1k citations · 3.9k across the 81 of their papers we have counts for
19 papers · 1 filter
Image Translation via Fine-grained Knowledge Transfer
Xuanhong Chen, Ziang Liu, Ting Qiu +4
Prevailing image-translation frameworks mostly seek to process images via the end-to-end style, which has achieved convincing results. Nonetheless, these methods lack interpretabil…
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni +1
We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithm…
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Xuanhong Chen, Kairui Feng, Naiyuan Liu +4
AI-for-science approaches have been applied to solve scientific problems (e.g., nuclear fusion, ecology, genomics, meteorology) and have achieved highly promising results. Spatial…
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
Xuanhong Chen, Bingbing Ni, Naiyuan Liu +4
In contrast to great success of memory-consuming face editing methods at a low resolution, to manipulate high-resolution (HR) facial images, i.e., typically larger than 7682 pixels…
Omni-GAN: On the Secrets of cGANs and Beyond
Peng Zhou, Lingxi Xie, Bingbing Ni +2
The conditional generative adversarial network (cGAN) is a powerful tool of generating high-quality images, but existing approaches mostly suffer unsatisfying performance or the ri…
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang +2
This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available. Inspired by consistency of visual sa…
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Jiancheng Yang, Jiajun Chen, Kaiming Kuang +3
Predicting clinical outcome is remarkably important but challenging. Research efforts have been paid on seeking significant biomarkers associated with the therapy response or/and p…
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Jiancheng Yang, Mingze Gao, Kaiming Kuang +4
Diagnosis of pulmonary lesions from computed tomography (CT) is important but challenging for clinical decision making in lung cancer related diseases. Deep learning has achieved g…
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
We present MedMNIST, a collection of 10 pre-processed medical open datasets. MedMNIST is standardized to perform classification tasks on lightweight 28x28 images, which requires no…
Anisotropic Stroke Control for Multiple Artists Style Transfer
Xuanhong Chen, Xirui Yan, Naiyuan Liu +2
Though significant progress has been made in artistic style transfer, semantic information is usually difficult to be preserved in a fine-grained locally consistent manner by most…
Hierarchical Style-based Networks for Motion Synthesis
Jingwei Xu, Huazhe Xu, Bingbing Ni +3
Generating diverse and natural human motion is one of the long-standing goals for creating intelligent characters in the animated world. In this paper, we propose a self-supervised…
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Hang Wang, Minghao Xu, Bingbing Ni +1
Transferring knowledges learned from multiple source domains to target domain is a more practical and challenging task than conventional single-source domain adaptation. Furthermor…
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
Jinxian Liu, Minghui Yu, Bingbing Ni +1
We develop a novel learning scheme named Self-Prediction for 3D instance and semantic segmentation of point clouds. Distinct from most existing methods that focus on designing conv…
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni +3
The latent code of the recent popular model StyleGAN has learned disentangled representations thanks to the multi-layer style-based generator. Embedding a given image back to the l…
Video Prediction via Example Guidance
Jingwei Xu, Huazhe Xu, Bingbing Ni +2
In video prediction tasks, one major challenge is to capture the multi-modal nature of future contents and dynamics. In this work, we propose a simple yet effective framework that…
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Peng Zhou, Lingxi Xie, Xiaopeng Zhang +2
Conditional Generative Adversarial Networks (cGAN) were designed to generate images based on the provided conditions, \eg, class-level distributions. However, existing methods have…
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
Jiancheng Yang, Yi He, Xiaoyang Huang +4
This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
Jiancheng Yang, Haoran Deng, Xiaoyang Huang +2
Diagnosis and treatment of multiple pulmonary nodules are clinically important but challenging. Prior studies on nodule characterization use solitary-nodule approaches on multiple…
Cross-domain Detection via Graph-induced Prototype Alignment
Minghao Xu, Hang Wang, Bingbing Ni +2
Applying the knowledge of an object detector trained on a specific domain directly onto a new domain is risky, as the gap between two domains can severely degrade model's performan…