b'Chi-Wing Fu'

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

We present Self-Ensembling Single-Stage object Detector (SE-SSD) for acc...
04/20/2021 ∙ by Wu Zheng, et al. ∙ 0 ∙ share

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One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

Point cloud semantic segmentation often requires largescale annotated tr...
04/06/2021 ∙ by Zhengzhe Liu, et al. ∙ 9 ∙ share

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3D-to-2D Distillation for Indoor Scene Parsing

Indoor scene semantic parsing from RGB images is very challenging due to...
04/06/2021 ∙ by Zhengzhe Liu, et al. ∙ 14 ∙ share

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Deep Colormap Extraction from Visualizations

This work presents a new approach based on deep learning to automaticall...
03/01/2021 ∙ by Lin-Ping Yuan, et al. ∙ 0 ∙ share

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CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Existing single-stage detectors for locating objects in point clouds oft...
12/05/2020 ∙ by Wu Zheng, et al. ∙ 0 ∙ share

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DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Deep convolutional neural networks have significantly boosted the perfor...
10/13/2020 ∙ by Shujun Wang, et al. ∙ 13 ∙ share

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Mononizing Binocular Videos

This paper presents the idea ofmono-nizingbinocular videos and a frame-w...
09/03/2020 ∙ by Wenbo Hu, et al. ∙ 0 ∙ share

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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

The generalization capability of neural networks across domains is cruci...
07/18/2020 ∙ by Shujun Wang, et al. ∙ 0 ∙ share

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DNF-Net: a Deep Normal Filtering Network for Mesh Denoising

This paper presents a deep normal filtering network, called DNF-Net, for...
06/28/2020 ∙ by Xianzhi Li, et al. ∙ 0 ∙ share

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PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Instance segmentation is an important task for scene understanding. Comp...
04/03/2020 ∙ by Li Jiang, et al. ∙ 5 ∙ share

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A Rotation-Invariant Framework for Deep Point Cloud Analysis

Recently, many deep neural networks were designed to process 3D point cl...
03/16/2020 ∙ by Xianzhi Li, et al. ∙ 15 ∙ share

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Non-Local Part-Aware Point Cloud Denoising

This paper presents a novel non-local part-aware deep neural network to ...
03/14/2020 ∙ by Chao Huang, et al. ∙ 5 ∙ share

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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

We present PointAugment, a new auto-augmentation framework that automati...
02/25/2020 ∙ by Ruihui Li, et al. ∙ 8 ∙ share

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GrabAR: Occlusion-aware Grabbing Virtual Objects in AR

Existing augmented reality (AR) applications often ignore occlusion betw...
12/23/2019 ∙ by Xiao Tang, et al. ∙ 0 ∙ share

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Instance Shadow Detection

Instance shadow detection is a brand new problem, aiming to find shadow ...
11/16/2019 ∙ by Tianyu Wang, et al. ∙ 35 ∙ share

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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Shadow detection in general photos is a nontrivial problem, due to the c...
11/16/2019 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
11/04/2019 ∙ by Xiaomeng Li, et al. ∙ 43 ∙ share

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Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

We achieve 3D semantic scene labeling by exploring semantic relation bet...
09/23/2019 ∙ by Li Jiang, et al. ∙ 0 ∙ share

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Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention

This paper presents a new approach to recognize elements in floor plan l...
08/29/2019 ∙ by Zhiliang Zeng, et al. ∙ 15 ∙ share

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LassoNet: Deep Lasso-Selection of 3D Point Clouds

Selection is a fundamental task in exploratory analysis and visualizatio...
07/31/2019 ∙ by Zhutian Chen, et al. ∙ 0 ∙ share

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PU-GAN: a Point Cloud Upsampling Adversarial Network

Point clouds acquired from range scans are often sparse, noisy, and non-...
07/25/2019 ∙ by Ruihui Li, et al. ∙ 0 ∙ share

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Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Training deep convolutional neural networks usually requires a large amo...
07/16/2019 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

Surgical tool presence detection and surgical phase recognition are two ...
07/13/2019 ∙ by Yueming Jin, et al. ∙ 2 ∙ share

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Revisiting Metric Learning for Few-Shot Image Classification

The goal of few-shot learning is to recognize new visual concepts with j...
07/06/2019 ∙ by Xiaomeng Li, et al. ∙ 2 ∙ share

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Difficulty-aware Meta-Learning for Rare Disease Diagnosis

Rare diseases have extremely low-data regimes, unlike common diseases wi...
06/30/2019 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
06/26/2019 ∙ by Shujun Wang, et al. ∙ 1 ∙ share

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Unsupervised Detection of Distinctive Regions on 3D Shapes

This paper presents a novel approach to learn and detect distinctive reg...
05/05/2019 ∙ by Xianzhi Li, et al. ∙ 12 ∙ share

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Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

This paper presents a new method for shadow removal using unpaired data,...
03/26/2019 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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SAC-Net: Spatial Attenuation Context for Salient Object Detection

This paper presents a new deep neural network design for salient object ...
03/25/2019 ∙ by Xiaowei Hu, et al. ∙ 18 ∙ share

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Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Deep convolutional neural networks have achieved remarkable progress on ...
02/28/2019 ∙ by Xiaomeng Li, et al. ∙ 14 ∙ share

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Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
02/20/2019 ∙ by Shujun Wang, et al. ∙ 12 ∙ share

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The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmen...
01/13/2019 ∙ by Patrick Bilic, et al. ∙ 8 ∙ share

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Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Automatic skin lesion segmentation on dermoscopic images is an essential...
08/12/2018 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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EC-Net: an Edge-aware Point set Consolidation Network

Point clouds obtained from 3D scans are typically sparse, irregular, and...
07/16/2018 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

Automatic lesion segmentation in dermoscopy images is an essential step ...
07/08/2018 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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Direction-aware Spatial Context Features for Shadow Detection and Removal

Shadow detection and shadow removal are fundamental and challenging task...
05/12/2018 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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PU-Net: Point Cloud Upsampling Network

Learning and analyzing 3D point cloud with deep networks is challenging ...
01/21/2018 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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Direction-aware Spatial Context Features for Shadow Detection

Shadow detection is a fundamental and challenging task, since it require...
12/12/2017 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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Towards High-quality Visualization of Superfluid Vortices

Superfluidity is a special state of matter exhibiting macroscopic quantu...
10/07/2017 ∙ by Yulong Guo, et al. ∙ 0 ∙ share

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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes

Liver cancer is one of the leading causes of cancer death. To assist doc...
09/21/2017 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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Chi-Wing Fu

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