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Computer Vision – ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
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Author(s):
Colin Lea
,
René Vidal
,
Austin Reiter
,
Gregory D. Hager
Publication date
(Online):
November 24 2016
Publisher:
Springer International Publishing
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A Review of Human Activity Recognition Methods
Michalis Vrigkas
,
Christophoros Nikou
,
Ioannis A Kakadiaris
(2015)
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Understanding egocentric activities
Ali Farhadi
,
Alireza Fathi
,
James Rehg
(2011)
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A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
Tim K. Marks
,
Bharat Singh
,
Ming An Shao
…
(2016)
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Book Chapter
Publication date (Print):
2016
Publication date (Online):
November 24 2016
Pages
: 47-54
DOI:
10.1007/978-3-319-49409-8_7
SO-VID:
fe068508-2de7-47b5-8eed-b9fcb9b202d8
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Book chapters
pp. 11
Human Action Recognition Without Human
pp. 18
Motion Representation with Acceleration Images
pp. 25
Segmentation Free Object Discovery in Video
pp. 32
Human Pose Estimation in Space and Time Using 3D CNN
pp. 40
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern
pp. 47
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
pp. 55
Making a Case for Learning Motion Representations with Phase
pp. 67
gvnn: Neural Network Library for Geometric Computer Vision
pp. 83
On-Line Large Scale Semantic Fusion
pp. 100
Learning Covariant Feature Detectors
pp. 118
Scene Segmentation Driven by Deep Learning and Surface Fitting
pp. 143
A CNN Cascade for Landmark Guided Semantic Part Segmentation
pp. 156
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
pp. 186
Deep Kinematic Pose Regression
pp. 202
How Useful Is Photo-Realistic Rendering for Visual Learning?
pp. 251
Deep Shape from a Low Number of Silhouettes
pp. 280
Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry
pp. 296
Monocular Surface Reconstruction Using 3D Deformable Part Models
pp. 311
Deep Bimodal Regression for Apparent Personality Analysis
pp. 325
SASE: RGB-Depth Database for Human Head Pose Estimation
pp. 337
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features
pp. 359
Deep Learning for Facial Action Unit Detection Under Large Head Poses
pp. 386
The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction
pp. 400
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results
pp. 419
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
pp. 467
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers
pp. 492
VLAD Is not Necessary for CNN
pp. 524
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
pp. 595
Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification
pp. 606
On Evaluation of 6D Object Pose Estimation
pp. 620
Reconstructing Articulated Rigged Models from RGB-D Videos
pp. 665
Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing
pp. 685
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better
pp. 724
Evaluating Local Features for Day-Night Matching
pp. 747
Learning Local Convolutional Features for Face Recognition with 2D-Warping
pp. 789
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency
pp. 821
3D Point Cloud Video Segmentation Based on Interaction Analysis
pp. 836
Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence
pp. 852
Clockwork Convnets for Video Semantic Segmentation
pp. 871
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video
pp. 901
Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data
pp. 909
UnrealCV: Connecting Computer Vision to Unreal Engine
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