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01/28/2023
Towards Accurate Acne Detection via Decoupled Sequential Detection Head
Accurate acne detection plays a crucial role in acquiring precise diagno...
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08/23/2022
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Long-term vertebral fractures severely affect the life quality of patien...
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08/23/2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Computed tomography (CT) samples with pathological annotations are diffi...
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07/08/2022
Learning High-quality Proposals for Acne Detection
Acne detection is crucial for interpretative diagnosis and precise treat...
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04/06/2022
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Procedural Multimodal Documents (PMDs) organize textual instructions and...
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12/23/2021
A Synthetic Prediction Market for Estimating Confidence in Published Work
Explainably estimating confidence in published scholarly work offers opp...
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08/16/2021
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
In this paper, we focus on recognizing 3D shapes from arbitrary views, i...
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07/14/2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
Locating diseases in chest X-ray images with few careful annotations sav...
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04/19/2021
Entropy-based Optimization via A* Algorithm for Parking Space Recommendation
This paper addresses the path planning problems for recommending parking...
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04/08/2021
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
In recent years, significant effort has been invested verifying the repr...
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03/05/2021
Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which e...
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11/18/2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
In this paper we propose a rotation-invariant deep network for point clo...
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08/27/2019
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
View-based approach that recognizes 3D shape through its projected 2D im...
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11/14/2018
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators
Inference efficiency is the predominant consideration in designing deep ...
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05/17/2018