b'Wei Shen'

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...
03/05/2021 ∙ by Boxiang Yun, et al. ∙ 0 ∙ share

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Batch Normalization with Enhanced Linear Transformation

Batch normalization (BN) is a fundamental unit in modern deep networks, ...
11/28/2020 ∙ by Yuhui Xu, et al. ∙ 15 ∙ share

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Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...
10/29/2020 ∙ by Yingwei Li, et al. ∙ 9 ∙ share

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AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...
10/14/2020 ∙ by Yiren Chen, et al. ∙ 4 ∙ share

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Shape-Texture Debiased Neural Network Training

Shape and texture are two prominent and complementary cues for recognizi...
10/12/2020 ∙ by Yingwei Li, et al. ∙ 21 ∙ share

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CO2: Consistent Contrast for Unsupervised Visual Representation Learning

Contrastive learning has been adopted as a core method for unsupervised ...
10/05/2020 ∙ by Chen Wei, et al. ∙ 9 ∙ share

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Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

In mobile crowdsourcing (MCS), the platform selects participants to comp...
08/25/2020 ∙ by Wei Shen, et al. ∙ 20 ∙ share

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Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks

Surgical tool segmentation in endoscopic images is an important problem:...
07/09/2020 ∙ by Daniil Pakhomov, et al. ∙ 13 ∙ share

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Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

In this paper, we present a novel unsupervised domain adaptation (UDA) m...
05/18/2020 ∙ by Shuhao Fu, et al. ∙ 6 ∙ share

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Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors

This work presents comprehensive results to detect in the early stage th...
04/04/2020 ∙ by Zhuotun Zhu, et al. ∙ 10 ∙ share

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Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

The ability to detect failures and anomalies are fundamental requirement...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 6 ∙ share

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Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...
12/06/2019 ∙ by Yan Wang, et al. ∙ 17 ∙ share

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Shape-aware Feature Extraction for Instance Segmentation

Modern instance segmentation approaches mainly adopt a sequential paradi...
11/25/2019 ∙ by Hao Ding, et al. ∙ 0 ∙ share

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Rethinking Normalization and Elimination Singularity in Neural Networks

In this paper, we study normalization methods for neural networks from t...
11/21/2019 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion

Despite deep convolutional neural networks' great success in object clas...
09/09/2019 ∙ by Mingqing Xiao, et al. ∙ 13 ∙ share

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Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...
07/23/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks

Training convolutional neural networks for image classification tasks us...
06/30/2019 ∙ by Wei Shen, et al. ∙ 5 ∙ share

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Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning

In this paper we study the stability and its trade-off with optimization...
04/25/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Weight Standardization

In this paper, we propose Weight Standardization (WS) to accelerate deep...
03/25/2019 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Learning from Adversarial Features for Few-Shot Classification

Many recent few-shot learning methods concentrate on designing novel mod...
03/25/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Learning to generate filters for convolutional neural networks

Conventionally, convolutional neural networks (CNNs) process different i...
12/05/2018 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Robust Face Detection via Learning Small Faces on Hard Images

Recent anchor-based deep face detectors have achieved promising performa...
11/28/2018 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance

Softmax activation is commonly used to output the probability distributi...
11/27/2018 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Generating Attention from Classifier Activations for Fine-grained Recognition

Recent advances in fine-grained recognition utilize attention maps to lo...
11/27/2018 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD), using only image-level annota...
07/09/2018 ∙ by Peng Tang, et al. ∙ 0 ∙ share

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Spatial Transformer Introspective Neural Network

Natural images contain many variations such as illumination differences,...
05/16/2018 ∙ by Yunhan Zhao, et al. ∙ 0 ∙ share

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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Accurate and robust segmentation of abdominal organs on CT is essential ...
04/23/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Deep convolutional neural networks (CNNs), especially fully convolutiona...
04/07/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Semi-supervised multi-organ segmentation via multi-planar co-training

Multi-organ segmentation is a critical problem in medical image analysis...
04/07/2018 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Deep Co-Training for Semi-Supervised Image Recognition

In this paper, we study the problem of semi-supervised image recognition...
03/15/2018 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Hi-Fi: Hierarchical Feature Integration for Skeleton Detection

In natural images, skeleton scales (thickness) may significantly vary am...
01/05/2018 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Deep Regression Forests for Age Estimation

Age estimation from facial images is typically cast as a nonlinear regre...
12/19/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Crack detection in beam structures with a novel Laplace based Wavelet Finite Element method

Beam structure is one of the most widely used structures in mechanical e...
12/18/2017 ∙ by Shuaifang Zhang, et al. ∙ 0 ∙ share

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Wave analysis in one dimensional structures with a wavelet finite element model and precise integration method

Numerical simulation of ultrasonic wave propagation provides an efficien...
12/05/2017 ∙ by Shuaifang Zhang, et al. ∙ 0 ∙ share

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Single-Shot Object Detection with Enriched Semantics

We propose a novel single shot object detection network named Detection ...
12/01/2017 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation

In this paper, we adopt 3D CNNs to segment the pancreas in CT images. Al...
12/01/2017 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

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Gradually Updated Neural Networks for Large-Scale Image Recognition

We present a simple yet effective neural network architecture for image ...
11/25/2017 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Few-Shot Image Recognition by Predicting Parameters from Activations

In this paper, we are interested in the few-shot learning problem. In pa...
06/12/2017 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

In the field of connectomics, neuroscientists seek to identify cortical ...
03/24/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Deep neural networks have been widely adopted for automatic organ segmen...
12/25/2016 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Learning Residual Images for Face Attribute Manipulation

Face attributes are interesting due to their detailed description of hum...
12/16/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Object skeletons are useful for object representation and object detecti...
09/13/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Shape Recognition by Bag of Skeleton-associated Contour Parts

Contour and skeleton are two complementary representations for shape rec...
05/20/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Multi-Oriented Text Detection with Fully Convolutional Networks

In this paper, we propose a novel approach for text detec- tion in natur...
04/14/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs

Object skeleton is a useful cue for object detection, complementary to t...
03/31/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Wei Shen

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