Search Results for author: Danny Chen

Found 15 papers, 7 papers with code

Scalable Autoregressive Monocular Depth Estimation

no code implementations18 Nov 2024 Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu

Our idea is simple: We tackle the monocular depth estimation (MDE) task with an autoregressive prediction paradigm, based on two core designs.

Monocular Depth Estimation Zero-shot Generalization

Group-On: Boosting One-Shot Segmentation with Supportive Query

no code implementations18 Apr 2024 Hanjing Zhou, Mingze Yin, Jintai Chen, Danny Chen, Jian Wu

One-shot semantic segmentation aims to segment query images given only ONE annotated support image of the same class.

One-Shot Segmentation Segmentation

Multi-rater Prompting for Ambiguous Medical Image Segmentation

no code implementations11 Apr 2024 Jinhong Wang, Yi Cheng, Jintai Chen, Hongxia Xu, Danny Chen, Jian Wu

In this paper, we tackle two challenges arisen in multi-rater annotations for medical image segmentation (called ambiguous medical image segmentation): (1) How to train a deep learning model when a group of raters produces a set of diverse but plausible annotations, and (2) how to fine-tune the model efficiently when computation resources are not available for re-training the entire model on a different dataset domain.

Image Segmentation Medical Image Segmentation +2

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis

1 code implementation28 Mar 2024 Jinhong Wang, Tingting Chen, Jintai Chen, Yixuan Wu, Yuyang Xu, Danny Chen, Haochao Ying, Jian Wu

In this paper, we present a self-supervised method via polar transformation based progressive contrastive learning, called PoCo, for ophthalmic disease diagnosis.

Contrastive Learning

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

2 code implementations12 Mar 2024 Jinhong Wang, Jintai Chen, Danny Chen, Jian Wu

In this paper, we introduce a Large Kernel Vision Mamba U-shape Network, or LKM-UNet, for medical image segmentation.

Image Segmentation Long-range modeling +3

Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search

no code implementations14 Jan 2024 Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Chen, Michael Niemier, X. Sharon Hu

Earth Mover's Distance (EMD) is an important similarity measure between two distributions, used in computer vision and many other application domains.

Image Classification

TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing

1 code implementation ICLR 2023 Jintai Chen, Kuanlun Liao, Yanwen Fang, Danny Chen, Jian Wu

In this paper, we propose to encapsulate all feature values of a record into vectorial features and process them collectively rather than have to deal with individual ones, which directly captures the representations at the data level and benefits robust performances.

Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction

1 code implementation ICCV 2023 Jinhong Wang, Yi Cheng, Jintai Chen, Tingting Chen, Danny Chen, Jian Wu

In this way, we decompose an ordinal regression task into a series of recursive binary classification steps, so as to subtly distinguish adjacent categories.

Binary Classification Prediction +1

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction

1 code implementation12 Dec 2022 Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Chen, Jian Wu

Clinically, to assess the necessity of cataract surgery, accurately predicting postoperative VA before surgery by analyzing multi-view optical coherence tomography (OCT) images is crucially needed.

regression

Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning

no code implementations2 Jul 2020 Hui Xie, Zhe Pan, Leixin Zhou, Fahim A Zaman, Danny Chen, Jost B Jonas, Yaxing Wang, Xiaodong Wu

In this work, we propose to parameterize the surface cost functions in the graph model and leverage DL to learn those parameters.

Deep Learning Image Segmentation +3

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

no code implementations CVPR 2018 Xiaowei Xu, Qing Lu, Yu Hu, Lin Yang, Sharon Hu, Danny Chen, Yiyu Shi

Unlike existing litera- ture on quantization which primarily targets memory and computation complexity reduction, we apply quan- tization as a method to reduce over tting in FCNs for better accuracy.

Image Segmentation Quantization +2

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