Hao Chen

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

Instance segmentation is one of the fundamental vision tasks. Recently, ...
01/02/2020 ∙ by Hao Chen, et al. ∙ 29 ∙ share

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Explaining Neural Networks Semantically and Quantitatively

This paper presents a method to explain the knowledge encoded in a convo...
12/18/2018 ∙ by Runjin Chen, et al. ∙ 24 ∙ share

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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection

Omnidirectional scene text detection has received increasing research at...
12/20/2019 ∙ by Yuliang Liu, et al. ∙ 24 ∙ share

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Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI

Human brain development is rapid during infancy and early childhood. Man...
10/27/2019 ∙ by Mahdieh Shabanian, et al. ∙ 23 ∙ share

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Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet

Ensemble learning is a general technique to improve accuracy in machine ...
07/01/2020 ∙ by Hao Chen, et al. ∙ 19 ∙ share

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Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System

This paper presents a novel method to improve the conversational interac...
05/05/2019 ∙ by Minjie Hua, et al. ∙ 18 ∙ share

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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Scene text detection and recognition has received increasing research at...
02/24/2020 ∙ by Yuliang Liu, et al. ∙ 17 ∙ share

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FCOS: A simple and strong anchor-free object detector

In computer vision, object detection is one of most important tasks, whi...
06/14/2020 ∙ by Zhi Tian, et al. ∙ 17 ∙ share

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Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...
06/07/2020 ∙ by Yue Xu, et al. ∙ 16 ∙ 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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Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning

Several imaging applications (vessels, retina, plant roots, road network...
12/05/2019 ∙ by Hao Chen, et al. ∙ 13 ∙ share

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Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automa...
06/06/2020 ∙ by Luyang Luo, et al. ∙ 13 ∙ share

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Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

Automated design of architectures tailored for a specific task at hand i...
10/25/2018 ∙ by Vladimir Nekrasov, et al. ∙ 12 ∙ share

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CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse

The goal of this work is to present a systematic solution for RGB-D sali...
09/20/2019 ∙ by Hao Chen, et al. ∙ 11 ∙ share

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...
02/22/2020 ∙ by Cheng Chen, et al. ∙ 10 ∙ share

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Automatic detection and counting of retina cell nuclei using deep learning

The ability to automatically detect, classify, calculate the size, numbe...
02/10/2020 ∙ by S. M. Hadi Hosseini, et al. ∙ 9 ∙ share

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Deep convolutional networks have demonstrated the state-of-the-art perfo...
12/19/2018 ∙ by Qi Dou, et al. ∙ 8 ∙ 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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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

This paper presents a novel unsupervised domain adaptation framework, ca...
01/24/2019 ∙ by Cheng Chen, et al. ∙ 8 ∙ share

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CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs

Fully Homomorphic Encryption (FHE) refers to a set of encryption schemes...
10/01/2018 ∙ by Roshan Dathathri, et al. ∙ 8 ∙ share

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Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention

Graph classification is practically important in many domains. To solve ...
07/10/2019 ∙ by Hao Chen, et al. ∙ 8 ∙ share

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Conditional Convolutions for Instance Segmentation

We propose a simple yet effective instance segmentation framework, terme...
03/12/2020 ∙ by Zhi Tian, et al. ∙ 7 ∙ share

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IR-NAS: Neural Architecture Search for Image Restoration

Recently, neural architecture search (NAS) methods have attracted much a...
09/18/2019 ∙ by Haokui Zhang, et al. ∙ 6 ∙ share

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Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games

In Markov games, playing against non-stationary opponents with learning ...
05/26/2020 ∙ by Hao Chen, et al. ∙ 6 ∙ share

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3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

Objective: Segmentation of colorectal cancerous regions from the Magneti...
06/27/2018 ∙ by Yi-Jie Huang, et al. ∙ 4 ∙ share

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DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing

Semantically interpreting the traffic scene is crucial for autonomous tr...
09/17/2019 ∙ by Kailun Yang, et al. ∙ 3 ∙ 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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Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

Recent advances in deep learning greatly boost the performance of object...
08/14/2019 ∙ by Hao Yang, et al. ∙ 2 ∙ 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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Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning

In this paper, we propose a novel framework with 3D convolutional networ...
08/13/2017 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Automatic and accurate whole-heart and great vessel segmentation from 3D...
08/02/2017 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images

Lymph node metastasis is one of the most significant diagnostic indicato...
07/30/2017 ∙ by Huangjing Lin, et al. ∙ 0 ∙ share

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RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning

In this work, we propose to utilize Convolutional Neural Networks to boo...
03/01/2017 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

Automatic detection of pulmonary nodules in thoracic computed tomography...
12/23/2016 ∙ by Arnaud Arindra Adiyoso Setio, et al. ∙ 0 ∙ share

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VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation

Recently deep residual learning with residual units for training very de...
08/21/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

Accurate detection and segmentation of anatomical structures from ultras...
07/07/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Automatic liver segmentation from CT volumes is a crucial prerequisite y...
07/03/2016 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

The morphology of glands has been used routinely by pathologists to asse...
04/10/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Colorectal adenocarcinoma originating in intestinal glandular structures...
03/01/2016 ∙ by Korsuk Sirinukunwattana, et al. ∙ 0 ∙ share

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1-HKUST: Object Detection in ILSVRC 2014

The Imagenet Large Scale Visual Recognition Challenge (ILSVRC) is the on...
09/22/2014 ∙ by Cewu Lu, et al. ∙ 0 ∙ share

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Optimizing relinearization in circuits for homomorphic encryption

Fully homomorphic encryption (FHE) allows an untrusted party to evaluate...
10/25/2017 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Graph-Based Two-Sample Tests for Discrete Data

In the regime of two-sample comparison, tests based on a graph construct...
11/12/2017 ∙ by Jingru Zhang, et al. ∙ 0 ∙ share

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SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction

Cell nuclei detection and fine-grained classification have been fundamen...
12/22/2017 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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Geo-referencing Place from Everyday Natural Language Descriptions

Natural language place descriptions in everyday communication provide a ...
10/09/2017 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Practical Issues of Action-conditioned Next Image Prediction

The problem of action-conditioned image prediction is to predict the exp...
02/08/2018 ∙ by Donglai Zhu, et al. ∙ 0 ∙ share

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Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks

Deep neural networks are vulnerable to adversarial examples. Prior defen...
01/09/2018 ∙ by Yongshuai Liu, et al. ∙ 0 ∙ share

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LSTD: A Low-Shot Transfer Detector for Object Detection

Recent advances in object detection are mainly driven by deep learning w...
03/05/2018 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Angora: Efficient Fuzzing by Principled Search

Fuzzing is a popular technique for finding software bugs. However, the p...
03/04/2018 ∙ by Peng Chen, et al. ∙ 0 ∙ share

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SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Vision-based vehicle detection approaches achieve incredible success in ...
04/02/2018 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Convolutional networks (ConvNets) have achieved great successes in vario...
04/29/2018 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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Hao Chen

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