Search Results for author: Jin Ma

Found 27 papers, 12 papers with code

Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review

no code implementations11 Mar 2024 Yinyan Liu, Yi Wang, Jin Ma

Non-Intrusive Load Monitoring (NILM) is pivotal in today's energy landscape, offering vital solutions for energy conservation and efficient management.

Management Non-Intrusive Load Monitoring

CBVS: A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search Scenarios

1 code implementation19 Jan 2024 Xiangshuo Qiao, Xianxin Li, Xiaozhe Qu, Jie Zhang, Yang Liu, Yu Luo, Cihang Jin, Jin Ma

Differently, video covers in short video search scenarios are presented as user-originated contents that provide important visual summaries of videos.

Common Sense Reasoning Image Retrieval

Event-driven Real-time Retrieval in Web Search

no code implementations1 Dec 2023 Nan Yang, Shusen Zhang, Yannan Zhang, Xiaoling Bai, Hualong Deng, Tianhua Zhou, Jin Ma

The Event information is then integrated with the query through a cross-attention mechanism, resulting in a time-context query representation.

Information Retrieval Retrieval

Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution

1 code implementation16 Sep 2023 Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang

Additionally, we introduce the MLP-based Sequential Residual Block (MSRB) for robust feature extraction from text images, and a Local Contour Awareness loss ($\mathcal{L}_{lca}$) to enhance the model's perception of details.

Graph Attention Image Super-Resolution

Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather

no code implementations18 Jul 2023 Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu

To bridge the domain gap and improve the performance of object detectionin foggy and rainy weather, this paper presents a novel framework for domain-adaptive object detection.

Autonomous Driving Data Augmentation +4

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

1 code implementation27 Jun 2023 Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan

Adversarial training is one of the best-performing methods in improving the robustness of deep language models.

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection

1 code implementation27 Jun 2023 Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan

Detecting adversarial samples that are carefully crafted to fool the model is a critical step to socially-secure applications.

text-classification Text Classification

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey

no code implementations26 Jun 2023 Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu

To the best of our knowledge, this paper represents the first comprehensive survey on the topic of the deep transfer learning for intelligent vehicle perception.

Autonomous Driving Decision Making +2

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition

1 code implementation21 May 2023 Limao Xiong, Jie zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan

Particularly, we propose a Confidence-based Partial Label Learning (CPLL) method to integrate the prior confidence (given by annotators) and posterior confidences (learned by models) for crowd-annotated NER.

named-entity-recognition Named Entity Recognition +2

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

1 code implementation16 Dec 2022 Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Zicheng Chi, Jiaqi Ma, Hongkai Yu

Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the deep learning based features from other agents can be shared to the ego vehicle so as to improve the perception of the ego vehicle.

3D Object Detection object-detection

Coarse-to-fine Task-driven Inpainting for Geoscience Images

no code implementations20 Nov 2022 Huiming Sun, Jin Ma, Qing Guo, Qin Zou, Shaoyue Song, Yuewei Lin, Hongkai Yu

To the best of our knowledge, all the existing image inpainting algorithms learn to repair the occluded regions for a better visualization quality, they are excellent for natural images but not good enough for geoscience images by ignoring the geoscience related tasks.

Data Augmentation Image Inpainting +2

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

1 code implementation27 Oct 2022 Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu

This paper proposes a novel domain adaptive object detection framework for autonomous driving under foggy weather.

Autonomous Driving Data Augmentation +4

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding

1 code implementation5 Aug 2022 Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang

However, in most of the public visual question answering datasets such as VQA, CLEVR, the questions are human generated that specific to the given image, such as `What color are her eyes?'.

Image Retrieval Question Answering +2

Boosting Image Outpainting with Semantic Layout Prediction

no code implementations18 Oct 2021 Ye Ma, Jin Ma, Min Zhou, Quan Chen, Tiezheng Ge, Yuning Jiang, Tong Lin

Secondly, another GAN model is trained to synthesize real images based on the extended semantic layouts.

Image Outpainting Semantic Segmentation

Out-of-Step Detection Based On an Improved Line Potential Energy Criterion

no code implementations14 Apr 2021 Xiao Li, Chongru Liu, Jin Ma

The line potential energy in the cutset is used as the criterion for monitoring the generator instability, but the criterion has the following two limitations due to narrowly defined conditions.

Research on False Data Injection Attacks in VSC-HVDC Systems

no code implementations24 Feb 2021 Tong Han, Yanbo Chen, Jin Ma

Firstly, the general form of the model of FDI attack strategies is proposed and the essence of the problem of FDI attack strategies is further analyzed.

Bayesian Optimized Continual Learning with Attention Mechanism

no code implementations10 May 2019 Ju Xu, Jin Ma, Zhanxing Zhu

Though neural networks have achieved much progress in various applications, it is still highly challenging for them to learn from a continuous stream of tasks without forgetting.

Bayesian Optimization Continual Learning

Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval

1 code implementation22 May 2018 Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez

We show that by considering each deep feature as a heat source, our unsupervised aggregation method is able to avoid over-representation of \emph{bursty} features.

Image Retrieval Re-Ranking +1

Fast Stability Scanning for Future Grid Scenario Analysis

no code implementations14 Dec 2016 Ruidong Liu, Gregor Verbic, Jin Ma

Future grid scenario analysis requires a major departure from conventional power system planning, where only a handful of most critical conditions is typically analyzed.

Clustering feature selection +2

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