Paper-Conference

Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
Every hand-object interaction begins with contact. Despite predicting the contact state between hands and objects is useful in …
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Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human underlying attentional patterns. The selective attention …
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Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips
First-person action recognition is a challenging task in video understanding. Because of strong ego-motion and a limited field of view, …
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Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips
Unsupervised Common Particular Object Discovery and Localization by Analyzing a Match Graph
Although the unsupervised discovery and localization of common objects from within a set of images has received considerable attention, …
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Unsupervised Common Particular Object Discovery and Localization by Analyzing a Match Graph
GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, …
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GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
Toward Visually Explaining Video Understanding Networks by Perturbation
‘‘Making black box models explainable’’ is a vital problem that accompanies the development of deep learning …
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Toward Visually Explaining Video Understanding Networks by Perturbation
Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception
Recent advances in machine learning demonstrated its potential in accessibility applications. However, recognition models and their …
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Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception
Learning-based Region Selection for End-to-End Gaze Estimation
Traditionally, appearance-based gaze estimation methods use statically defined face regions as input to the gaze estimator, such as eye …
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Learning-based Region Selection for End-to-End Gaze Estimation
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
Although the performance of hand segmentation in egocentric videos has been significantly improved by using CNNs, it still remains a …
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Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
Improving Action Segmentation via Graph Based Temporal Reasoning
Temporal relations among multiple action segments play an important role in action segmentation especially when observations are …
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Improving Action Segmentation via Graph Based Temporal Reasoning