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11/01/2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
To promote better performance-bandwidth trade-off for multi-agent percep...
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06/14/2021
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Instance segmentation is of great importance for many biological applica...
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03/13/2021
Learning with Feature-Dependent Label Noise: A Progressive Approach
Label noise is frequently observed in real-world large-scale datasets. T...
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12/09/2020
A Topological Filter for Learning with Label Noise
Noisy labels can impair the performance of deep neural networks. To tack...
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11/19/2020
Error-Bounded Correction of Noisy Labels
To collect large scale annotated data, it is inevitable to introduce lab...
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08/19/2020
Enhanced MRI Reconstruction Network using Neural Architecture Search
The accurate reconstruction of under-sampled magnetic resonance imaging ...
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08/18/2020
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
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08/17/2020
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Oriented object detection in aerial images is a challenging task as the ...
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07/10/2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Nuclei segmentation is a fundamental task in histopathology image analys...
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03/15/2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
The ability to reliably perceive the environmental states, particularly ...
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01/09/2020
Vertebra-Focused Landmark Detection for Scoliosis Assessment
Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...
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11/25/2019
Point Cloud Processing via Recurrent Set Encoding
We present a new permutation-invariant network for 3D point cloud proces...
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11/20/2019
Object-Guided Instance Segmentation for Biological Images
Instance segmentation of biological images is essential for studying obj...
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09/27/2019
ASSD: Attentive Single Shot Multibox Detector
This paper proposes a new deep neural network for object detection. The ...
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07/22/2019
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
Most existing methods handle cell instance segmentation problems directl...
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10/18/2018
