Search Results for author: Juan Wang

Found 13 papers, 7 papers with code

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

no code implementations8 Mar 2024 Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu, Liang Wang

On the other hand, PromptIQA is trained on a mixed dataset with two proposed data augmentation strategies to learn diverse requirements, thus enabling it to effectively adapt to new requirements.

Data Augmentation No-Reference Image Quality Assessment

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment

no code implementations19 Jan 2024 Zewen Chen, Juan Wang, Bing Li, Chunfeng Yuan, Weiming Hu, Junxian Liu, Peng Li, Yan Wang, Youqun Zhang, Congxuan Zhang

Due to the subjective nature of image quality assessment (IQA), assessing which image has better quality among a sequence of images is more reliable than assigning an absolute mean opinion score for an image.

No-Reference Image Quality Assessment

Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations

1 code implementation28 Jan 2023 Juan Wang, Bin Xia

The proposed polar transformation based MIL formulation works for both tight and loose bounding boxes, in which a positive bag is defined as pixels in a polar line of a bounding box with one endpoint located inside the object enclosed by the box and the other endpoint located at one of the four sides of the box.

Image Segmentation Multiple Instance Learning +2

Personalized Execution Time Optimization for the Scheduled Jobs

no code implementations11 Mar 2022 Yang Liu, Juan Wang, Zhengxing Chen, Ian Fox, Imani Mufti, Jason Sukumaran, Baokun He, Xiling Sun, Feng Liang

Scheduled batch jobs have been widely used on the asynchronous computing platforms to execute various enterprise applications, including the scheduled notifications and the candidate pre-computation for the modern recommender systems.

Learning-To-Rank Recommendation Systems +1

Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations

1 code implementation3 Mar 2022 Juan Wang, Bin Xia

It presents a multiple instance learning strategy based on polar transformation to assist image segmentation when loose bounding boxes are employed as supervision.

Image Segmentation Multiple Instance Learning +2

Bounding Box Tightness Prior for Weakly Supervised Image Segmentation

1 code implementation3 Oct 2021 Juan Wang, Bin Xia

Two variants of smooth maximum approximation, i. e., $\alpha$-softmax function and $\alpha$-quasimax function, are exploited to conquer the numeral instability introduced by maximum function of bag prediction.

Image Segmentation Multiple Instance Learning +2

CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning

1 code implementation3 Oct 2021 Juan Wang, Bin Xia

For this purpose, we develop a two-task network named as CDRNet for accurate CDR measurement, one for weakly supervised image segmentation, and the other for bounding-box regression.

Image Segmentation Multiple Instance Learning +3

Reinforcement Learning-based Product Delivery Frequency Control

no code implementations20 Dec 2020 Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

We demonstrate statistically significant improvement in daily metrics and resource efficiency by our method in several notification applications at a scale of billions of users.

Recommendation Systems reinforcement-learning +1

Universal Semantic Segmentation for Fisheye Urban Driving Images

1 code implementation31 Jan 2020 Yaozu Ye, Kailun Yang, Kaite Xiang, Juan Wang, Kaiwei Wang

In this paper, a seven degrees of freedom (DoF) augmentation method is proposed to transform rectilinear image to fisheye image in a more comprehensive way.

Autonomous Driving Image Segmentation +2

SvTPM: A Secure and Efficient vTPM in the Cloud

1 code implementation21 May 2019 Juan Wang, Chengyang Fan, Jie Wang, Yueqiang Cheng, Yinqian Zhang, Wenhui Zhang, Peng Liu, Hongxin Hu

In this paper, we present SvTPM, a secure and efficient software-based vTPM implementation based on hardware-rooted Trusted Execution Environment (TEE), providing a whole life cycle protection of vTPMs in the cloud.

Cryptography and Security

Voiceprint recognition of Parkinson patients based on deep learning

no code implementations17 Dec 2018 Zhijing Xu, Juan Wang, Ying Zhang, Xiangjian He

In this paper, a method based on Deep Neural Network (DNN) recognition and classification combined with Mini-Batch Gradient Descent (MBGD) is proposed to distinguish PD patients from healthy people using voiceprint features.

General Classification

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