b'Xin Ma'

research

∙ 08/11/2023

Semantic-embedded Similarity Prototype for Scene Recognition

Due to the high inter-class similarity caused by the complex composition...

0 Chuanxin Song, et al. ∙

research

∙ 07/13/2023

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

This paper introduces InternVid, a large-scale video-centric multimodal ...

0 Yi Wang, et al. ∙

research

∙ 05/22/2023

Semantic-guided context modeling for indoor scene recognition

Exploring the semantic context in scene images is essential for indoor s...

0 Chuanxin Song, et al. ∙

research

∙ 05/15/2023

SRRM: Semantic Region Relation Model for Indoor Scene Recognition

Despite the remarkable success of convolutional neural networks in vario...

0 Chuanxin Song, et al. ∙

research

∙ 05/06/2023

LEO: Generative Latent Image Animator for Human Video Synthesis

Spatio-temporal coherency is a major challenge in synthesizing high qual...

5 Yaohui Wang, et al. ∙

research

∙ 12/31/2022

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling

Masked image modeling (MIM) has shown great promise for self-supervised ...

0 Xin Ma, et al. ∙

research

∙ 10/26/2022

High-dimensional Measurement Error Models for Lipschitz Loss

Recently emerging large-scale biomedical data pose exciting opportunitie...

0 Xin Ma, et al. ∙

research

∙ 07/14/2022

A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering

A covert attack method often used by APT organizations is the DNS tunnel...

0 Xin Ma, et al. ∙

research

∙ 03/28/2022

TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving

Traffic light recognition, as a critical component of the perception mod...

0 Danfeng Wang, et al. ∙

research

∙ 01/07/2022

Compressing Models with Few Samples: Mimicking then Replacing

Few-sample compression aims to compress a big redundant model into a sma...

0 Huanyu Wang, et al. ∙

research

∙ 12/20/2021

Contrastive Attention Network with Dense Field Estimation for Face Completion

Most modern face completion approaches adopt an autoencoder or its varia...

7 Xin Ma, et al. ∙

research

∙ 06/09/2021

Very Compact Clusters with Structural Regularization via Similarity and Connectivity

Clustering algorithms have significantly improved along with Deep Neural...

0 Xin Ma, et al. ∙

research

∙ 03/04/2021

Multi-task Learning with High-Dimensional Noisy Images

Recent medical imaging studies have given rise to distinct but inter-rel...

0 Xin Ma, et al. ∙

research

∙ 03/01/2021

Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering

Everyday contact-rich tasks, such as peeling, cleaning, and writing, dem...

0 Mythra V. Balakuntala, et al. ∙

research

∙ 02/14/2021

Point-line-based RGB-D SLAM and Bundle Adjustment Uncertainty Analysis

Most of the state-of-the-art indirect visual SLAM methods are based on t...

0 Xin Ma, et al. ∙

research

∙ 01/01/2021

Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching

In deep learning-based local stereo matching methods, larger image patch...

8 Xin Ma, et al. ∙

research

∙ 12/08/2020

Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning

Millions of unsolicited medical inquiries are received by pharmaceutical...

0 Angelo Ziletti, et al. ∙

research

∙ 11/10/2020

Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion

Photo-to-caricature translation aims to synthesize the caricature as a r...

0 Yuhe Ding, et al. ∙

research

∙ 10/29/2020

Free-Form Image Inpainting via Contrastive Attention Network

Most deep learning based image inpainting approaches adopt autoencoder o...

14 Xin Ma, et al. ∙

research

∙ 10/19/2020

Inspection-on-the-fly using Hybrid Physical Interaction Control for Aerial Manipulators

Inspection for structural properties (surface stiffness and coefficient ...

0 Abbaraju Praveen, et al. ∙

research

∙ 12/21/2019

Style-based Variational Autoencoder for Real-World Super-Resolution

Real-world image super-resolution is a challenging image translation pro...

31 Xin Ma, et al. ∙

research

∙ 12/03/2019

Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity

Convolution Neural Network (CNN) recently have been adopted in several n...

0 Xin Ma, et al. ∙

research

∙ 11/25/2019

Fast and Incremental Loop Closure Detection Using Proximity Graphs

Visual loop closure detection, which can be considered as an image retri...

13 Shan An, et al. ∙

research

∙ 10/19/2019

Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity

Wind energy makes a significant contribution to global power generation....

0 Jie Xia, et al. ∙

research

∙ 10/09/2019

Semi-parametric Bayes Regression with Network Valued Covariates

There is an increasing recognition of the role of brain networks as neur...

0 Xin Ma, et al. ∙

research

∙ 08/04/2019

Improved GM(1,1) model based on Simpson formula and its applications

The classical GM(1,1) model is an efficient tool to make accurate foreca...

0 Xin Ma, et al. ∙

research

∙ 02/27/2019

Accurate Target Localization by using Artificial Pinnae of brown long-eared bat

Echolocating bats locate the targets by echolocation. Many theoretical f...

0 Sen Zhang, et al. ∙

research

∙ 10/25/2018

Batch Normalization Sampling

Deep Neural Networks (DNNs) thrive in recent years in which Batch Normal...

0 Zhaodong Chen, et al. ∙

research

∙ 09/28/2018

Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption

At present, the energy structure of China is shifting towards cleaner an...

0 Wenqing Wu, et al. ∙

research

∙ 09/22/2018

In-memory multiplication engine with SOT-MRAM based stochastic computing

Processing-in-memory (PIM) turns out to be a promising solution to break...

0 Xin Ma, et al. ∙

research

∙ 07/25/2018

Crossbar-aware neural network pruning

Crossbar architecture based devices have been widely adopted in neural n...

0 Ling Liang, et al. ∙

research

∙ 05/04/2018

The conformable fractional grey system model

The fractional order grey models (FGM) have appealed considerable intere...

0 Xin Ma, et al. ∙

research

∙ 05/04/2018

A brief introduction to the Grey Machine Learning

This paper presents a brief introduction to the key points of the Grey M...

0 Xin Ma, et al. ∙

Xin Ma

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