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08/31/2023
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
While the Segment Anything Model (SAM) excels in semantic segmentation f...
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08/29/2023
Optron: Better Medical Image Registration via Training in the Loop
Previously, in the field of medical image registration, there are primar...
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07/28/2023
Improving Social Media Popularity Prediction with Multiple Post Dependencies
Social Media Popularity Prediction has drawn a lot of attention because ...
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04/07/2023
T2Ranking: A large-scale Chinese Benchmark for Passage Ranking
Passage ranking involves two stages: passage retrieval and passage re-ra...
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08/17/2022
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
With the growth of information on the Web, most users heavily rely on in...
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08/11/2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly impr...
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06/07/2022
MIRNF: Medical Image Registration via Neural Fields
Image registration is widely used in medical image analysis to provide s...
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04/25/2022
Evaluating Extrapolation Performance of Dense Retrieval
A retrieval model should not only interpolate the training data but also...
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03/16/2022
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow
Deep Implicit Functions (DIFs) represent 3D geometry with continuous sig...
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11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
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10/14/2021
Web Search via an Efficient and Effective Brain-Machine Interface
While search technologies have evolved to be robust and ubiquitous, the ...
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09/22/2021
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search
Web search heavily relies on click-through behavior as an essential feed...
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08/03/2021
Understanding Human Reading Comprehension with Brain Signals
Reading comprehension is a complex cognitive process involving many huma...
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08/02/2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
Although having achieved great success in medical image segmentation, de...
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05/16/2021
Undistillable: Making A Nasty Teacher That CANNOT teach students
Knowledge Distillation (KD) is a widely used technique to transfer knowl...
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03/25/2021
Test-Time Training for Deformable Multi-Scale Image Registration
Registration is a fundamental task in medical robotics and is often a cr...
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01/08/2021
Good Students Play Big Lottery Better
Lottery ticket hypothesis suggests that a dense neural network contains ...
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12/16/2020
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Multi-organ segmentation is one of most successful applications of deep ...
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12/06/2020
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
Estimating 3D hand poses from a single RGB image is challenging because ...
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12/06/2020
Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
Estimating 3D hand pose directly from RGB imagesis challenging but has g...
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12/06/2020
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
Estimating3D hand poses from RGB images is essentialto a wide range of p...
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09/25/2020
SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation
Graph Neural Networks (GNNs) generalize neural networks from application...
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02/05/2020
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation
In this paper, we propose a new architecture named Rotation-invariant Mi...
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01/24/2020
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
Hand pose estimation is more challenging than body pose estimation due t...
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01/13/2020
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
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10/16/2019
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
The ABCD Neurocognitive Prediction Challenge is a community driven compe...
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09/25/2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large...
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09/18/2019
Adaptive Graphical Model Network for 2D Handpose Estimation
In this paper, we propose a new architecture called Adaptive Graphical M...
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07/25/2019
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Pulmonary nodule detection, false positive reduction and segmentation re...
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06/18/2019
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking
Echocardiography has become routinely used in the diagnosis of cardiomyo...
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03/23/2019
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction
Pulmonary nodule detection using low-dose Computed Tomography (CT) is of...
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03/23/2019
Automatic Pulmonary Lobe Segmentation Using Deep Learning
Pulmonary lobe segmentation is an important task for pulmonary disease r...
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03/23/2019
Automated pulmonary nodule detection using 3D deep convolutional neural networks
Early detection of pulmonary nodules in computed tomography (CT) images ...
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12/25/2018
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
Motivation: With the development of droplet based systems, massive singl...
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11/29/2018
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
Current state-of-the-art nonparametric Bayesian text clustering methods ...
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11/25/2018
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation
Hand pose estimation from a monocular RGB image is an important but chal...
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08/15/2018
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Radiation therapy (RT) is a common treatment for head and neck (HaN) can...
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08/15/2018
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Methods: Our deep learning model, called AnatomyNet, segments OARs from ...
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06/03/2018
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline
Video relevance prediction is one of the most important tasks for online...
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05/14/2018
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
Recently deep learning has been witnessing widespread adoption in variou...
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05/08/2018
Constructing an Interaction Behavior Model for Web Image Search
User interaction behavior is a valuable source of implicit relevance fee...
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02/03/2018
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
In this work, we present a deep learning framework for multi-class breas...
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01/25/2018
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
In this work, we present a fully automated lung computed tomography (CT)...
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01/24/2018
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering
Visual question answering (VQA) is of significant interest due to its po...
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11/27/2017
Why People Search for Images using Web Search Engines
What are the intents or goals behind human interactions with image searc...
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10/24/2017
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Mass segmentation provides effective morphological features which are im...
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09/16/2017
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification
In this work, we present a fully automated lung CT cancer diagnosis syst...
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05/23/2017
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Mammogram classification is directly related to computer-aided diagnosis...
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12/18/2016
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Mass segmentation is an important task in mammogram analysis, providing ...
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03/24/2016
