no code implementations • 11 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.
1 code implementation • 4 Mar 2024 • Haolin Deng, Chang Wang, Xin Li, Dezhang Yuan, Junlang Zhan, Tianhua Zhou, Jin Ma, Jun Gao, Ruifeng Xu
Enhancing the attribution in large language models (LLMs) is a crucial task.
1 code implementation • 19 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.
Ranked #1 on Image Retrieval on CBVS
no code implementations • 1 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.
1 code implementation • 16 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.
no code implementations • 18 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.
1 code implementation • 27 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.
1 code implementation • 27 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.
no code implementations • 26 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.
no code implementations • 22 Jun 2023 • Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu
The emergence of different sensors (Near-Infrared, Depth, etc.)
no code implementations • 30 May 2023 • Yanan Zhang, Weijie Cui, Yangfan Zhang, Xiaoling Bai, Zhe Zhang, Jin Ma, Xiang Chen, Tianhua Zhou
In search engines, query expansion (QE) is a crucial technique to improve search experience.
1 code implementation • 21 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.
1 code implementation • 7 Apr 2023 • Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma
T2Ranking comprises more than 300K queries and over 2M unique passages from real-world search engines.
no code implementations • 30 Jan 2023 • Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan
Vision-language alignment learning for video-text retrieval arouses a lot of attention in recent years.
1 code implementation • 16 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.
no code implementations • 20 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.
no code implementations • 2 Nov 2022 • Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou
To the best of our knowledge, it is currently the largest manually-annotated Chinese dataset for open event extraction.
1 code implementation • 27 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.
1 code implementation • 5 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?'.
no code implementations • 18 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.
no code implementations • 14 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.
no code implementations • 24 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.
1 code implementation • 30 Jul 2019 • Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang
Our data is the first dataset for inter-personal relationship extraction.
no code implementations • 10 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.
no code implementations • 16 Apr 2019 • Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Wenhai Liu, Jin Qi, Jin Ma
This paper focuses on robotic picking tasks in cluttered scenario.
1 code implementation • 22 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.
no code implementations • 14 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.