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07/28/2023
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation
Pulmonary nodules and masses are crucial imaging features in lung cancer...
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05/15/2023
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation
Semantic segmentation has recently witnessed great progress. Despite the...
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02/25/2022
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
Segmentation of curvilinear structures is important in many applications...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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09/26/2020
Affinity Space Adaptation for Semantic Segmentation Across Domains
Semantic segmentation with dense pixel-wise annotation has achieved exce...
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07/22/2020
Learning Directional Feature Maps for Cardiac MRI Segmentation
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
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05/30/2020
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
Image segmentation is a fundamental vision task and a crucial step for m...
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03/14/2020
Efficient Backbone Search for Scene Text Recognition
Scene text recognition (STR) is very challenging due to the diversity of...
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12/20/2019
AutoScale: Learning to Scale for Crowd Counting
Crowd counting in images is a widely explored but challenging task. Thou...
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11/21/2019
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Recently, end-to-end text spotting that aims to detect and recognize tex...
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11/21/2019
Gliding vertex on the horizontal bounding box for multi-oriented object detection
Object detection has recently experienced substantial progress. Yet, the...
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07/29/2019
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting
Dense crowd counting aims to predict thousands of human instances from a...
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07/29/2019
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Dense crowd counting aims to predict thousands of human instances from a...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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12/04/2018
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
Scene text detection is an important step of scene text reading system. ...
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11/30/2018
DeepFlux for Skeletons in the Wild
Computing object skeletons in natural images is challenging, owing to la...
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07/30/2018
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Person re-identification (re-ID) is a highly challenging task due to lar...
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11/29/2017
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
Recently, many methods of person re-identification (Re-ID) rely on part-...
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03/15/2016
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection
Hierarchies, such as the tree of shapes, are popular representations for...
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04/20/2012