b'Kang Li'

research

∙ 08/25/2023

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

Financial exchanges across the world use limit order books (LOBs) to pro...

0 Sascha Frey, 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

∙ 07/12/2023

Deep learning-based estimation of whole-body kinematics from multi-view images

It is necessary to analyze the whole-body kinematics (including joint lo...

0 Kien X. Nguyen, et al. ∙

research

∙ 06/29/2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

Pretraining with large-scale 3D volumes has a potential for improving th...

0 Guotai Wang, et al. ∙

research

∙ 06/25/2023

Masked conditional variational autoencoders for chromosome straightening

Karyotyping is of importance for detecting chromosomal aberrations in hu...

0 Jingxiong Li, et al. ∙

research

∙ 06/14/2023

Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Masked autoencoder (MAE) has attracted unprecedented attention and achie...

0 Qingbo Kang, et al. ∙

research

∙ 05/30/2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models

Large pre-trained vision-language models have shown great prominence in ...

0 Huahui Yi, et al. ∙

research

∙ 04/28/2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

The Segment Anything Model (SAM) made an eye-catching debut recently and...

0 Dongjie Cheng, et al. ∙

research

∙ 04/13/2023

Understanding Overfitting in Adversarial Training via Kernel Regression

Adversarial training and data augmentation with noise are widely adopted...

0 Teng Zhang, et al. ∙

research

∙ 03/31/2023

HD-GCN:A Hybrid Diffusion Graph Convolutional Network

The information diffusion performance of GCN and its variant models is l...

0 Zhi Yang, et al. ∙

research

∙ 03/12/2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Inevitable domain and task discrepancies in real-world scenarios can imp...

0 Huahui Yi, et al. ∙

research

∙ 03/07/2023

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

In this paper, we propose an effective sound event detection (SED) metho...

0 Kang Li, 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

∙ 11/09/2022

Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening

Contemporary methods have shown promising results on cardiac image segme...

0 Kang Li, et al. ∙

research

∙ 09/30/2022

Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

The large-scale pre-trained vision language models (VLM) have shown rema...

0 Ziyuan Qin, et al. ∙

research

∙ 08/19/2022

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

Background and Objective: Existing deep learning platforms for medical i...

15 Guotai Wang, et al. ∙

research

∙ 08/11/2022

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

The success of Convolutional Neural Networks (CNNs) in 3D medical image ...

18 Shuwei Zhai, et al. ∙

research

∙ 06/08/2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking

Monocular image-based 3D perception has become an active research area i...

6 Longlong Jing, et al. ∙

research

∙ 06/07/2022

HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy

Accurate segmentation of Anatomical brain Barriers to Cancer spread (ABC...

0 Hao Fu, et al. ∙

research

∙ 03/13/2022

Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image

For diagnosis of shoulder illness, it is essential to look at the morpho...

0 Xiaoxiao He, et al. ∙

research

∙ 07/28/2021

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)

The repairing work of terracotta warriors in Emperor Qinshihuang Mausole...

0 Yao Hu, et al. ∙

research

∙ 06/02/2021

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

Simulation-based virtual testing has become an essential step to ensure ...

0 Zhisheng Hu, 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

∙ 02/20/2021

SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh

Rowhammer attacks that corrupt level-1 page tables to gain kernel privil...

0 Zhi Zhang, et al. ∙

research

∙ 02/10/2021

Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis

Deep neural networks (DNNs) have been applied in a wide range of applica...

0 Fengting Li, et al. ∙

research

∙ 02/09/2021

On Explainability of Graph Neural Networks via Subgraph Explorations

We consider the problem of explaining the predictions of graph neural ne...

27 Hao Yuan, et al. ∙

research

∙ 01/07/2021

Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation

Annotation scarcity is a long-standing problem in medical image analysis...

0 Kang Li, et al. ∙

research

∙ 12/01/2020

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods

In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...

0 Yao Hu, et al. ∙

research

∙ 10/13/2020

DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Deep convolutional neural networks have significantly boosted the perfor...

13 Shujun Wang, et al. ∙

research

∙ 10/05/2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation

NLP models are shown to suffer from robustness issues, i.e., a model's p...

0 Tianlu Wang, et al. ∙

research

∙ 10/04/2020

Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation

The success of deep convolutional neural networks is partially attribute...

11 Kang Li, et al. ∙

research

∙ 07/13/2020

Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation

Medical image annotations are prohibitively time-consuming and expensive...

11 Kang Li, 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

∙ 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

∙ 06/26/2019

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...

1 Shujun Wang, et al. ∙

research

∙ 06/04/2019

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

The aim of this study is developing an automatic system for detection of...

0 Rahil Mehrizi, et al. ∙

research

∙ 02/22/2019

Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

For the initial shoulder preoperative diagnosis, it is essential to obta...

2 Xiaoxiao He, et al. ∙

research

∙ 02/06/2018

Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution

Lifting is a common manual material handling task performed in the workp...

0 Rahil Mehrizi, et al. ∙

research

∙ 02/01/2018

Real-Time Human-Robot Interaction for a Service Robot Based on 3D Human Activity Recognition and Human-like Decision Mechanism

This paper describes the development of a real-time Human-Robot Interact...

0 Kang Li, et al. ∙

research

∙ 02/01/2018

Automatic Safety Helmet Wearing Detection

Surveillance is essential for the safety of power substation. The detect...

0 Kang Li, et al. ∙

research

∙ 12/21/2017

Wolf in Sheep's Clothing - The Downscaling Attack Against Deep Learning Applications

This paper considers security risks buried in the data processing pipeli...

0 Qixue Xiao, et al. ∙

research

∙ 11/29/2017

Security Risks in Deep Learning Implementations

Advance in deep learning algorithms overshadows their security risk in s...

0 Qixue Xiao, et al. ∙

research

∙ 05/30/2015

Recognition of convolutional neural network based on CUDA Technology

For the problem whether Graphic Processing Unit(GPU),the stream processo...

0 Yi-bin Huang, et al. ∙

Kang Li

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