Dimitris N. Metaxas

research

∙ 09/02/2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency

The task of shape abstraction with semantic part consistency is challeng...

0 Di Liu, et al. ∙

research

∙ 08/18/2023

DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Accurate 3D cardiac reconstruction from cine magnetic resonance imaging ...

0 Xiaoxiao He, et al. ∙

research

∙ 08/09/2023

Classification of lung cancer subtypes on CT images with synthetic pathological priors

The accurate diagnosis on pathological subtypes for lung cancer is of si...

0 Wentao Zhu, et al. ∙

research

∙ 07/22/2023

Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction

Survival outcome assessment is challenging and inherently associated wit...

0 Kexin Ding, et al. ∙

research

∙ 06/04/2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning

A major enduring focus of clinical workflows is disease analytics and di...

0 Yunhe Gao, et al. ∙

research

∙ 04/29/2023

A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans

Tooth segmentation from intraoral scans is a crucial part of digital den...

0 Ananya Jana, et al. ∙

research

∙ 03/27/2023

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

Contrastive learning-based vision-language pre-training approaches, such...

0 Yuxiao Chen, et al. ∙

research

∙ 03/16/2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning

Prototype, as a representation of class embeddings, has been explored to...

2 Zhuowei Li, et al. ∙

research

∙ 01/25/2023

3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation

Manual tooth segmentation of 3D tooth meshes is tedious and there is var...

0 Ananya Jana, et al. ∙

research

∙ 11/22/2022

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

Generalization to previously unseen images with potential domain shifts ...

0 Ran Gu, et al. ∙

research

∙ 10/10/2022

Visual Prompt Tuning for Test-time Domain Adaptation

Models should have the ability to adapt to unseen data during test-time ...

8 Yunhe Gao, et al. ∙

research

∙ 07/20/2022

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Despite the success of fully-supervised human skeleton sequence modeling...

0 Yuxiao Chen, et al. ∙

research

∙ 06/08/2022

Towards Self-supervised and Weight-preserving Neural Architecture Search

Neural architecture search (NAS) algorithms save tremendous labor from h...

16 Zhuowei Li, et al. ∙

research

∙ 02/24/2022

Learning Transferable Reward for Query Object Localization with Policy Adaptation

We propose a reinforcement learning based approach to query object local...

2 Tingfeng Li, et al. ∙

research

∙ 12/17/2021

Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction

Magnetic Resonance (MR) image reconstruction from highly undersampled k-...

23 Bingyu Xin, et al. ∙

research

∙ 07/02/2021

Mixed Supervision Learning for Whole Slide Image Classification

Weak supervision learning on classification labels has demonstrated high...

2 Jiahui Li, et al. ∙

research

∙ 06/14/2021

Improved Transformer for High-Resolution GANs

Attention-based models, exemplified by the Transformer, can effectively ...

18 Long Zhao, et al. ∙

research

∙ 06/14/2021

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images

Instance segmentation is of great importance for many biological applica...

10 Jingru Yi, et al. ∙

research

∙ 05/20/2021

More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints

Attention mechanisms have been widely applied to cross-modal tasks such ...

21 Yuxiao Chen, et al. ∙

research

∙ 04/30/2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Image and video synthesis are closely related areas aiming at generating...

4 Yu Tian, et al. ∙

research

∙ 04/12/2021

SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching

Automatic and accurate lung nodule detection from 3D Computed Tomography...

8 Xiangde Luo, et al. ∙

research

∙ 04/06/2021

Deep Animation Video Interpolation in the Wild

In the animation industry, cartoon videos are usually produced at low fr...

6 Li Siyao, et al. ∙

research

∙ 04/05/2021

FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Radiotherapy is a treatment where radiation is used to eliminate cancer ...

34 Yunhe Gao, et al. ∙

research

∙ 02/11/2021

Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation

Memory-efficient continuous Sign Language Translation is a significant c...

16 Harris Partaourides, et al. ∙

research

∙ 08/19/2020

Learning Trailer Moments in Full-Length Movies

A movie's key moments stand out of the screenplay to grab an audience's ...

7 Lezi Wang, et al. ∙

research

∙ 07/10/2020

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Nuclei segmentation is a fundamental task in histopathology image analys...

12 Hui Qu, et al. ∙

research

∙ 04/01/2020

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

Cross-modal knowledge distillation deals with transferring knowledge fro...

1 Long Zhao, et al. ∙

research

∙ 01/09/2020

Vertebra-Focused Landmark Detection for Scoliosis Assessment

Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...

46 Jingru Yi, et al. ∙

research

∙ 11/20/2019

Object-Guided Instance Segmentation for Biological Images

Instance segmentation of biological images is essential for studying obj...

21 Jingru Yi, et al. ∙

research

∙ 10/06/2019

Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...

7 Yu Tian, et al. ∙

research

∙ 09/27/2019

ASSD: Attentive Single Shot Multibox Detector

This paper proposes a new deep neural network for object detection. The ...

12 Jingru Yi, et al. ∙

research

∙ 08/13/2019

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

The 3D morphology and quantitative assessment of knee articular cartilag...

3 Chaowei Tan, et al. ∙

research

∙ 08/02/2019

Greedy AutoAugment

A major problem in data augmentation is the number of possibilities in t...

3 Alireza Naghizadeh, et al. ∙

research

∙ 07/22/2019

Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

Most existing methods handle cell instance segmentation problems directl...

0 Jingru Yi, et al. ∙

research

∙ 07/20/2019

Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention

We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) met...

1 Yuxiao Chen, et al. ∙

research

∙ 07/16/2019

2nd Place Solution to the GQA Challenge 2019

We present a simple method that achieves unexpectedly superior performan...

1 Shijie Geng, et al. ∙

research

∙ 04/06/2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression

In this paper, we study the problem of learning Graph Convolutional Netw...

6 Long Zhao, et al. ∙

research

∙ 08/20/2018

CU-Net: Coupled U-Nets

We design a new connectivity pattern for the U-Net architecture. Given s...

0 Zhiqiang Tang, et al. ∙

research

∙ 06/28/2018

CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...

0 Yu Tian, et al. ∙

research

∙ 02/16/2018

Scenarios: A New Representation for Complex Scene Understanding

The ability for computational agents to reason about the high-level cont...

0 Zachary A. Daniels, et al. ∙

research

∙ 01/17/2018

RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment

We propose a novel method for real-time face alignment in videos based o...

0 Xi Peng, et al. ∙

research

∙ 03/01/2017

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization

Iterative Hard Thresholding (IHT) is a class of projected gradient desce...

0 Bo Liu, et al. ∙

research

∙ 11/08/2016

Multispectral Deep Neural Networks for Pedestrian Detection

Multispectral pedestrian detection is essential for around-the-clock app...

0 Jingjing Liu, et al. ∙

research

∙ 09/09/2016

Track Facial Points in Unconstrained Videos

Tracking Facial Points in unconstrained videos is challenging due to the...

0 Xi Peng, et al. ∙

research

∙ 08/19/2016

A Recurrent Encoder-Decoder Network for Sequential Face Alignment

We propose a novel recurrent encoder-decoder network model for real-time...

0 Xi Peng, et al. ∙

research

∙ 02/04/2016

Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...

0 Shu Wang, et al. ∙

Dimitris N. Metaxas

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