Yan Wang

Metric Classification Network in Actual Face Recognition Scene

In order to make facial features more discriminative, some new models ha...
10/25/2019 ∙ by Jian Li, et al. ∙ 26 ∙ share

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Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Detecting objects such as cars and pedestrians in 3D plays an indispensa...
06/14/2019 ∙ by Yurong You, et al. ∙ 20 ∙ share

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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

In the domain of autonomous driving, deep learning has substantially imp...
05/17/2020 ∙ by Yan Wang, et al. ∙ 19 ∙ 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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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

3D object detection is an essential task in autonomous driving. Recent t...
12/18/2018 ∙ by Yan Wang, et al. ∙ 16 ∙ share

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Cross-dataset Training for Class Increasing Object Detection

We present a conceptually simple, flexible and general framework for cro...
01/14/2020 ∙ by Yongqiang Yao, et al. ∙ 16 ∙ share

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Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process

Complex and skillful motions in actual assembly process are challenging ...
10/04/2019 ∙ by Yan Wang, et al. ∙ 13 ∙ share

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An Automatic Interaction Detection Hybrid Model for Bankcard Response Classification

In this paper, we propose a hybrid bankcard response model, which integr...
01/02/2019 ∙ by Yan Wang, et al. ∙ 12 ∙ share

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

Object segmentation in three-dimensional (3-D) point clouds is a critica...
10/30/2019 ∙ by Brian H. Wang, et al. ∙ 11 ∙ share

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Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

Trauma is the worldwide leading cause of death and disability in those y...
06/23/2019 ∙ by Yuyin Zhou, et al. ∙ 9 ∙ share

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A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization

This paper aims to explore models based on the extreme gradient boosting...
01/24/2019 ∙ by Yan Wang, et al. ∙ 8 ∙ share

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Semi-Supervised Adversarial Monocular Depth Estimation

In this paper, we address the problem of monocular depth estimation when...
08/06/2019 ∙ by Rongrong Ji, et al. ∙ 8 ∙ share

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HRank: Filter Pruning using High-Rank Feature Map

Neural network pruning offers a promising prospect to facilitate deployi...
02/24/2020 ∙ by Mingbao Lin, et al. ∙ 7 ∙ share

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An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

Underwater images play a key role in ocean exploration, but often suffer...
07/07/2019 ∙ by Yan Wang, et al. ∙ 6 ∙ share

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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Reliable and accurate 3D object detection is a necessity for safe autono...
04/07/2020 ∙ by Rui Qian, et al. ∙ 6 ∙ 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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Anytime Stereo Image Depth Estimation on Mobile Devices

Many real-world applications of stereo depth estimation in robotics requ...
10/26/2018 ∙ by Yan Wang, et al. ∙ 4 ∙ share

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Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...
09/13/2017 ∙ by Qihang Yu, et al. ∙ 0 ∙ share

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Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model

Pedestrian attribute inference is a demanding problem in visual surveill...
07/19/2017 ∙ by M. Saquib Sarfraz, 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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SORT: Second-Order Response Transform for Visual Recognition

In this paper, we reveal the importance and benefits of introducing seco...
03/20/2017 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Deep Collaborative Learning for Visual Recognition

Deep neural networks are playing an important role in state-of-the-art v...
03/03/2017 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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EmotioNet Challenge: Recognition of facial expressions of emotion in the wild

This paper details the methodology and results of the EmotioNet challeng...
03/03/2017 ∙ by C. Fabian Benitez-Quiroz, 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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A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image

Three-dimensional shape reconstruction of 2D landmark points on a single...
09/28/2016 ∙ by Ruiqi Zhao, 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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A Powerful Generative Model Using Random Weights for the Deep Image Representation

To what extent is the success of deep visualization due to the training?...
06/15/2016 ∙ by Kun He, 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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Learning to Rank Binary Codes

Binary codes have been widely used in vision problems as a compact featu...
10/21/2014 ∙ by Jie Feng, et al. ∙ 0 ∙ share

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Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects

Robotic manipulation of deformable objects is a difficult problem especi...
07/15/2016 ∙ by Yinxiao Li, 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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Web-Scale Responsive Visual Search at Bing

In this paper, we introduce a web-scale general visual search system dep...
02/14/2018 ∙ by Houdong Hu, et al. ∙ 0 ∙ share

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Understanding the connections between species distribution models

Models for accurately predicting species distributions have become essen...
01/04/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Convolution is spatially-symmetric, i.e., the visual features are indepe...
04/03/2018 ∙ 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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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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Automatic Article Commenting: the Task and Dataset

Comments of online articles provide extended views and improve user enga...
05/09/2018 ∙ by Lianhui Qin, et al. ∙ 0 ∙ share

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Resource Aware Person Re-identification across Multiple Resolutions

Not all people are equally easy to identify: color statistics might be e...
05/22/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Spectral Network Embedding: A Fast and Scalable Method via Sparsity

Network embedding aims to learn low-dimensional representations of nodes...
06/07/2018 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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A Fast Divide-and-Conquer Sparse Cox Regression

We propose a computationally and statistically efficient divide-and-conq...
04/02/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

For dialogue response generation, traditional generative models generate...
09/14/2018 ∙ by Deng Cai, et al. ∙ 0 ∙ share

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Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking

We present a data association method for vision-based multiple pedestria...
10/19/2018 ∙ by Brian H. Wang, et al. ∙ 0 ∙ share

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Translating a Math Word Problem to an Expression Tree

Sequence-to-sequence (SEQ2SEQ) models have been successfully applied to ...
11/14/2018 ∙ by Lei Wang, 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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A two-stage hybrid model by using artificial neural networks as feature construction algorithms

We propose a two-stage hybrid approach with neural networks as the new f...
12/06/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Modeling default rate in P2P lending via LSTM

With the fast development of peer to peer (P2P) lending, financial insti...
02/13/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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A Dynamic Model Identification Package for the da Vinci Research Kit

The da Vinci Research Kit (dVRK) is a teleoperated surgical robotic syst...
02/28/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms

We aim at developing and improving the imbalanced business risk modeling...
03/13/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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The parameters of a family of linear codes

A large family of linear codes with flexible parameters from almost bent...
03/09/2019 ∙ by Weiqiong Wang, et al. ∙ 0 ∙ share

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Yan Wang

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