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Found 7 papers, 1 papers with code
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion
(3) It can guide the design of a generalized computational algorithm for multi-dimensional visual perception.
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes.
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Single modality action recognition on RGB or depth sequences has been extensively explored recently.
PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures
In this work, we investigate the problem of automatically inferring the lattice structure of near-regular textures (NRT) in real-world images.
Towards Predicting the Likeability of Fashion Images
Given attributes as representations, we propose to learn a ranking SPN (sum product networks) to rank pairs of fashion images.
Multimodal Multipart Learning for Action Recognition in Depth Videos
We propose a joint sparse regression based learning method which utilizes the structured sparsity to model each action as a combination of multimodal features from a sparse set of body parts.
An Automated Estimator of Image Visual Realism Based on Human Cognition
In this paper we systematically evaluate factors underlying human perception of visual realism and use that information to create an automated assessment of visual realism.
