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Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part II
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
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Author(s):
Taeoh Kim
,
Hyeongmin Lee
,
MyeongAh Cho
,
Ho Seong Lee
,
Dong Heon Cho
,
Sangyoun Lee
Publication date
(Online):
January 03 2021
Publisher:
Springer International Publishing
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Learning Deep Features for Discriminative Localization
Aditya Khosla
,
Antonio S. Torralba
,
Aude Oliva
…
(2016)
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Non-local Neural Networks
Xiaolong Wang
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Ross Girshick
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Abhinav Gupta
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(2018)
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Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
,
Lubomir Bourdev
,
Rob Fergus
…
(2015)
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Author and book information
Contributors
Taeoh Kim:
(View ORCID Profile)
Hyeongmin Lee:
(View ORCID Profile)
MyeongAh Cho:
(View ORCID Profile)
Sangyoun Lee:
(View ORCID Profile)
Book Chapter
Publication date (Print):
2020
Publication date (Online):
January 03 2021
Pages
: 386-403
DOI:
10.1007/978-3-030-66096-3_27
SO-VID:
38abae76-8996-4e8a-9fff-343f35eb9bc8
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Book chapters
pp. 3
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
pp. 27
Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations
pp. 33
C4AV: Learning Cross-Modal Representations from Transformers
pp. 39
Cosine Meets Softmax: A Tough-to-beat Baseline for Visual Grounding
pp. 51
Attention Enhanced Single Stage Multimodal Reasoner
pp. 62
AttnGrounder: Talking to Cars with Attention
pp. 77
Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950–1995
pp. 92
A Dataset and Baselines for Visual Question Answering on Art
pp. 109
Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors
pp. 126
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
pp. 143
Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial
pp. 159
Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting
pp. 179
SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop
pp. 186
Automatic Segmentation of Sign Language into Subtitle-Units
pp. 199
Phonologically-Meaningful Subunits for Deep Learning-Based Sign Language Recognition
pp. 249
Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos
pp. 264
A Plan for Developing an Auslan Communication Technologies Pipeline
pp. 278
A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia Among British Sign Language Users
pp. 294
Score-Level Multi Cue Fusion for Sign Language Recognition
pp. 310
Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach
pp. 322
Improving Keyword Search Performance in Sign Language with Hand Shape Features
pp. 337
Lightweight Action Recognition in Compressed Videos
pp. 353
On Sparse Connectivity, Adversarial Robustness, and a Novel Model of the Artificial Neuron
pp. 369
Injecting Prior Knowledge into Image Caption Generation
pp. 386
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
pp. 404
Unsupervised Learning of Video Representations via Dense Trajectory Clustering
pp. 422
Distilling Visual Priors from Self-Supervised Learning
pp. 430
Unsupervised Image Classification for Deep Representation Learning
pp. 464
What Leads to Generalization of Object Proposals?
pp. 479
A Self-supervised Framework for Human Instance Segmentation
pp. 496
Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering
pp. 511
A Visual Inductive Priors Framework for Data-Efficient Image Classification
pp. 523
Predicting Camera Viewpoint Improves Cross-Dataset Generalization for 3D Human Pose Estimation
pp. 541
Beyond Weak Perspective for Monocular 3D Human Pose Estimation
pp. 557
Geographically Local Representation Learning with a Spatial Prior for Visual Localization
pp. 577
BOP Challenge 2020 on 6D Object Localization
pp. 595
StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing
pp. 631
Semi-supervised Viewpoint Estimation with Geometry-Aware Conditional Generation
pp. 648
Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects
pp. 663
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
pp. 682
How to Track Your Dragon: A Multi-attentional Framework for Real-Time RGB-D 6-DOF Object Pose Tracking
pp. 700
A Hybrid Approach for 6DoF Pose Estimation
pp. 707
Leaping from 2D Detection to Efficient 6DoF Object Pose Estimation
pp. 717
Implicit Feature Networks for Texture Completion from Partial 3D Data
pp. 726
3DBooSTeR: 3D Body Shape and Texture Recovery
pp. 741
SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results
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