

Two Minute Papers

3:54

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

Two Minute Papers

1:55:54

NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

Hao Du (Alex)

4:05

Deep Photo Style Transfer | Two Minute Papers #150

Two Minute Papers

3:18

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

Two Minute Papers

3:04

Stable Neural Style Transfer | Two Minute Papers #136

Two Minute Papers

4:19

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

Two Minute Papers

5:33

Deep Learning Program Hallucinates Videos | Two Minute Papers #120

Two Minute Papers

5:26

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

Christian Theobalt

4:14

MonoFusion

I3D Past Projects

2:15

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

Microsoft Research

1:16:35

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

Cyrill Stachniss

58:37

Keyframe-based SLAM for hand-held Augmented Reality

Microsoft Research

1:09:41

Real-Time Visual Localisation and Mapping with a Single Camera

Microsoft Research

2:33

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

Raúl Mur Artal

3:14

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

ActiveVision Oxford

1:59

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

Daniele De Gregorio

28:01

The Future of Art Production in Games

Game Developers Conference

4:51

Unsupervised Monocular Depth Estimation with Left-Right Consistency

prismUCL

12:44

Unsupervised Monocular Depth Estimation With Left-Right Consistency

ComputerVisionFoundation Videos

6:30

ElasticFusion: Dense SLAM Without A Pose Graph (Extras)

Dyson Robotics Laboratory at Imperial College

24:38

How Deep Neural Networks Work

Brandon Rohrer

0:07

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

Jun-Yan Zhu

33:58

Statistics 101: Two Populations, t-test with Hypothesis

Brandon Foltz

43:39

Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 2 of 4

Enthought

48:09

Believable Humans (In Video Game Animation)

Game Developers Conference

5:07

Test run 1 of pose tracking for video - Can you guess what it is?

zoombapup

4:36

Test run 2 of pose tracking for video - Can you guess what it is?

zoombapup

6:18

SIGGRAPH Asia 2018: Skills from Videos paper (main video)

Jason P.

1:00

Designing Groundless Body Channel Communication Systems: Performance and Implications

DisneyResearchHub

2:02

Anna Casasola Fontseca - 2012 Selections - Contemporary Variations

Prix de Lausanne

7:33

MaskRCNN with human pose detector - On anime!

zoombapup

4:23

JumpStyle HardJump Shuffle @ Berlin HardStyle Germany

Streetiz

48:48

CVPR18: Tutorial: Part 2: Human Activity Recognition

ComputerVisionFoundation Videos

10:57

Python Computer Vision OpenCV - Find Face Landmarks using DLIB

Rajeev Ratan

1:01

OpenCV CUDA Dense Optical Flow

Pablo Fernandez Alcantarilla

12:58

PyTorch Lecture 11: Advanced CNN

Sung Kim

4:42

DeepGlint CVPR2016

DeepGlint Official

6:45

iPhone X Facial Capture test PART 3 - FULL BODY

xanadu

6:40

Deformable tracking: Top model free tracking + landmark localisation results

Grigoris Chrysos

3:06

Human Mesh Recovery (HMR) Supplementary Video

Angjoo Kanazawa

2:34

Optimizing Video Object Detection via a Scale-Time Lattice

Kai Chen

46:34

ROB 2018 - Stefan Roth: Robust Scene Analysis

Andreas Geiger

2:18

Quick test of computer vision pose estimation on martial arts video

zoombapup

3:16

Learning human behaviours from motion capture by adversarial imitation

Josh Merel

4:11

Dynamic Transfer GAN

IVY & IVL Lab in KAIST

0:39

Using glow to interpolate latent space of faces

zoombapup

2:12:37

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

Gene Kogan

 LIVE

[Private video]

36:31

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

Finnish Center for Artificial Intelligence FCAI

3:31

Occupancy Networks: Learning 3D Reconstruction in Function Space

Andreas Geiger

5:48

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

Michael Black

8:56

Tello drone and computer vision: selfie air stick

geaxgx1

7:30

Unsupervised and Explainable Assessment of Video Similarity (BMVC 2019)

Antonis Argyros

5:34

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Egor Zakharov

3:22

AMASS Dataset of 3D Human Motions

Michael Black

1:31:08

Michael Black: Estimating Human Motion: Past, Present, and Future

Andreas Geiger

 LIVE

[Private video]

7:32

EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera - CVPR 2020 (Oral)

Christian Theobalt

6:18

A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras FI

6:56

Everybody Can Make Deepfakes Now!

Two Minute Papers

4:19

High Resolution Neural Face Swapping for Visual Effects

DisneyResearchHub

1:00:55

TUM AI Lecture Series - Perceiving Humans in the 3D World (Angjoo Kanazawa)

Matthias Niessner

4:37

Introduction to RIDE: Rapid Integration and Development Environment

USC ICT

4:15

SIGGRAPH 2020 | Learned Motion Matching

Ubisoft La Forge

7:34

[SIGGRAPH 2020] Local Motion Phases for Learning Multi-Contact Character Movements

Sebastian Starke

4:47

Lumitrack: Low Cost, High Precision, High Speed Motion Tracking

Robert Xiao

1:12:51

TUM AI Lecture Series - Making 3D Predictions with 2D Supervision (Justin Johnson)

Matthias Niessner

14:39

Training StyleGAN2 with Limited Data using image augmentation (Colab Notebook included)

Artificial Images

12:22

StyleGAN2 inspiration and techniques

Artificial Images

1:01:46

TUM AI Lecture Series - Shape Reps: Parametric Meshes vs Implicit Functions (Gerard Pons-Moll)

Matthias Niessner

4:19

Realtime Crowd Behavior Analysis and Prediction

GAMMA UMD

1:31

Imaginaire Library

Ting-Chun Wang

25:26

Are deepfakes breaking our grip on reality?| The Stream

Al Jazeera English

2:42

Turning 2D into depth images

UCL

4:20:00

Neural Rendering (CVPR 2020) - Morning Session

Neural Rendering

3:00:01

Neural Rendering (CVPR 2020) - Afternoon Session

Neural Rendering

1:03:18

Matthias Niessner - Why Neural Rendering is Super Cool!

Vision & Graphics Seminar at MIT

2:19

Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live!)

Hao Li

8:22

[SIGGRAPH 2020] Example-driven Virtual Cinematography by Learning Camera Behaviors

Jiang Hongda

4:20:00

Neural Rendering (CVPR 2020) - Morning Session

Neural Rendering

3:00:01

Neural Rendering (CVPR 2020) - Afternoon Session

Neural Rendering

1:03:18

Matthias Niessner - Why Neural Rendering is Super Cool!

Vision & Graphics Seminar at MIT

2:19

Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live!)

Hao Li

8:22

[SIGGRAPH 2020] Example-driven Virtual Cinematography by Learning Camera Behaviors

Jiang Hongda

46:31

Symmetry Detection and Symmetrization

Microsoft Research

5:12

Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

Matthias Niessner

9:08

Falcor and Abstraction

NVIDIA Game Developer

5:01

Combining Detection and Tracking for Human Pose Estimation in Videos

ComputerVisionFoundation Videos

1:02:01

TUM AI Lecture Series - Photorealistic Telepresence (Yaser Sheikh)

Matthias Niessner

11:17

The origins of Flow Based Programming with J Paul Morrison

Paul Morrison

37:25

Dataflow Programming

Papers We Love San Diego

12:25

!!Con 2018: Whoa, pictures! A visual history of visual programming languages! by Emily Nakashima

Confreaks

1:08:16

TUM AI Lecture Series - Learning Representations and Geometry from Unlabeled Videos (Andrea Vedaldi)

Matthias Niessner

26:10

Scene Graphs as a Symbolic Visual Representation

GeoAIR Lab

8:34

Enhancing Photorealism Enhancement

ISL and Collaborators

2:17

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

Matthias Niessner

Original source code / Modified source code Documentation
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