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06/08/2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
Visual Prompt Tuning (VPT) is an effective tuning method for adapting pr...
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06/02/2023
Probabilistic Concept Bottleneck Models
Interpretable models are designed to make decisions in a human-interpret...
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04/11/2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Obtaining accurate pixel-level localization from class labels is a cruci...
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04/01/2022
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization
Weakly supervised object localization aims to find a target object regio...
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03/08/2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly supervised semantic segmentation (WSSS) methods are often built o...
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12/02/2021
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
The computer-aided diagnosis of focal liver lesions (FLLs) can help impr...
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03/19/2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Automated diagnosis using deep neural networks in chest radiography can ...
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03/16/2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Weakly supervised semantic segmentation produces a pixel-level localizat...
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10/27/2020
Interpretation of NLP models through input marginalization
To demystify the "black box" property of deep neural networks for natura...
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09/23/2020
Information-Theoretic Visual Explanation for Black-Box Classifiers
In this work, we attempt to explain the prediction of any black-box clas...
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06/30/2020
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis
With the advancement of self-driving technology, the commercialization o...
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02/21/2020
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests
Despite the approaching commercialization of robo-taxis, various anxiety...
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08/13/2019
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
When a deep neural network is trained on data with only image-level labe...
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02/27/2019