Search Results for author: Yu Zeng

Found 19 papers, 11 papers with code

Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions

no code implementations9 Jun 2023 Haipeng Li, Dingrui Liu, Yu Zeng, Shuaicheng Liu, Tao Gan, Nini Rao, Jinlin Yang, Bing Zeng

On one hand, this "one-image-one-network" learning ensures complete patient privacy as it does not use any images from other patients as the training data.

Securing Deep Generative Models with Universal Adversarial Signature

1 code implementation25 May 2023 Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel

Prior research attempted to mitigate these threats by detecting generated images, but the varying traces left by different generative models make it challenging to create a universal detector capable of generalizing to new, unseen generative models.

SceneComposer: Any-Level Semantic Image Synthesis

no code implementations CVPR 2023 Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel

We propose a new framework for conditional image synthesis from semantic layouts of any precision levels, ranging from pure text to a 2D semantic canvas with precise shapes.

Image Generation

Shape-guided Object Inpainting

no code implementations16 Apr 2022 Yu Zeng, Zhe Lin, Vishal M. Patel

Therefore, we propose a new data preparation method and a novel Contextual Object Generator (CogNet) for the object inpainting task.

Image Inpainting Object

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

no code implementations CVPR 2022 Yu Zeng, Zhe Lin, Vishal M. Patel

Our model can be trained in a self-supervised fashion by learning the reconstruction of an image region from the style vector and sketch.

Image Manipulation

CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction

1 code implementation ICCV 2021 Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

The auxiliary branch (i. e. CR loss) is required only during training, and only the inpainting generator is required during the inference.

Image Inpainting

CR-Fill: Generative Image Inpainting with Auxiliary Contexutal Reconstruction

1 code implementation25 Nov 2020 Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

Due to the lack of supervision signals for the correspondence between missing regions and known regions, it may fail to find proper reference features, which often leads to artifacts in the results.

Image Inpainting

Delay Adaptation Method for Relay Assisted Optical Wireless Systems

no code implementations30 Apr 2020 Yu Zeng, Sanaa Hamid Mohamed, T. E. H. El-Gorashi, Jaafar M. H. Elmirghani

In this paper, we investigate optical wireless repeaters as relay terminals between a transmitter and a user in an Infrared Optical Wireless Communication (IROWC) system.

Multi-source weak supervision for saliency detection

1 code implementation CVPR 2019 Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu

To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.

Saliency Prediction

Automatic Seismic Salt Interpretation with Deep Convolutional Neural Networks

1 code implementation24 Nov 2018 Yu Zeng, Kebei Jiang, Jie Chen

One of the most crucial tasks in seismic reflection imaging is to identify the salt bodies with high precision.

Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation

1 code implementation29 Aug 2018 Jie Chen, Yu Zeng

This paper shows the inclusion of physics-motivated feature interaction in feature augmentation can further improve the capability of machine learning in rock facies classification.

BIG-bench Machine Learning Classification +4

Learning to Promote Saliency Detectors

1 code implementation CVPR 2018 Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji

The categories and appearance of salient objects vary from image to image, therefore, saliency detection is an image-specific task.

Saliency Detection Small Data Image Classification +1

Scalable Mutual Information Estimation using Dependence Graphs

1 code implementation27 Jan 2018 Morteza Noshad, Yu Zeng, Alfred O. Hero III

To the best of our knowledge EDGE is the first non-parametric MI estimator that can achieve parametric MSE rates with linear time complexity.

Information Plane Mutual Information Estimation

Statistics of Deep Generated Images

no code implementations9 Aug 2017 Yu Zeng, Huchuan Lu, Ali Borji

Here, we explore the low-level statistics of images generated by state-of-the-art deep generative models.

Generative Adversarial Network

An Unsupervised Game-Theoretic Approach to Saliency Detection

no code implementations8 Aug 2017 Yu Zeng, Huchuan Lu, Ali Borji, Mengyang Feng

Saliency maps are generated according to each region's strategy in the Nash equilibrium of the proposed Saliency Game.

object-detection RGB Salient Object Detection +2

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