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09/18/2023
MindAgent: Emergent Gaming Interaction
Large Language Models (LLMs) have the capacity of performing complex sch...
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04/11/2023
Semi-Supervised Relational Contrastive Learning
Disease diagnosis from medical images via supervised learning is usually...
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04/09/2023
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes
Understanding the continuous states of objects is essential for task lea...
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02/18/2023
mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals
Robotic manipulation of deformable materials is a challenging task that ...
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01/05/2023
Deep Learning of Force Manifolds from the Simulated Physics of Robotic Paper Folding
Robotic manipulation of slender objects is challenging, especially when ...
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12/05/2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis
Pandemic(epidemic) modeling, aiming at disease spreading analysis, has a...
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03/29/2022
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI
Prostate cancer is the second leading cause of cancer death among men in...
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03/28/2022
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging
The retinal vasculature provides important clues in the diagnosis and mo...
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11/12/2021
Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos
The transfer of facial expressions from people to 3D face models is a cl...
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10/25/2021
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data
Deep learning-based models, when trained in a fully-supervised manner, c...
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03/18/2021
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation
Despite the tremendous success of deep neural networks in medical image ...
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10/28/2020
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
Semi-supervised learning via learning from limited quantities of labeled...
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07/22/2020
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
The automated segmentation of buildings in remote sensing imagery is a c...
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05/28/2020
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Scoliosis is a congenital disease that causes lateral curvature in the s...
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05/08/2020
Progressive Adversarial Semantic Segmentation
Medical image computing has advanced rapidly with the advent of deep lea...
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05/05/2020
Partly Supervised Multitask Learning
Semi-supervised learning has recently been attracting attention as an al...
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04/15/2020
Analysis of Scoliosis From Spinal X-Ray Images
Scoliosis is a congenital disease in which the spine is deformed from it...
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02/11/2020
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
Textures and edges contribute different information to image recognition...
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01/15/2020
Image Segmentation Using Deep Learning: A Survey
Image segmentation is a key topic in image processing and computer visio...
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09/29/2019
End-to-End Deep Convolutional Active Contours for Image Segmentation
The Active Contour Model (ACM) is a standard image analysis technique wh...
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08/21/2019
Boundary Aware Networks for Medical Image Segmentation
Fully convolutional neural networks (CNNs) have proven to be effective a...
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08/19/2019
Deep Active Lesion Segmentation
Lesion segmentation is an important problem in computer-assisted diagnos...
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08/10/2019
Semi-Supervised Multi-Task Learning With Chest X-Ray Images
Especially in the medical imaging domain when large labeled datasets are...
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06/14/2019
Multi-Adversarial Variational Autoencoder Networks
The unsupervised training of GANs and VAEs has enabled them to generate ...
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05/28/2019
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
The reliable segmentation of retinal vasculature can provide the means t...
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02/18/2019
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network
Reliable and automatic segmentation of lung lobes is important for diagn...
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01/25/2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
We investigate the effectiveness of a simple solution to the common prob...
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10/14/2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Doodling is a useful and common intelligent skill that people can learn ...
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09/27/2018
Fast and Scalable Position-Based Layout Synthesis
The arrangement of objects into a layout can be challenging for non-expe...
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02/07/2018
Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation (MiG paper)
Exploiting the efficiency and stability of Position-Based Dynamics (PBD)...
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05/24/2017
Attention-based Natural Language Person Retrieval
Following the recent progress in image classification and captioning usi...
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04/01/2017
