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08/27/2023
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
In this paper, we propose a bi-modality medical image synthesis approach...
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08/14/2023
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats...
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07/24/2023
FoodWise: Food Waste Reduction and Behavior Change on Campus with Data Visualization and Gamification
Food waste presents a substantial challenge with significant environment...
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07/01/2023
Variation-aware Vision Transformer Quantization
Despite the remarkable performance of Vision Transformers (ViTs) in vari...
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06/12/2023
Efficient Quantization-aware Training with Adaptive Coreset Selection
The expanding model size and computation of deep neural networks (DNNs) ...
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05/09/2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Federated noisy label learning (FNLL) is emerging as a promising tool fo...
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05/01/2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Limited training data and severe class imbalance impose significant chal...
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05/01/2023
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Medical image segmentation is a fundamental task in the community of med...
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04/15/2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
This study investigates barely-supervised medical image segmentation whe...
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03/24/2023
Few Shot Medical Image Segmentation with Cross Attention Transformer
Medical image segmentation has made significant progress in recent years...
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03/23/2023
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
Multiple instance learning (MIL) has emerged as a popular method for cla...
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03/23/2023
A Permutable Hybrid Network for Volumetric Medical Image Segmentation
The advent of Vision Transformer (ViT) has brought substantial advanceme...
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03/13/2023
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
Optical Coherence Tomography Angiography (OCTA) has become increasingly ...
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02/15/2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Deep regression is an important problem with numerous applications. Thes...
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02/04/2023
Oscillation-free Quantization for Low-bit Vision Transformers
Weight oscillation is an undesirable side effect of quantization-aware t...
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12/02/2022
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
The explosive growth of various types of big data and advances in AI tec...
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10/20/2022
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
Left-ventricular ejection fraction (LVEF) is an important indicator of h...
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10/09/2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Medical anomaly detection is a crucial yet challenging task aiming at re...
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09/21/2022
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
Over the past few years, the rapid development of deep learning technolo...
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09/20/2022
Graph Reasoning Transformer for Image Parsing
Capturing the long-range dependencies has empirically proven to be effec...
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07/03/2022
Sub-cluster-aware Network for Few-shot Skin Disease Classification
This paper studies the few-shot skin disease classification problem. Bas...
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06/30/2022
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Nuclei Segmentation from histology images is a fundamental task in digit...
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06/29/2022
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
Vision transformers have recently set off a new wave in the field of med...
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06/29/2022
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation
Convolutional neural networks (CNN), the most prevailing architecture fo...
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06/28/2022
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification
Federated learning (FL), enabling different medical institutions or clie...
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06/08/2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...
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05/04/2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
The purpose of federated learning is to enable multiple clients to joint...
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02/16/2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
Nuclei segmentation is a crucial task for whole slide image analysis in ...
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01/03/2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
This paper explores the feasibility of finding an optimal sub-model from...
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12/22/2021
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
Image regression tasks for medical applications, such as bone mineral de...
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12/03/2021
Data-Free Neural Architecture Search via Recursive Label Calibration
This paper aims to explore the feasibility of neural architecture search...
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11/29/2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
The nonuniform quantization strategy for compressing neural networks usu...
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11/22/2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
This paper presents a simple yet effective two-stage framework for semi-...
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07/07/2021
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
AIoT processors fabricated with newer technology nodes suffer rising sof...
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07/06/2021
Energy-Efficient Accelerator Design for Deformable Convolution Networks
Deformable convolution networks (DCNs) proposed to address the image rec...
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06/21/2021
How Do Adam and Training Strategies Help BNNs Optimization?
The best performing Binary Neural Networks (BNNs) are usually attained u...
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06/09/2021
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning
Hardware faults on the regular 2-D computing array of a typical deep lea...
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04/01/2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
This work aims to empirically clarify a recently discovered perspective ...
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02/17/2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Previous studies dominantly target at self-supervised learning on real-v...
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02/08/2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
The goal of few-shot learning is to learn a classifier that can recogniz...
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11/17/2020
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation
We present a new learning-based approach to recover egocentric 3D vehicl...
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06/14/2020
Cascaded deep monocular 3D human pose estimation with evolutionary training data
End-to-end deep representation learning has achieved remarkable accuracy...
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05/18/2020
Joint Multi-Dimension Pruning
We present joint multi-dimension pruning (named as JointPruning), a new ...
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05/13/2020
Binarizing MobileNet via Evolution-based Searching
Binary Neural Networks (BNNs), known to be one among the effectively com...
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03/07/2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
In this paper, we propose several ideas for enhancing a binary network t...
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08/28/2019
Facial age estimation by deep residual decision making
Residual representation learning simplifies the optimization problem of ...
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06/05/2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Optimization of Binarized Neural Networks (BNNs) currently relies on rea...
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04/19/2019
Visualizing the decision-making process in deep neural decision forest
Deep neural decision forest (NDF) achieved remarkable performance on var...
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12/17/2018
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
In this paper, we address the problem of synthesizing multi-parameter ma...
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11/04/2018
