Jingyang Zhang | DeepAI

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Ziwei Liu
178 publications
Pheng-Ann Heng
141 publications
Yiran Chen
100 publications
Qi Dou
97 publications
Dong Chen
86 publications
Hai Li
85 publications
Dinggang Shen
76 publications
Lei Ma
72 publications
Yu Zhao
61 publications
Shaoting Zhang
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Liang He
59 publications

∙ 06/23/2023

3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

Despite that the segment anything model (SAM) achieved impressive result...

0 Shizhan Gong, et al. ∙

∙ 06/15/2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

Out-of-Distribution (OOD) detection is critical for the reliable operati...

0 Jingyang Zhang, et al. ∙

∙ 03/30/2023

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

We present a novel differentiable rendering framework for joint geometry...

0 Jingyang Zhang, et al. ∙

∙ 03/25/2023

SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection

Building up reliable Out-of-Distribution (OOD) detectors is challenging,...

0 Jingyang Zhang, et al. ∙

∙ 03/08/2023

Structure-aware registration network for liver DCE-CT images

Image registration of liver dynamic contrast-enhanced computed tomograph...

0 Peng Xue, et al. ∙

∙ 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. ∙

∙ 09/09/2022

Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification

Machine learning methods must be trusted to make appropriate decisions i...

0 Randolph Linderman, et al. ∙

∙ 06/14/2022

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

In clinical practice, a segmentation network is often required to contin...

2 Jingyang Zhang, et al. ∙

∙ 06/07/2022

Critical Regularizations for Neural Surface Reconstruction in the Wild

Neural implicit functions have recently shown promising results on surfa...

0 Jingyang Zhang, et al. ∙

∙ 03/14/2022

NeILF: Neural Incident Light Field for Physically-based Material Estimation

We present a differentiable rendering framework for material and lightin...

1 Yao Yao, et al. ∙

∙ 02/21/2022

Privacy Leakage of Adversarial Training Models in Federated Learning Systems

Adversarial Training (AT) is crucial for obtaining deep neural networks ...

0 Jingyang Zhang, et al. ∙

∙ 09/18/2021

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

Domain generalizable model is attracting increasing attention in medical...

0 Ran Gu, et al. ∙

∙ 08/23/2021

Learning Signed Distance Field for Multi-view Surface Reconstruction

Recent works on implicit neural representations have shown promising res...

9 Jingyang Zhang, et al. ∙

∙ 06/07/2021

Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure

Enabling out-of-distribution (OOD) detection for DNNs is critical for th...

0 Jingyang Zhang, et al. ∙

∙ 05/06/2021

SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation

The segmentation of coronary arteries by convolutional neural network is...

0 Jingyang Zhang, et al. ∙

∙ 03/17/2021

Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?

We design blackbox transfer-based targeted adversarial attacks for an en...

0 Nathan Inkawhich, et al. ∙

∙ 09/30/2020

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Recent research finds CNN models for image classification demonstrate ov...

11 Huanrui Yang, et al. ∙

∙ 08/18/2020

Visibility-aware Multi-view Stereo Network

Learning-based multi-view stereo (MVS) methods have demonstrated promisi...

2 Jingyang Zhang, et al. ∙

∙ 08/11/2020

Learning Stereo Matchability in Disparity Regression Networks

Learning-based stereo matching has recently achieved promising results, ...

7 Jingyang Zhang, et al. ∙

∙ 05/27/2020

Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

The segmentation of coronary arteries in X-ray angiograms by convolution...

3 Jingyang Zhang, et al. ∙

∙ 11/22/2019

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

While deep learning has recently achieved great success on multi-view st...

21 Yao Yao, et al. ∙

∙ 09/18/2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment

Emerging resistive random-access memory (ReRAM) has recently been intens...

0 Jingyang Zhang, et al. ∙

∙ 03/29/2019

Multi-Scale Time-Frequency Attention for Rare Sound Event Detection

Attention mechanism has been widely applied to various sound-related tas...

0 Jingyang Zhang, et al. ∙

∙ 12/06/2018

Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack

In recent years, deep neural networks demonstrated state-of-the-art perf...

0 Jingyang Zhang, et al. ∙

∙ 09/27/2018

A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria

Multiple query criteria active learning (MQCAL) methods have a higher po...

0 Yu Zhao, et al. ∙

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