no code implementations • CCL 2022 • Yujiao Han, Zhiyong Luo, Mingming Zhang, Zhilin Zhao, Qing Zhang
“机器阅读理解(Machine Reading Comprehension, MRC)任务旨在让机器回答给定上下文的问题来测试机器理解自然语言的能力。目前, 基于大规模预训练语言模型的神经机器阅读理解模型已经取得重要进展, 但在涉及答案要素、线索要素和问题要素跨标点句、远距离关联时, 答案抽取的准确率还有待提升。本文通过篇章内话头话体结构分析, 建立标点句间远距离关联关系、补全共享缺失成分, 辅助机器阅读理解答案抽取;设计和实现融合话头话体结构信息的机器阅读理解模型, 在公开数据集CMRC2018上的实验结果表明, 模型的F1值相对于基线模型提升2. 4%, EM值提升6%。”
1 code implementation • 25 Dec 2024 • Chenxi Zhang, Qing Zhang, Jiayun Wu, Youwei Pang
To tackle these limitations, we introduce a novel task, class-guided camouflaged object detection (CGCOD), which extends traditional COD task by incorporating object-specific class knowledge to enhance detection robustness and accuracy.
no code implementations • 13 Dec 2024 • Jing Yang, Pratusha Bhuvana Prasad, Qing Zhang, Yajie Zhao
Accurately measuring the geometry and spatially-varying reflectance of real-world objects is a complex task due to their intricate shapes formed by concave features, hollow engravings and diverse surfaces, resulting in inter-reflection and occlusion when photographed.
no code implementations • 8 Dec 2024 • Qing Zhang, Haocheng Lv, Jie Liu, Zhiyun Chen, Jianyong Duan, Hao Wang, Li He, Mingying Xv
With the rise of large-scale language models (LLMs), it is currently popular and effective to convert multimodal information into text descriptions for multimodal multi-hop question answering.
no code implementations • 4 Dec 2024 • Qing Zhang, Hang Guo, Siyuan Yang, Qingli Li, Yan Wang
Given that multiple cell types exist across various organs, with subtle differences in cell size and shape, multi-organ, multi-class cell segmentation is particularly challenging.
no code implementations • 3 Dec 2024 • Qing Zhang, Zehao Chen, Jinguang Tong, Jing Zhang, Jie Hong, Xuesong Li
Despite recent advances in text-to-3D generation techniques, current methods often suffer from geometric inconsistencies, commonly referred to as the Janus Problem.
no code implementations • 10 Sep 2024 • Danli Shi, Weiyi Zhang, Jiancheng Yang, Siyu Huang, Xiaolan Chen, Mayinuer Yusufu, Kai Jin, Shan Lin, Shunming Liu, Qing Zhang, Mingguang He
Early detection of eye diseases like glaucoma, macular degeneration, and diabetic retinopathy is crucial for preventing vision loss.
no code implementations • 31 Jul 2024 • Jun Zhou, Dongyang Yu, Kamran Aziz, Fangfang Su, Qing Zhang, Fei Li, Donghong Ji
To address the challenges related to category semantic inclusion and overlap, a latent category distribution variable is introduced.
1 code implementation • 19 Jul 2024 • Yuxuan Zhang, Qing Zhang, Yiren Song, Jichao Zhang, Hao Tang, Jiaming Liu
In the second stage, we specifically designed a Hair Extractor and a Latent IdentityNet to transfer the target hairstyle with highly detailed and high-fidelity to the bald image.
no code implementations • 17 Jul 2024 • Zesong Jiang, Qing Zhang, Cheng Liu, Long Cheng, Huawei Li, Xiaowei Li
Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community.
1 code implementation • 18 Jun 2024 • Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang
However, the existing salient object detection (SOD) works only focus on either static RGB-D images or RGB videos, ignoring the collaborating of RGB-D and video information.
no code implementations • 28 May 2024 • Rui Zhang, Shuailong Li, Junxiao Xue, Feng Lin, Qing Zhang, Xiao Ma, Xiaoran Yan
Video recognition remains an open challenge, requiring the identification of diverse content categories within videos.
1 code implementation • CVPR 2024 • Junjin Xiao, Qing Zhang, Zhan Xu, Wei-Shi Zheng
The core of our approach is to represent humans in complementary dual spaces and predict disentangled neural fields of geometry, albedo, shadow, as well as an external lighting, from which we are able to derive realistic rendering with high-frequency details via volumetric rendering.
1 code implementation • 12 Mar 2024 • Yuxuan Zhang, Lifu Wei, Qing Zhang, Yiren Song, Jiaming Liu, Huaxia Li, Xu Tang, Yao Hu, Haibo Zhao
Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios.
1 code implementation • 3 Feb 2024 • Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai
Our key idea is that with multiple RoIs as input, we can estimate multiple local cameras and have the opportunity to design and apply additional constraints between cameras to improve the accuracy of the cameras and, in turn, the accuracy of the corresponding 3D mesh.
1 code implementation • 25 Jan 2024 • Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu, Xuemiao Xu
In this way, we obtain a meta-model, the meta-parameter of which is friendly to the test-time optimization.
1 code implementation • 24 Jan 2024 • Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai
Video Anomaly Detection (VAD) has been extensively studied under the settings of One-Class Classification (OCC) and Weakly-Supervised learning (WS), which however both require laborious human-annotated normal/abnormal labels.
no code implementations • 21 Dec 2023 • Qing Zhang, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Huawei Li, Xiaowei Li
Fault-tolerant deep learning accelerator is the basis for highly reliable deep learning processing and critical to deploy deep learning in safety-critical applications such as avionics and robotics.
1 code implementation • ICCV 2023 • Gang Fu, Qing Zhang, Lei Zhu, Chunxia Xiao, Ping Li
This paper aims to remove specular highlights from a single object-level image.
no code implementations • 28 Jul 2023 • Ruyi Liu, Jingzhi Tie, Zhen Wu, Qing Zhang
In pairs trading, a long position is held in one stock while a short position is held in another.
no code implementations • 5 Jul 2023 • Guangrui Yang, Lihua Yang, Qing Zhang, Zhihua Yang
Recently, a recommendation algorithm based on the graph Laplacian regularization was proposed, which treats the prediction problem of the recommendation system as a reconstruction issue of small samples of the graph signal under the same graph model.
no code implementations • 11 May 2023 • Qing Zhang, Hao Jiang, Yongwei Nie, Wei-Shi Zheng
We present a simple but effective technique to smooth out textures while preserving the prominent structures.
1 code implementation • CVPR 2023 • HsiaoYuan Hsu, Xiangteng He, Yuxin Peng, Hao Kong, Qing Zhang
Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to automatic template-free creative graphic design.
no code implementations • 23 Feb 2023 • Ling Li, Bandara Dissanayake, Tatsuya Omotezako, Yunjie Zhong, Qing Zhang, Rizhao Cai, Qian Zheng, Dennis Sng, Weisi Lin, YuFei Wang, Alex C Kot
In this paper, we propose the first simulation model to reveal facial pore changes after using skincare products.
1 code implementation • 10 Feb 2023 • Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
Confounding bias arises due to the presence of unmeasured variables (e. g., the socio-economic status of a user) that can affect both a user's exposure and feedback.
1 code implementation • CVPR 2023 • Ling Zhang, Yinghao He, Qing Zhang, Zheng Liu, Xiaolong Zhang, Chunxia Xiao
In this paper, we present a color-aware background extraction network (CBENet) for extracting a spatially varying background image that accurately depicts the background colors of the document.
2 code implementations • 15 Jul 2022 • Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
In this paper, we propose a novel sampling strategy for sampling very diverse results from an imbalanced multimodal distribution learned by a deep generative model.
Ranked #2 on
Human Pose Forecasting
on HumanEva-I
no code implementations • 1 Apr 2022 • Lihua Yang, Qing Zhang, Qian Zhang, Chao Huang
In order to establish the theory of filtering, windowed Fourier transform and wavelet transform in the setting of graph signals, we need to extend the shift operation of classical signals to graph signals.
1 code implementation • CVPR 2022 • Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
This motivates us to propose a novel two-stage prediction framework, including an init-prediction network that just computes the good guess and then a formal-prediction network that predicts the target future poses based on the guess.
Ranked #10 on
Human Pose Forecasting
on Human3.6M
no code implementations • 19 Dec 2021 • Bin Xie, Qing Zhang
The idea is to train a neural network with Monte Carlo samples generated from a nominal dynamic model.
no code implementations • 12 Dec 2021 • Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, Xueying Zeng, Qing Zhang
Two vascular stenosis detection methods are proposed to assist the diagnosis.
1 code implementation • ICCV 2021 • Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
In this paper, we propose $\text{HF}^2$-VAD, a Hybrid framework that integrates Flow reconstruction and Frame prediction seamlessly to handle Video Anomaly Detection.
Ranked #1 on
Video Anomaly Detection
on Ped2
1 code implementation • ICCV 2021 • Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
The extracted features at each scale are then combined and decoded to obtain the residuals between the input and target poses.
Ranked #13 on
Human Pose Forecasting
on Human3.6M
1 code implementation • 6 Aug 2021 • Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng
Our DID-Net predicts the three component maps by progressively integrating features across scales, and refines each map by passing an independent refinement network.
Ranked #8 on
Image Dehazing
on Haze4k
no code implementations • 3 Aug 2021 • Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, Xueying Zeng, Qing Zhang
Two vascular stenosis detection methods are proposed to assist the diagnosis.
1 code implementation • CVPR 2021 • Gang Fu, Qing Zhang, Lei Zhu, Ping Li, Chunxia Xiao
Specular highlight detection and removal are fundamental and challenging tasks.
no code implementations • 7 May 2021 • Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, SungJun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, ZiRui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
no code implementations • 11 Mar 2021 • Chenhaoping Wen, Jingjing Gao, Yuan Xie, Qing Zhang, Pengfei Kong, Jinghui Wang, Yilan Jiang, Xuan Luo, Jun Li, Wenjian Lu, Yu-Ping Sun, Shichao Yan
In contrast, in bulk 1T-TaS$_2$, there is an interlayer CDW coupling induced insulating gap.
Mesoscale and Nanoscale Physics Materials Science
no code implementations • 12 Jan 2021 • Clifton Cunningham, Andrew Fiori, Qing Zhang
In this paper, we review the Langlands correspondence for unipotent representations of the exceptional group of type $G_2$ over a $p$-adic field $F$ and present it in an explicit form.
Representation Theory Algebraic Geometry 11F70 (Primary) 22E50, 32S30, 32S60 (Secondary)
no code implementations • 6 Dec 2020 • Zichu Liu, Qing Zhang, Pei Wang, Yaxin Li, Jingqian Sun
The point cloud data of ten trees were tested by using the proposed method and a manual selection method.
1 code implementation • 10 Oct 2020 • Gang Fu, Qing Zhang, QiFeng Lin, Lei Zhu, and Chunaxia Xiao
Specular highlight detection is a challenging problem, and has many applications such as shiny object detection and light source estimation.
no code implementations • 28 Feb 2020 • Zichu Liu, Qing Zhang, Pei Wang, Zhen Li, Huiru Wang
A classification method was proposed to classify the leaves and stems of potted plants automatically based on the point cloud data of the plants, which is a nondestructive acquisition.
no code implementations • 30 Jan 2020 • Xiuxian Xu, Pei Wang, Xiaozheng Gan, Ya-Xin Li, Li Zhang, Qing Zhang, Mei Zhou, Yinghui Zhao, Xinwei Li
In coarse registration, point clouds produced by each scan are projected onto a spherical surface to generate a series of two-dimensional (2D) images, which are used to estimate the initial positions of multiple scans.
no code implementations • 9 Nov 2019 • Yinpeng Guo, Yi Liao, Xin Jiang, Qing Zhang, Yibo Zhang, Qun Liu
Leveraging multilingual parallel texts to automatically generate paraphrases has drawn much attention as size of high-quality paraphrase corpus is limited.
2 code implementations • 30 Oct 2019 • Qing Zhang, Yongwei Nie, Wei-Shi Zheng
By performing dual illumination estimation, we obtain two intermediate exposure correction results for the input image, with one fixes the underexposed regions and the other one restores the overexposed regions.
no code implementations • 25 Jul 2019 • Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, Wei-Shi Zheng
To obtain high-quality results free of these artifacts, we present a novel underexposed photo enhancement approach that is able to maintain the perceptual consistency.
no code implementations • 21 Nov 2018 • Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei. Lin
In this method, the network is viewed as a computational graph, in which the vertices denote the computation nodes and edges represent the information flow.
no code implementations • 21 Nov 2018 • Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu
In this paper, we propose a novel integrated framework for learning both text detection and recognition.
no code implementations • 20 Nov 2018 • Donghui Sun, Qing Zhang, Jun Yang
The generator is built using one encoder-decoder structure with cascaded refinement connections and mirror skip connections.
1 code implementation • 22 Oct 2018 • Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legrand
The application to search ranking is one of the biggest machine learning success stories at Airbnb.
no code implementations • 18 Jun 2018 • Son N. Tran, Qing Zhang, Mohan Karunanithi
Increasing attention to the research on activity monitoring in smart homes has motivated the employment of ambient intelligence to reduce the deployment cost and solve the privacy issue.
no code implementations • EMNLP 2017 • Qing Zhang, Houfeng Wang
For the task of relation extraction, distant supervision is an efficient approach to generate labeled data by aligning knowledge base with free texts.
no code implementations • 3 Mar 2017 • Steve T. K. Jan, Chun Wang, Qing Zhang, Gang Wang
Community-based question answering (CQA) services are facing key challenges to motivate domain experts to provide timely answers.
no code implementations • CVPR 2014 • Qing Zhang, Bo Fu, Mao Ye, Ruigang Yang
In this paper we present a novel autonomous pipeline to build a personalized parametric model (pose-driven avatar) using a single depth sensor.