2.3k citations · 3.8k across the 24 of their papers we have counts for
12 papers · 1 filter
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu +5
Learning visual knowledge from massive weakly-labeled web videos has attracted growing research interests thanks to the large corpus of easily accessible video data on the Internet…
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang +4
Recent advances in semi-supervised learning (SSL) demonstrate that a combination of consistency regularization and pseudo-labeling can effectively improve image classification accu…
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li +3
Semi-supervised learning (SSL) has a potential to improve the predictive performance of machine learning models using unlabeled data. Although there has been remarkable recent prog…
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang, Adriana Romero, Matthew J. Muckley +3
The goal of MRI reconstruction is to restore a high fidelity image from partially observed measurements. This partial view naturally induces reconstruction uncertainty that can onl…
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram +24
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the potential to reduce medical costs, minimize stress to patients and make MRI possible in applicati…
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang, Lin Yang, Yefeng Zheng
Synthesized medical images have several important applications, e.g., as an intermedium in cross-modality image registration and as supplementary training samples to boost the gene…
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
Zizhao Zhang, Yuanpu Xie, Lin Yang
This paper presents a novel method to deal with the challenging task of generating photographic images conditioned on semantic image descriptions. Our method introduces accompanyin…
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang, Fuyong Xing, Hai Su +2
The fast growing deep learning technologies have become the main solution of many machine learning problems for medical image analysis. Deep convolution neural networks (CNNs), as…
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
Zizhao Zhang, Pingjun Chen, Manish Sapkota +1
In this paper, we introduce the semantic knowledge of medical images from their diagnostic reports to provide an inspirational network training and an interpretable prediction mech…
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Zizhao Zhang, Yuanpu Xie, Fuyong Xing +2
The inability to interpret the model prediction in semantically and visually meaningful ways is a well-known shortcoming of most existing computer-aided diagnosis methods. In this…
Revisiting Graph Construction for Fast Image Segmentation
Zizhao Zhang, Fuyong Xing, Hanzi Wang +4
In this paper, we propose a simple but effective method for fast image segmentation. We re-examine the locality-preserving character of spectral clustering by constructing a graph…
SemiContour: A Semi-supervised Learning Approach for Contour Detection
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi +1
Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotated data might be unavailable or…