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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...
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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...
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Mononizing Binocular Videos
This paper presents the idea ofmono-nizingbinocular videos and a frame-w...
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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
The generalization capability of neural networks across domains is cruci...
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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...
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PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Instance segmentation is an important task for scene understanding. Comp...
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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...
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Non-Local Part-Aware Point Cloud Denoising
This paper presents a novel non-local part-aware deep neural network to ...
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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
We present PointAugment, a new auto-augmentation framework that automati...
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GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
Existing augmented reality (AR) applications often ignore occlusion betw...
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Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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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...
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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...
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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...
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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...
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LassoNet: Deep Lasso-Selection of 3D Point Clouds
Selection is a fundamental task in exploratory analysis and visualizatio...
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PU-GAN: a Point Cloud Upsampling Adversarial Network
Point clouds acquired from range scans are often sparse, noisy, and non-...
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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...
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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 ...
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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...
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Difficulty-aware Meta-Learning for Rare Disease Diagnosis
Rare diseases have extremely low-data regimes, unlike common diseases wi...
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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...
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Unsupervised Detection of Distinctive Regions on 3D Shapes
This paper presents a novel approach to learn and detect distinctive reg...
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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,...
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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 ...
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Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Deep convolutional neural networks have achieved remarkable progress on ...
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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...
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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...
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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...
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EC-Net: an Edge-aware Point set Consolidation Network
Point clouds obtained from 3D scans are typically sparse, irregular, and...
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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 ...
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Direction-aware Spatial Context Features for Shadow Detection and Removal
Shadow detection and shadow removal are fundamental and challenging task...
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PU-Net: Point Cloud Upsampling Network
Learning and analyzing 3D point cloud with deep networks is challenging ...
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Direction-aware Spatial Context Features for Shadow Detection
Shadow detection is a fundamental and challenging task, since it require...
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Towards High-quality Visualization of Superfluid Vortices
Superfluidity is a special state of matter exhibiting macroscopic quantu...
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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...
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