no code implementations • 14 Mar 2024 • Yiqun Mei, Yu Zeng, He Zhang, Zhixin Shu, Xuaner Zhang, Sai Bi, Jianming Zhang, HyunJoon Jung, Vishal M. Patel
At the core of portrait photography is the search for ideal lighting and viewpoint.
no code implementations • 9 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.
1 code implementation • 25 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.
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.
no code implementations • 16 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.
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.
1 code implementation • 18 Nov 2021 • Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses.
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.
Ranked #8 on Image Inpainting on Places2
1 code implementation • 25 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.
1 code implementation • ECCV 2020 • Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu
To address this challenge, we propose an iterative inpainting method with a feedback mechanism.
Ranked #6 on Image Inpainting on Places2
no code implementations • 30 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.
1 code implementation • ICCV 2019 • Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang
SSNet consists of a segmentation network (SN) and a saliency aggregation module (SAM).
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.
1 code implementation • 24 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.
1 code implementation • 29 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.
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.
1 code implementation • 27 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.
no code implementations • 9 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.
no code implementations • 8 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.