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A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields

Computer Vision – ACCV 2016, p.19-34

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FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture

Computer Vision – ACCV 2016, p.213-228

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Analysis on the Dropout Effect in Convolutional Neural Networks

Computer Vision – ACCV 2016, p.189-204

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Lip Reading in the Wild

Computer Vision – ACCV 2016, p.87-103

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R-CNN for Small Object Detection

Computer Vision – ACCV 2016, p.214-230

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Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

Computer Vision – ACCV 2016, p.180-196

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Learning to Extract Motion from Videos in Convolutional Neural Networks

Computer Vision – ACCV 2016, p.412-428

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Anticipating Accidents in Dashcam Videos

Computer Vision – ACCV 2016, p.136-153

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Video Summarization Using Deep Semantic Features

Computer Vision – ACCV 2016, p.361-377

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Modeling Stylized Character Expressions via Deep Learning

Computer Vision – ACCV 2016, p.136-153

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Usability Testing of a Mobile Application for Alleviating Postpartum Emotional Disorders: A Case of We’ll

Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications, p.23-40

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Deep Supervised Hashing with Triplet Labels

Computer Vision – ACCV 2016, p.70-84

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End-to-End Training of Object Class Detectors for Mean Average Precision

Computer Vision – ACCV 2016, p.198-213

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Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues

Computer Vision – ACCV 2016, p.338-351

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Gait Energy Response Function for Clothing-Invariant Gait Recognition

Computer Vision – ACCV 2016, p.257-272

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Long-Term Activity Forecasting Using First-Person Vision

Computer Vision – ACCV 2016, p.346-360

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A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval

Computer Vision – ACCV 2016, p.321-337

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Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network

Computer Vision – ACCV 2016, p.360-376

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Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation

Computer Vision – ACCV 2016, 2017, p.171-186

2017

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Learning to Describe E-Commerce Images from Noisy Online Data

Computer Vision – ACCV 2016, p.85-100

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Photometric Bundle Adjustment for Vision-Based SLAM

Computer Vision – ACCV 2016, p.324-341

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Point-Cut: Interactive Image Segmentation Using Point Supervision

Computer Vision – ACCV 2016, p.229-244

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Fast Fashion Guided Clothing Image Retrieval: Delving Deeper into What Feature Makes Fashion

Computer Vision – ACCV 2016, p.134-149

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PicMarker: Data-Driven Image Categorization Based on Iterative Clustering

Computer Vision – ACCV 2016, p.172-187

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Towards Situated AMR: Creating a Corpus of Gesture AMR

Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design, p.293-312

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A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields

FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture

Analysis on the Dropout Effect in Convolutional Neural Networks

Lip Reading in the Wild

R-CNN for Small Object Detection

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

Learning to Extract Motion from Videos in Convolutional Neural Networks

Anticipating Accidents in Dashcam Videos

Video Summarization Using Deep Semantic Features

Modeling Stylized Character Expressions via Deep Learning

Usability Testing of a Mobile Application for Alleviating Postpartum Emotional Disorders: A Case of We’ll

Deep Supervised Hashing with Triplet Labels

End-to-End Training of Object Class Detectors for Mean Average Precision

Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues

Gait Energy Response Function for Clothing-Invariant Gait Recognition

Long-Term Activity Forecasting Using First-Person Vision

A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval

Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network

Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation

Learning to Describe E-Commerce Images from Noisy Online Data

Photometric Bundle Adjustment for Vision-Based SLAM

Point-Cut: Interactive Image Segmentation Using Point Supervision

Fast Fashion Guided Clothing Image Retrieval: Delving Deeper into What Feature Makes Fashion

PicMarker: Data-Driven Image Categorization Based on Iterative Clustering

Towards Situated AMR: Creating a Corpus of Gesture AMR

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