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07/25/2023
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
The emergence of artificial emotional intelligence technology is revolut...
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05/22/2023
Learning Emotion Representations from Verbal and Nonverbal Communication
Emotion understanding is an essential but highly challenging component o...
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04/05/2023
Bodily expressed emotion understanding through integrating Laban movement analysis
Body movements carry important information about a person's emotions or ...
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03/02/2023
Learning to Adapt to Online Streams with Distribution Shifts
Test-time adaptation (TTA) is a technique used to reduce distribution ga...
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06/30/2022
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Accurate infarct segmentation in non-contrast CT (NCCT) images is a cruc...
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06/15/2022
HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence
As social robots and other intelligent machines enter the home, artifici...
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05/06/2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Crowd Counting has important applications in public safety and pandemic ...
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03/17/2022
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning
Detecting and evaluating surface coating defects is important for marine...
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02/18/2022
A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries?
European artists have sought to create life-like images since the Renais...
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02/10/2022
Using Navigational Information to Learn Visual Representations
Children learn to build a visual representation of the world from unsupe...
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01/13/2022
S^2FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking
Most conventional crowd counting methods utilize a fully-supervised lear...
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09/24/2021
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
In an emergency room (ER) setting, the diagnosis of stroke is a common c...
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04/04/2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing
As algorithmic decision-making systems are becoming more pervasive, it i...
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11/10/2018
CAPTAIN: Comprehensive Composition Assistance for Photo Taking
Many people are interested in taking astonishing photos and sharing with...
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11/07/2018
PaDNet: Pan-Density Crowd Counting
Crowd counting in varying density scenes is a challenging problem in art...
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08/28/2018
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild
Humans are arguably innately prepared to possess the ability to comprehe...
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04/08/2018
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression
Facial aging and facial rejuvenation analyze a given face photograph to ...
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02/25/2018
Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion
Meteorologists use shapes and movements of clouds in satellite images as...
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02/01/2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Model pruning has become a useful technique that improves the computatio...
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01/04/2017
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
We proposed a probabilistic approach to joint modeling of participants' ...
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08/15/2016
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
Linear perspective is widely used in landscape photography to create the...
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05/31/2016
Modeling Photographic Composition via Triangles
The capacity of automatically modeling photographic composition is valua...
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03/01/2016
Storm Detection by Visual Learning Using Satellite Images
Computers are widely utilized in today's weather forecasting as a powerf...
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09/30/2015
