Search Results for author: Feng Yang

Found 25 papers, 7 papers with code

Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs

no code implementations13 Jun 2022 Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K Antani

We observed that the stacking ensemble demonstrated superior segmentation performance (Dice score: 0. 5743, 95% confidence interval: (0. 4055, 0. 7431)) compared to the individual constituent models and other ensemble methods.

Decision Making Ensemble Learning +2

MaxViT: Multi-Axis Vision Transformer

5 code implementations4 Apr 2022 Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li

We also show that our proposed model expresses strong generative modeling capability on ImageNet, demonstrating the superior potential of MaxViT blocks as a universal vision module.

Ranked #13 on Image Classification on ImageNet (using extra training data)

Image Classification object-detection +1

MAXIM: Multi-Axis MLP for Image Processing

1 code implementation CVPR 2022 Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li

In this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks.

 Ranked #1 on Deblurring on RealBlur-J (using extra training data)

Deblurring Image Deblurring +6

MUSIQ: Multi-scale Image Quality Transformer

2 code implementations ICCV 2021 Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang

To accommodate this, the input images are usually resized and cropped to a fixed shape, causing image quality degradation.

Image Quality Assessment

An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN

no code implementations23 Jul 2021 Fei Zhang, Chaochen Gu, Feng Yang

Deep Q Network (DQN) has several limitations when applied in planning a path in environment with a number of dilemmas according to our experiment.

Rich Features for Perceptual Quality Assessment of UGC Videos

no code implementations CVPR 2021 Yilin Wang, Junjie Ke, Hossein Talebi, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli, Peyman Milanfar, Feng Yang

Besides the subjective ratings and content labels of the dataset, we also propose a DNN-based framework to thoroughly analyze importance of content, technical quality, and compression level in perceptual quality.

Video Quality Assessment

COMISR: Compression-Informed Video Super-Resolution

2 code implementations ICCV 2021 Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar

Most video super-resolution methods focus on restoring high-resolution video frames from low-resolution videos without taking into account compression.

Video Super-Resolution

Deep Perceptual Image Quality Assessment for Compression

no code implementations1 Mar 2021 Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar

In this paper we propose the largest image compression quality dataset to date with human perceptual preferences, enabling the use of deep learning, and we develop a full reference perceptual quality assessment metric for lossy image compression that outperforms the existing state-of-the-art methods.

Image Compression Image Quality Assessment +1

Multi-path Neural Networks for On-device Multi-domain Visual Classification

no code implementations10 Oct 2020 Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar

This approach effectively reduces the total number of parameters and FLOPS, encouraging positive knowledge transfer while mitigating negative interference across domains.

General Classification Neural Architecture Search +1

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study

no code implementations3 Aug 2020 Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar

As a case study, we focus on the design of the quantization tables in the JPEG compression standard.


GIFnets: Differentiable GIF Encoding Framework

no code implementations CVPR 2020 Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar

DitherNet manipulates the input image to reduce color banding artifacts and provides an alternative to traditional dithering.

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning

no code implementations25 May 2020 Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wangz

Countries across the globe have been pushing strict regulations on the protection of personal or private data collected.

Distributed, Parallel, and Cluster Computing

Super-Resolving Commercial Satellite Imagery Using Realistic Training Data

no code implementations26 Feb 2020 Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar

We propose a realistic training data generation model for commercial satellite imagery products, which includes not only the imaging process on satellites but also the post-process on the ground.

satellite image super-resolution Single Image Super Resolution

Better Compression with Deep Pre-Editing

no code implementations1 Feb 2020 Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia Dorado, Feng Yang, Peyman Milanfar, Michael Elad

In this work we aim to break the unholy connection between bit-rate and image quality, and propose a way to circumvent compression artifacts by pre-editing the incoming image and modifying its content to fit the given bits.

Distortion Agnostic Deep Watermarking

no code implementations CVPR 2020 Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar

Watermarking is the process of embedding information into an image that can survive under distortions, while requiring the encoded image to have little or no perceptual difference from the original image.

CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging

no code implementations17 Dec 2019 Zeyu Deng, Lihui Wang, Zixiang Kuai, Qijian Chen, Xinyu Cheng, Feng Yang, Jie Yang, Yue-Min Zhu

The results on both simulated and acquired in vivo cardiac DW images showed that the proposed WSCNN method effectively compensates for motion-induced signal loss and produces in vivo cardiac DW images with better quality and more coherent fiber structures with respect to existing methods, which makes it an interesting method for measuring correctly the diffusion properties of the in vivo human heart in DTI under free breathing.

Motion Compensation Translation

Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator

no code implementations4 Feb 2019 Feng Yang, C. Devon Lin, Pritam Ranjan

One fundamental issue in the study of computer simulators is known as experimental design, that is, how to select the input settings where the computer simulator is run and the corresponding response is collected.

Decision Making Experimental Design

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

1 code implementation16 Oct 2018 Yunan Wu, Feng Yang, Ying Liu, Xuefan Zha, Shaofeng Yuan

Then, in order to alleviate the overfitting problem in two-dimensional network, we initialize AlexNet-like network with weights trained on ImageNet, to fit the training ECG images and fine-tune the model, and to further improve the accuracy and robustness of ECG classification.

ECG Classification General Classification

Learning the Synthesizability of Dynamic Texture Samples

no code implementations3 Feb 2018 Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang

In this paper, we investigate the synthesizability of dynamic texture samples: {\em given a dynamic texture sample, how synthesizable it is by using EDTS, and which EDTS method is the most suitable to synthesize it?}

Texture Synthesis

Image tag completion by local learning

no code implementations18 Aug 2015 Jing-Yan Wang, Yihua Zhou, Haoxiang Wang, Xiaohong Yang, Feng Yang, Austin Peterson

The problem of tag completion is to learn the missing tags of an image.


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