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09/02/2023
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
The task of shape abstraction with semantic part consistency is challeng...
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08/18/2023
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
Accurate 3D cardiac reconstruction from cine magnetic resonance imaging ...
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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...
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07/22/2023
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
Survival outcome assessment is challenging and inherently associated wit...
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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...
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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...
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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...
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03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
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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...
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11/22/2022
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Generalization to previously unseen images with potential domain shifts ...
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10/10/2022
Visual Prompt Tuning for Test-time Domain Adaptation
Models should have the ability to adapt to unseen data during test-time ...
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07/20/2022
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Despite the success of fully-supervised human skeleton sequence modeling...
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06/08/2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Neural architecture search (NAS) algorithms save tremendous labor from h...
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02/24/2022
Learning Transferable Reward for Query Object Localization with Policy Adaptation
We propose a reinforcement learning based approach to query object local...
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12/17/2021
Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction
Magnetic Resonance (MR) image reconstruction from highly undersampled k-...
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07/02/2021
Mixed Supervision Learning for Whole Slide Image Classification
Weak supervision learning on classification labels has demonstrated high...
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06/14/2021
Improved Transformer for High-Resolution GANs
Attention-based models, exemplified by the Transformer, can effectively ...
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06/14/2021
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Instance segmentation is of great importance for many biological applica...
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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 ...
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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...
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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...
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04/06/2021
Deep Animation Video Interpolation in the Wild
In the animation industry, cartoon videos are usually produced at low fr...
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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 ...
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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...
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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 ...
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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...
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04/01/2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Cross-modal knowledge distillation deals with transferring knowledge fro...
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01/09/2020
Vertebra-Focused Landmark Detection for Scoliosis Assessment
Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...
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11/20/2019
Object-Guided Instance Segmentation for Biological Images
Instance segmentation of biological images is essential for studying obj...
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10/06/2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
Graph kernels are kernel methods measuring graph similarity and serve as...
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09/27/2019
ASSD: Attentive Single Shot Multibox Detector
This paper proposes a new deep neural network for object detection. The ...
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08/13/2019
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation
The 3D morphology and quantitative assessment of knee articular cartilag...
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08/02/2019
Greedy AutoAugment
A major problem in data augmentation is the number of possibilities in t...
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07/22/2019
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
Most existing methods handle cell instance segmentation problems directl...
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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...
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07/16/2019
2nd Place Solution to the GQA Challenge 2019
We present a simple method that achieves unexpectedly superior performan...
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04/06/2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
In this paper, we study the problem of learning Graph Convolutional Netw...
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08/20/2018
CU-Net: Coupled U-Nets
We design a new connectivity pattern for the U-Net architecture. Given s...
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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...
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02/16/2018
Scenarios: A New Representation for Complex Scene Understanding
The ability for computational agents to reason about the high-level cont...
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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...
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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...
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11/08/2016
Multispectral Deep Neural Networks for Pedestrian Detection
Multispectral pedestrian detection is essential for around-the-clock app...
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09/09/2016
Track Facial Points in Unconstrained Videos
Tracking Facial Points in unconstrained videos is challenging due to the...
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08/19/2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
We propose a novel recurrent encoder-decoder network model for real-time...
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02/04/2016