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09/20/2023
Towards Robust Few-shot Point Cloud Semantic Segmentation
Few-shot point cloud semantic segmentation aims to train a model to quic...
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09/20/2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Existing fully-supervised point cloud segmentation methods suffer in the...
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08/14/2023
Refining 6-DoF Grasps with Context-Specific Classifiers
In this work, we present GraspFlow, a refinement approach for generating...
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08/01/2023
On the Performance Tradeoff of an ISAC System with Finite Blocklength
Integrated sensing and communication (ISAC) has been proposed as a promi...
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12/18/2022
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Domain shift widely exists in the visual world, while modern deep neural...
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12/09/2022
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds
Semantic segmentation in 3D indoor scenes has achieved remarkable perfor...
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09/26/2022
Myopia prediction for adolescents via time-aware deep learning
Background: Quantitative prediction of the adolescents' spherical equiva...
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07/19/2022
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
Since Intersection-over-Union (IoU) based optimization maintains the con...
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04/06/2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
In this paper, we study the task of synthetic-to-real domain generalized...
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12/14/2021
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Deep learning-based approaches have shown remarkable performance in the ...
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11/01/2021
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
Due to a large amount of information, it is difficult for users to find ...
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06/22/2020
Few-shot 3D Point Cloud Semantic Segmentation
Many existing approaches for point cloud semantic segmentation are stron...
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01/06/2020
Scalable Estimation and Inference with Large-scale or Online Survival Data
With the rapid development of data collection and aggregation technologi...
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12/26/2019
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
The performance of existing point cloud-based 3D object detection method...
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09/03/2019
MRI Reconstruction Using Deep Bayesian Inference
Purpose: To develop a deep learning-based Bayesian inference for MRI rec...
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08/27/2019
Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
Heart disease is one of the most common diseases causing morbidity and m...
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08/15/2019