b'Feng Yang'

research

∙ 09/20/2023

Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images

Model initialization techniques are vital for improving the performance ...

0 Sivaramakrishnan Rajaraman, et al. ∙

research

∙ 09/18/2023

Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays

Deep learning (DL) has demonstrated its innate capacity to independently...

0 Sivaramakrishnan Rajaraman, et al. ∙

research

∙ 07/25/2023

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection

Human-Object Interaction (HOI) detection is a challenging computer visio...

0 Yichao Cao, et al. ∙

research

∙ 06/11/2023

MLE-based Device Activity Detection under Rician Fading for Massive Grant-free Access with Perfect and Imperfect Synchronization

Most existing studies on massive grant-free access, proposed to support ...

0 Wang Liu, et al. ∙

research

∙ 05/30/2023

Forward-Forward Training of an Optical Neural Network

Neural networks (NN) have demonstrated remarkable capabilities in variou...

0 İlker Oğuz, et al. ∙

research

∙ 05/16/2023

Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks

Automatic and accurate segmentation of aortic vessel tree (AVT) in compu...

0 Shaofeng Yuan, et al. ∙

research

∙ 03/24/2023

VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining

Assessing the aesthetics of an image is challenging, as it is influenced...

0 Junjie Ke, et al. ∙

research

∙ 03/20/2023

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Diffusion models have achieved remarkable success in text-to-image gener...

0 Ligong Han, et al. ∙

research

∙ 03/13/2023

MRET: Multi-resolution Transformer for Video Quality Assessment

No-reference video quality assessment (NR-VQA) for user generated conten...

0 Junjie Ke, et al. ∙

research

∙ 01/30/2023

CSDN: Combing Shallow and Deep Networks for Accurate Real-time Segmentation of High-definition Intravascular Ultrasound Images

Intravascular ultrasound (IVUS) is the preferred modality for capturing ...

0 Shaofeng Yuan, et al. ∙

research

∙ 01/10/2023

Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?

Deep learning (DL) models are becoming state-of-the-art in segmenting an...

0 Sivaramakrishnan Rajaraman, et al. ∙

research

∙ 11/04/2022

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study

Lung segmentation in chest X-rays (CXRs) is an important prerequisite fo...

0 Sivaramakrishnan Rajaraman, et al. ∙

research

∙ 09/19/2022

Encrypted Semantic Communication Using Adversarial Training for Privacy Preserving

Semantic communication is implemented based on shared background knowled...

0 Xinlai Luo, et al. ∙

research

∙ 07/25/2022

Video object tracking based on YOLOv7 and DeepSORT

Multiple object tracking (MOT) is an important technology in the field o...

0 Feng Yang, et al. ∙

research

∙ 06/22/2022

LECA: A Learned Approach for Efficient Cover-agnostic Watermarking

In this work, we present an efficient multi-bit deep image watermarking ...

0 Xiyang Luo, et al. ∙

research

∙ 06/13/2022

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

Automated segmentation of tuberculosis (TB)-consistent lesions in chest ...

19 Sivaramakrishnan Rajaraman, et al. ∙

research

∙ 04/04/2022

MaxViT: Multi-Axis Vision Transformer

Transformers have recently gained significant attention in the computer ...

0 Zhengzhong Tu, et al. ∙

research

∙ 03/31/2022

Analysis and Optimization of A Double-IRS Cooperatively Assisted System with A Quasi-Static Phase Shift Design

The analysis and optimization of single intelligent reflecting surface (...

0 Gengfa Ding, et al. ∙

research

∙ 03/12/2022

Doubly Coupled Designs for Computer Experiments with both Qualitative and Quantitative Factors

Computer experiments with both qualitative and quantitative input variab...

0 Feng Yang, et al. ∙

research

∙ 01/27/2022

Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification

Learning a powerful representation from point clouds is a fundamental an...

0 Feng Yang, et al. ∙

research

∙ 01/09/2022

MAXIM: Multi-Axis MLP for Image Processing

Recent progress on Transformers and multi-layer perceptron (MLP) models ...

2 Zhengzhong Tu, et al. ∙

research

∙ 08/12/2021

MUSIQ: Multi-scale Image Quality Transformer

Image quality assessment (IQA) is an important research topic for unders...

9 Junjie Ke, et al. ∙

research

∙ 07/23/2021

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

Deep Q Network (DQN) has several limitations when applied in planning a ...

0 Fei Zhang, et al. ∙

research

∙ 07/22/2021

Joint Optimization of Preamble Selection and Access Barring for Random Access in MTC with General Device Activities

Most existing random access schemes for MTC simply adopt a uniform pream...

0 Wang Liu, et al. ∙

research

∙ 06/01/2021

Adversarially Adaptive Normalization for Single Domain Generalization

Single domain generalization aims to learn a model that performs well on...

8 Xinjie Fan, et al. ∙

research

∙ 04/27/2021

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings

Digital watermarking is widely used for copyright protection. Traditiona...

0 Innfarn Yoo, et al. ∙

research

∙ 04/26/2021

DVMark: A Deep Multiscale Framework for Video Watermarking

Video watermarking embeds a message into a cover video in an imperceptib...

0 Xiyang Luo, et al. ∙

research

∙ 03/01/2021

Deep Perceptual Image Quality Assessment for Compression

Lossy Image compression is necessary for efficient storage and transfer ...

0 Juan Carlos Mier, et al. ∙

research

∙ 01/07/2021

Uniformity criterion for designs with both qualitative and quantitative factors

Experiments with both qualitative and quantitative factors occur frequen...

0 Mei Zhang, et al. ∙

research

∙ 08/03/2020

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study

Handling digital images is almost always accompanied by a lossy compress...

3 Xiyang Luo, et al. ∙

research

∙ 06/24/2020

GIFnets: Differentiable GIF Encoding Framework

Graphics Interchange Format (GIF) is a widely used image file format. Du...

4 Innfarn Yoo, et al. ∙

research

∙ 05/25/2020

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

Countries across the globe have been pushing strict regulations on the p...

0 Renuga Kanagavelu, et al. ∙

research

∙ 02/26/2020

Super-Resolving Commercial Satellite Imagery Using Realistic Training Data

In machine learning based single image super-resolution, the degradation...

4 Xiang Zhu, et al. ∙

research

∙ 02/01/2020

Better Compression with Deep Pre-Editing

Could we compress images via standard codecs while avoiding artifacts? T...

0 Hossein Talebi, et al. ∙

research

∙ 01/14/2020

Distortion Agnostic Deep Watermarking

Watermarking is the process of embedding information into an image that ...

17 Xiyang Luo, et al. ∙

research

∙ 12/17/2019

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

In vivo diffusion tensor imaging (DTI) is a promising technique to inves...

8 Zeyu Deng, et al. ∙

research

∙ 09/20/2019

Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access with Massive MIMO

Grant-free massive access is an important technique for supporting massi...

0 Gang Chen, et al. ∙

research

∙ 09/05/2019

Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems

Intelligent reflecting surface (IRS) is envisioned to be a promising sol...

0 Zijian Zhang, et al. ∙

research

∙ 05/14/2019

Low Complexity Algorithms for Robust Multigroup Multicast Beamforming

Existing methods for robust multigroup multicast beamforming obtain feas...

0 Guangda Zang, et al. ∙

research

∙ 02/04/2019

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

Computer simulators are nowadays widely used to understand complex physi...

0 Feng Yang, et al. ∙

research

∙ 10/16/2018

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

Effective detection of arrhythmia is an important task in the remote mon...

0 Yunan Wu, et al. ∙

research

∙ 10/16/2018

A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation

The computer-aided diagnosis (CAD) systems can highly improve the reliab...

0 Yujiao Tang, et al. ∙

research

∙ 08/17/2018

Mixed-Level Column Augmented Uniform Designs

In follow-up designs, some additional factors with two or three levels m...

0 Feng Yang, et al. ∙

research

∙ 02/03/2018

Learning the Synthesizability of Dynamic Texture Samples

A dynamic texture (DT) refers to a sequence of images that exhibit tempo...

0 Feng Yang, et al. ∙

research

∙ 09/13/2017

Data offloading in mobile edge computing: A coalitional game based pricing approach

Mobile edge computing (MEC), affords service to the vicinity of mobile d...

0 Tian Zhang, et al. ∙

Feng Yang

Featured Co-authors