Search Results for author: Bin Jiang

Found 24 papers, 7 papers with code

Recursive Segmentation Living Image: An eXplainable AI (XAI) Approach for Computing Structural Beauty of Images or the Livingness of Space

no code implementations16 Oct 2023 Yao Qianxiang, Bin Jiang

This study introduces the concept of "structural beauty" as an objective computational approach for evaluating the aesthetic appeal of images.


Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation

no code implementations31 Aug 2023 Yang Liu, Xiaoyun Zhong, Shiyao Zhai, Zhicheng Du, Zhenyuan Gao, Qiming Huang, Canyang Zhang, Bin Jiang, Vijay Kumar Pandey, Sanyang Han, Runming Wang, Yuxing Han, Peiwu Qin

The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endeavors turn out to be fruitless on account of disqualification.

Action Segmentation Segmentation

Flocking control against the malicious agent

no code implementations8 Aug 2023 Chencheng Zhang, Hao Yang, Bin Jiang, Ming Cao

This paper investigates the flocking control of a swarm with a malicious agent that falsifies its controller parameters to cause collision, division, and escape of agents in the swarm.

Living Images: A Recursive Approach to Computing the Structural Beauty of Images or the Livingness of Space

no code implementations4 Jan 2023 Bin Jiang, Chris de Rijke

We applied the recursive approach to a set of images and found that (1) the number of substructures of an image is far lower (3 percent on average) than the number of pixels and the centroids of the substructures can effectively capture the skeleton or saliency of the image; (2) all the images have the recursive levels more than three, indicating that they are indeed living images; (3) no more than 2 percent of the substructures are decomposable; (4) structural beauty can be measured by the recursively defined substructures, as well as their decomposable subsets.

Learning to Dub Movies via Hierarchical Prosody Models

1 code implementation CVPR 2023 Gaoxiang Cong, Liang Li, Yuankai Qi, ZhengJun Zha, Qi Wu, Wenyu Wang, Bin Jiang, Ming-Hsuan Yang, Qingming Huang

Given a piece of text, a video clip and a reference audio, the movie dubbing (also known as visual voice clone V2C) task aims to generate speeches that match the speaker's emotion presented in the video using the desired speaker voice as reference.

LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning

2 code implementations journal 2022 Gaoxiang Cong, Liang Li, Zhenhuan Liu, Yunbin Tu, Weijun Qin, Shenyuan Zhang, Chengang Yan, Wenyu Wang, Bin Jiang

To address this issue, we propose a novel Long and Short term consistency reasoning Generative Adversarial Network (LS-GAN), which enhances the awareness of previous objects with current instruction and better maintains the consistency with the user's intent under the continuous iterations.

Generative Adversarial Network Image Manipulation

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

no code implementations6 May 2022 Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.

Computed Tomography (CT) Image Segmentation +3

Structural Beauty: A Structure-based Approach to Quantifying the Beauty of an Image

no code implementations16 Apr 2021 Bin Jiang, Chris de Rijke

Based on the concept of living structure, this paper develops an approach for computing the structural beauty or life of an image (L) based on the number of automatically derived substructures (S) and their inherent hierarchy (H).

Mechanical Vibrational Relaxation of NO on Metal and Insulator Surfaces: When and Why Are They Different?

no code implementations6 Jan 2021 Rongrong Yin, Bin Jiang

NO scattering from metallic and insulating surfaces represent contrasting benchmark systems for understanding energy transfer at gas-surface interface.

Materials Science Chemical Physics

Learning content and context with language bias for Visual Question Answering

1 code implementation21 Dec 2020 Chao Yang, Su Feng, Dongsheng Li, HuaWei Shen, Guoqing Wang, Bin Jiang

Many works concentrate on how to reduce language bias which makes models answer questions ignoring visual content and language context.

Question Answering Visual Question Answering

Determining the effect of hot electron dissipation on molecular scattering experiments at metal surfaces

no code implementations11 Oct 2020 Connor L. Box, Yaolong Zhang, Rongrong Yin, Bin Jiang, Reinhard J. Maurer

Nonadiabatic effects that arise from the concerted motion of electrons and atoms at comparable energy and time scales are omnipresent in thermal and light-driven chemistry at metal surfaces.

Materials Science Chemical Physics

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

1 code implementation ECCV 2020 Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.

Image Inpainting

Regularized L21-Based Semi-NonNegative Matrix Factorization

no code implementations10 May 2020 Anthony D. Rhodes, Bin Jiang

We present a general-purpose data compression algorithm, Regularized L21 Semi-NonNegative Matrix Factorization (L21 SNF).

BIG-bench Machine Learning Data Compression

One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block

no code implementations18 Dec 2019 Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang

However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.

Image Inpainting Texture Synthesis

Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network

no code implementations11 Dec 2019 Fangting Lin, Chao Yang, Huizhou Li, Bin Jiang

Recent deep learning based salient object detection methods which utilize both saliency and boundary features have achieved remarkable performance.

object-detection RGB Salient Object Detection +1

Constrained R-CNN: A general image manipulation detection model

no code implementations19 Nov 2019 Chao Yang, Huizhou Li, Fangting Lin, Bin Jiang, Hao Zhao

Finally, the coarse localization information guides the model to further learn the finer local features and segment out the tampered region.

General Classification Image Forensics +4

Context-Integrated and Feature-Refined Network for Lightweight Object Parsing

no code implementations26 Jul 2019 Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan

The core components of CIFReNet are the Long-skip Refinement Module (LRM) and the Multi-scale Context Integration Module (MCIM).

Scene Parsing Semantic Segmentation

Coherent Semantic Attention for Image Inpainting

1 code implementation ICCV 2019 Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang

The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image.

Image Inpainting

Defining Least Community as a Homogeneous Group in Complex Networks

no code implementations1 Feb 2015 Bin Jiang, Ding Ma

This notion of far more small things than large ones constitutes a new fundamental way of thinking for community detection.

Physics and Society Social and Information Networks Adaptation and Self-Organizing Systems

Head/tail Breaks: A New Classification Scheme for Data with a Heavy-tailed Distribution

1 code implementation13 Sep 2012 Bin Jiang

The heavy-tailed distributions are heavily right skewed, with a minority of large values in the head and a majority of small values in the tail, commonly characterized by a power law, a lognormal or an exponential function.

Data Analysis, Statistics and Probability Adaptation and Self-Organizing Systems Physics and Society

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