Jianbo Jiao | DeepAI

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∙ 04/20/2023

Revisiting Implicit Neural Representations in Low-Level Vision

Implicit Neural Representation (INR) has been emerging in computer visio...

0 Wentian Xu, et al. ∙

∙ 04/03/2023

Disentangled Pre-training for Image Matting

Image matting requires high-quality pixel-level human annotations to sup...

0 Yanda Li, et al. ∙

∙ 11/13/2022

Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation

Incremental or continual learning has been extensively studied for image...

0 Zekang Zhang, et al. ∙

∙ 08/22/2022

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Self-supervised contrastive representation learning offers the advantage...

2 Zeyu Fu, et al. ∙

∙ 11/25/2021

Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks

In this work we investigate how to achieve equivariance to input transfo...

0 Jianbo Jiao, et al. ∙

∙ 10/11/2021

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

Studies on self-supervised visual representation learning (SSL) improve ...

0 Chongjian Ge, et al. ∙

∙ 09/12/2021

Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition

Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can res...

2 Zeyu Fu, et al. ∙

∙ 06/08/2021

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation is receiving great attention due...

0 Bingfeng Zhang, et al. ∙

∙ 09/28/2020

Cross-Task Representation Learning for Anatomical Landmark Detection

Recently, there is an increasing demand for automatically detecting anat...

0 Zeyu Fu, et al. ∙

∙ 08/31/2020

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics

This paper proposes a novel pretext task to address the self-supervised ...

10 Jiangliu Wang, et al. ∙

∙ 08/19/2020

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...

0 Jianbo Jiao, et al. ∙

∙ 08/14/2020

Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound

In medical imaging, manual annotations can be expensive to acquire and s...

24 Jianbo Jiao, et al. ∙

∙ 08/13/2020

Self-supervised Video Representation Learning by Pace Prediction

This paper addresses the problem of self-supervised video representation...

0 Jiangliu Wang, et al. ∙

∙ 03/30/2020

Laplacian Denoising Autoencoder

While deep neural networks have been shown to perform remarkably well in...

5 Jianbo Jiao, et al. ∙

∙ 03/11/2020

Unified Image and Video Saliency Modeling

Visual saliency modeling for images and videos is treated as two indepen...

2 Richard Droste, et al. ∙

∙ 02/28/2020

Self-supervised Representation Learning for Ultrasound Video

Recent advances in deep learning have achieved promising performance for...

0 Jianbo Jiao, et al. ∙

∙ 09/08/2019

Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...

0 Jianbo Jiao, et al. ∙

∙ 04/07/2019

Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

We address the problem of video representation learning without human-an...

0 Jiangliu Wang, et al. ∙

∙ 04/06/2019

When AWGN-based Denoiser Meets Real Noises

Discriminative learning based image denoisers have achieved promising pe...

20 Yuqian Zhou, et al. ∙

∙ 09/06/2018

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

Image denoising and high-level vision tasks are usually handled independ...

0 Ding Liu, et al. ∙

∙ 10/23/2016

3D Hand Pose Tracking and Estimation Using Stereo Matching

3D hand pose tracking/estimation will be very important in the next gene...

0 Jiawei Zhang, et al. ∙

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