• Stars
    star
    160
  • Rank 233,337 (Top 5 %)
  • Language
  • License
    Creative Commons ...
  • Created about 4 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A curated list of egocentric (first-person) vision and related area resources

Awesome Egocentric Vision Awesome

A curated list of egocentric vision resources.

Egocentric (first-person) vision is a sub-field of computer vision that analyses image/video data obtained using a wearable camera simulating a person's visual field.

Contents

Papers

Clustered in various problem statements.

Action/Activity Recognition

Object/Hand Recognition

Action/Gaze Anticipation

Localization

Clustering

Video Summarization

Social Interactions

Pose Estimation

Human Object Interaction

Temporal Boundary Detection

Privacy in Egocentric Videos

Multiple Egocentric Tasks

  • Egocentric Video-Language Pretraining - Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rongcheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu and Mike Zheng Shou. In NeurIPS 2022. [project page] [code]

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video - Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C.V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, and Jitendra Malik. In CVPR 2022. [Github] [project page] [video]

Task Understanding

Miscellaneous (New Tasks)

Clustered according to the conferences.

CVPR

ECCV

ICCV

WACV

BMVC

Datasets

  • EgoProceL - 62 hours of egocentric videos recorded by 130 subjects performing 16 tasks for procedure learning.
  • EgoBody - Large-scale dataset capturing ground-truth 3D human motions during social interactions in 3D scenes.
  • UnrealEgo - Large-scale naturalistic dataset for egocentric 3D human pose estimation.
  • Hand-object Segments - Hand-object interactions in 11,235 frames from 1,000 videos covering daily activities in diverse scenarios.
  • Ego4D - 3,025 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 855 unique camera wearers from 74 worldwide locations and 9 different countries.
  • HOI4D - HOI4D consists of 2.4M RGB-D egocentric video frames over 4000 sequences collected by 9 participants interacting with 800 different object instances from 16 categories over 610 different indoor rooms.
  • EgoCom - A natural conversations dataset containing multi-modal human communication data captured simultaneously from the participants' egocentric perspectives.
  • TREK-100 - Object tracking in first person vision.
  • MECCANO - 20 subject assembling a toy motorbike.
  • EPIC-Kitchens 2020 - Subjects performing unscripted actions in their native environments.
  • EPIC-Tent - 29 participants assembling a tent while wearing two head-mounted cameras. [paper]
  • EGO-CH - 70 subjects visiting two cultural sites in Sicily, Italy.
  • EPIC-Kitchens 2018 - 32 subjects performing unscripted actions in their native environments.
  • Charade-Ego - Paired first-third person videos.
  • EGTEA Gaze+ - 32 subjects, 86 cooking sessions, 28 hours.
  • ADL - 20 subjects performing daily activities in their native environments.
  • CMU kitchen - Multimodal, 18 subjects cooking 5 different recipes: brownies, eggs, pizza, salad, sandwich.
  • EgoSeg - Long term actions (walking, running, driving, etc.)
  • First-Person Social Interactions - 8 subjects at disneyworld.
  • UEC Dataset - Two choreographed datasets with different egoactions (walk, jump, climb, etc.) + 6 YouTube sports videos.
  • JPL - Interaction with a robot.
  • FPPA - Five subjects performing 5 daily actions.
  • UT Egocentric - 3-5 hours long videos capturing a person's day.
  • VINST/ Visual Diaries - 31 videos capturing the visual experience of a subject walking from metro station to work.
  • Bristol Egocentric Object Interaction (BEOID) - 8 subjects, six locations. Interaction with objects and environment.
  • Object Search Dataset - 57 sequences of 55 subjects on search and retrieval tasks.
  • UNICT-VEDI - Different subjects visiting a museum.
  • UNICT-VEDI-POI - Different subjects visiting a museum.
  • Simulated Egocentric Navigations - Simulated navigations of a virtual agent within a large building.
  • EgoCart - Egocentric images collected by a shopping cart in a retail store.
  • Unsupervised Segmentation of Daily Living Activities - Egocentric videos of daily activities.
  • Visual Market Basket Analysis - Egocentric images collected by a shopping cart in a retail store.
  • Location Based Segmentation of Egocentric Videos - Egocentric videos of daily activities.
  • Recognition of Personal Locations from Egocentric Videos - Egocentric videos clips of daily.
  • EgoGesture - 2k videos from 50 subjects performing 83 gestures.
  • EgoHands - 48 videos of interactions between two people.
  • DoMSEV - 80 hours/different activities.
  • DR(eye)VE - 74 videos of people driving.
  • THU-READ - 8 subjects performing 40 actions with a head-mounted RGBD camera.
  • EgoDexter - 4 sequences with 4 actors (2 female), and varying interactions with various objects and and cluttered background. [paper]
  • First-Person Hand Action (FPHA) - 3D hand-object interaction. Includes 1175 videos belonging to 45 different activity categories performed by 6 actors. [paper]
  • UTokyo Paired Ego-Video (PEV) - 1,226 pairs of first-person clips extracted from the ones recorded synchronously during dyadic conversations.
  • UTokyo Ego-Surf - Contains 8 diverse groups of first-person videos recorded synchronously during face-to-face conversations.
  • TEgO: Teachable Egocentric Objects Dataset - Contains egocentric images of 19 distinct objects taken by two people for training a teachable object recognizer.
  • Multimodal Focused Interaction Dataset - Contains 377 minutes of continuous multimodal recording captured during 19 sessions, with 17 conversational partners in 18 different indoor/outdoor locations.

Contribute

This is a work in progress. Contributions welcome! Read the contribution guidelines first.

More Repositories

1

Smile-Detector

Using deep learning to detect smiles from a live video feed.
Python
40
star
2

Word-recognition-EmbedNet-CAB

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
Python
21
star
3

Word-recognition-and-retrieval

Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"
Python
14
star
4

EgoProceL-egocentric-procedure-learning

Code implementation for our ECCV, 2022 paper titled "My View is the Best View: Procedure Learning from Egocentric Videos"
Python
13
star
5

Object-Detection-MobileNet

Demonstration of Object Detection using MobileNets
Python
12
star
6

Self_Driving_Car

A demonstration of Reinforcement Learning applied to a car.
Python
6
star
7

Beer-Label-Classification

Code for beer label classification using SIFT and ORB
Jupyter Notebook
4
star
8

pyimage-Learning

This repository contains codes made during learning from Pyimage's Deep learning bundle
Python
4
star
9

3D

Pipeline for point cloud to 3D object creation.
Python
3
star
10

Blog_Sid

Series of blogs by Siddhant
Ruby
2
star
11

Father-Son-height

Problem of prediction of son's height based on fathers's height, solved using Liner Regression Algorithm.
Jupyter Notebook
2
star
12

cart-pole

Python code for watching a ANN play cart-pole
Jupyter Notebook
2
star
13

Fill_missing

Code for Point Cloud Generation
Python
2
star
14

Sid2697.github.io

Personal Website for Siddhant Bansal
CSS
2
star
15

Diabetes_Research

Neural Networks for predicting diabetes from Fingerprints.
Jupyter Notebook
2
star
16

Handwritten-Digit-Recognition

Trying to train a Neural Network from scratch without using any NN library for recognising handwritten digits using MNIST dataset.
Jupyter Notebook
2
star
17

Sid2697

Description for the GitHub account
1
star
18

Dataset_Processors

This repository contains the code for downloading and pre-processing various datasets.
Python
1
star
19

CtCI

Solutions to Cracking the Coding Interview
Python
1
star
20

Code-Chef

In this repository I'll share the codes that I have made to solve Code Chef problems
Python
1
star
21

Python-to-access-web-data

In this repository I'll share the Programs made while learning from Python to access Web Data using Python offered by University of Michigan on Coursera.
Python
1
star
22

Logistic-Regression

This repository contains codes made during learning about Logistic Regression.
Jupyter Notebook
1
star
23

Anime-Classificaton

Classify the anime to answer various questions.
Jupyter Notebook
1
star
24

MIT-6.00.1x

This repository contains codes for Problem statements posted in course MIT 6.00.1x on edX offered by MIT.
Python
1
star
25

simplest-neural-network

Here is the code for making a Neural Network in 9 lines of code.
Python
1
star
26

Learning-PyTorch

This repository contains codes made during learning PyTorch
Python
1
star
27

Neural-Networks

This repository contains codes made during learning about Neural Networks.
Jupyter Notebook
1
star
28

MIT-6.00.2x

This repository contains codes of Problem statements posted in course MIT 6.00.2x on edX offered by MIT
Python
1
star
29

Applied-Data-Science

In this repository I'll share the Jupyter Notebooks made while learning from Applied Data Science using Python offered by University of Michigan on Coursera.
Jupyter Notebook
1
star
30

Image-Processing

In this repository I'll share the codes that I have made while learning Image Processing Techniques
Python
1
star