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10/05/2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Active learning promises to improve annotation efficiency by iteratively...
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01/04/2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
The spleen is one of the most commonly injured solid organs in blunt abd...
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11/26/2021
In-painting Radiography Images for Unsupervised Anomaly Detection
We propose space-aware memory queues for in-painting and detecting anoma...
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09/25/2021
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels
The success of deep learning relies heavily on large datasets with exten...
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06/17/2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...
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05/31/2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...
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03/09/2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...
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03/08/2021
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations
Human body is a complex dynamic system composed of various sub-dynamic p...
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11/30/2020
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
We propose an unsupervised vision-based system to estimate the joint con...
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10/29/2020
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...
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04/04/2020
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
This work presents comprehensive results to detect in the early stage th...
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03/28/2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...
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03/18/2020
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
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12/20/2019
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
3D convolution neural networks (CNN) have been proved very successful in...
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12/09/2019
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Scene context is a powerful constraint on the geometry of objects within...
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12/06/2019
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Tubular structure segmentation in medical images, e.g., segmenting vesse...
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06/02/2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer
Convolutional neural networks have recently advanced the state of the ar...
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05/20/2019
Patch-based 3D Human Pose Refinement
State-of-the-art 3D human pose estimation approaches typically estimate ...
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04/02/2019
Thickened 2D Networks for 3D Medical Image Segmentation
There has been a debate in medical image segmentation on whether to use ...
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04/01/2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
This paper focuses on learning transferable adversarial examples specifi...
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12/03/2018
Towards Accurate Task Accomplishment with Low-Cost Robotic Arms
Training a robotic arm to accomplish real-world tasks has been attractin...
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12/03/2018
Elastic Boundary Projection for 3D Medical Imaging Segmentation
We focus on an important yet challenging problem: using a 2D deep networ...
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12/02/2018
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Learning visual features from unlabeled image data is an important yet c...
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12/01/2018
Snapshot Distillation: Teacher-Student Optimization in One Generation
Optimizing a deep neural network is a fundamental task in computer visio...
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11/29/2018
Progressive Recurrent Learning for Visual Recognition
Computer vision is difficult, partly because the mathematical function c...
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11/28/2018
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
Integrating multi-phase information is an effective way of boosting visu...
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10/23/2018
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
We introduce PreCo, a large-scale English dataset for coreference resolu...
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07/09/2018
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
This paper proposes an intuitive approach to finding pancreatic ductal a...
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05/10/2018
Deep Nets: What have they ever done for Vision?
This is an opinion paper about the strengths and weaknesses of Deep Nets...
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04/27/2018
Joint Shape Representation and Classification for Detecting PDAC
We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...
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04/23/2018
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Accurate and robust segmentation of abdominal organs on CT is essential ...
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04/07/2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Deep convolutional neural networks (CNNs), especially fully convolutiona...
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04/07/2018
Semi-supervised multi-organ segmentation via multi-planar co-training
Multi-organ segmentation is a critical problem in medical image analysis...
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04/03/2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Convolution is spatially-symmetric, i.e., the visual features are indepe...
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04/02/2018
Bridging the Gap Between 2D and 3D Organ Segmentation
There has been a debate on whether to use 2D or 3D deep neural networks ...
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01/25/2018
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction
State-of-the-art Convolutional Neural Network (CNN) benefits a lot from ...
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12/01/2017
Single-Shot Object Detection with Enriched Semantics
We propose a novel single shot object detection network named Detection ...
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12/01/2017
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...
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11/20/2017
Adversarial Attacks Beyond the Image Space
Generating adversarial examples is an intriguing problem and an importan...
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09/14/2017
DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion
In this paper, we study the task of detecting semantic parts of an objec...
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09/13/2017
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...
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06/22/2017
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Automatic segmentation of an organ and its cystic region is a prerequisi...
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02/24/2017
Multi-Context Attention for Human Pose Estimation
In this paper, we propose to incorporate convolutional neural networks w...
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02/22/2017
Regularizing Face Verification Nets For Pain Intensity Regression
Limited labeled data are available for the research of estimating facial...
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02/08/2017
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
We propose a method to generate multiple diverse and valid human pose hy...
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12/25/2016
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Deep neural networks have been widely adopted for automatic organ segmen...
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11/20/2016
Object Recognition with and without Objects
While recent deep neural networks have achieved a promising performance ...
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09/12/2016
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
This paper addresses the problem of face recognition when there is only ...
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06/02/2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
In this work we address the task of semantic image segmentation with Dee...
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11/10/2015