no code implementations • ECCV 2020 • Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He
We reformulate the problem of detecting and tracking of salient object spots as a new task called object hotspot tracking.
no code implementations • 27 May 2024 • ShengJie Liu, Lu Zhang
Experiments on two AOD datasets with real-world cloud patterns showed that the proposed method outperformed deep CNN and random forest, achieving R$^2$ of 0. 7431 on MODIS AOD and R$^2$ of 0. 9211 on EMIT AOD, compared to deep CNN's R$^2$ of 0. 6507 and R$^2$ of 0. 8619.
no code implementations • 2 May 2024 • Lu Zhang, Xiaomeng Zhang, Xinyu Zhang
This paper enhances our comprehension of the Distributional Synthetic Control (DSC) proposed by Gunsilius (2023), focusing on its asymptotic properties.
no code implementations • 4 Apr 2024 • Beibei Wang, Shuang Meng, Lu Zhang, Chenjie Wang, Jingjing Huang, Yao Li, Haojie Ren, Yuxuan Xiao, Yuru Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang
Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development.
no code implementations • 27 Mar 2024 • Siavash Jafarzadeh, Stewart Silling, Lu Zhang, Colton Ross, Chung-Hao Lee, S. M. Rakibur Rahman, Shuodao Wang, Yue Yu
Then, in the second phase we reinitialize the learnt bond force and the kernel function, and training them together with a fiber orientation field for each material point.
1 code implementation • 18 Mar 2024 • Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset.
1 code implementation • 11 Mar 2024 • Tiancheng Zhao, Peng Liu, Xuan He, Lu Zhang, Kyusong Lee
End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities.
1 code implementation • 4 Feb 2024 • Lu Zhang, Peiliang Li, Sikang Liu, Shaojie Shen
This paper presents a Simple and effIcient Motion Prediction baseLine (SIMPL) for autonomous vehicles.
1 code implementation • 20 Jan 2024 • Yaowei Hu, Yongkai Wu, Lu Zhang
This paper studies long-term fair machine learning which aims to mitigate group disparity over the long term in sequential decision-making systems.
1 code implementation • 12 Jan 2024 • Yaowei Hu, Jacob Lear, Lu Zhang
While significant advancements have been made in the field of fair machine learning, the majority of studies focus on scenarios where the decision model operates on a static population.
1 code implementation • 18 Dec 2023 • Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Lu Zhang, Yue Yu
In this work, we introduce conservation law-encoded neural operators (clawNOs), a suite of NOs that endow inference with automatic satisfaction of such conservation laws.
no code implementations • 14 Dec 2023 • Zhuoyifan Zhang, Lu Zhang, Liang Wang, Haoming Wu
The research on neural radiance fields for new view synthesis has experienced explosive growth with the development of new models and extensions.
no code implementations • 10 Nov 2023 • Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu
GPT-4V represents a breakthrough in artificial general intelligence (AGI) for computer vision, with applications in the biomedical domain.
no code implementations • 2 Nov 2023 • Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
To tackle this issue, we propose a method to abstract the collective information of atomic groups into a few $\textit{Neural Atoms}$ by implicitly projecting the atoms of a molecular.
no code implementations • 29 Oct 2023 • Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
In this work, we first propose a fully differentiable Many-to-Many (M2M) splatting framework to interpolate frames efficiently.
no code implementations • 20 Oct 2023 • Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
However, two roadblocks arise for training a DRL policy that outputs paths: (1) The action space for potential paths often involves higher dimensions comparing to low-level commands, which increases the difficulties of training; (2) It takes multiple time steps to track a path instead of a single time step, which requires the path to predicate the interactions of the robot w. r. t.
no code implementations • 8 Oct 2023 • Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.
no code implementations • 4 Oct 2023 • Siyuan Yang, Lu Zhang, Liqian Ma, Yu Liu, Jingjing Fu, You He
In this paper, we propose MagicRemover, a tuning-free method that leverages the powerful diffusion models for text-guided image inpainting.
no code implementations • 28 Sep 2023 • Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Anomaly detection in multivariate time series has received extensive study due to the wide spectrum of applications.
3 code implementations • 19 Sep 2023 • Xiaowei Yu, Zhe Huang, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
Herein, we use the information entropy to define the complexity of the task.
Ranked #269 on Image Classification on ImageNet
no code implementations • 2 Sep 2023 • Yang Cui, Han Zhu, Yijian Wang, Lu Zhang, Yang Li
In this method, feature extraction module is composed of a two-dimensional convolutional neural network, which is used to mine the local correlation between data and obtain high-dimensional data features.
no code implementations • ICCV 2023 • Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou
Zero-shot object detection aims to localize and recognize objects of unseen classes.
1 code implementation • 18 Aug 2023 • Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
Particularly, a city-level correlation strategy is devised to attentively capture common patterns among cities, so as to transfer more relevant knowledge from more correlated cities.
1 code implementation • 26 Jul 2023 • Jiawen Zhu, Zhenyu Chen, Zeqi Hao, Shijie Chang, Lu Zhang, Dong Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Hanyuan Chen, Chenyang Li
To further improve the quality of tracking masks, a pretrained MR model is employed to refine the tracking results.
Ranked #5 on Semi-Supervised Video Object Segmentation on YouTube-VOS 2019 (using extra training data)
1 code implementation • 25 Jul 2023 • Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP).
1 code implementation • 18 Jul 2023 • Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Instead of modelling statistics of features globally (i. e., by the covariance matrix of features), we learn a global field dependency matrix that captures dependencies between fields and then we refine the global field dependency matrix at the instance-wise level with different weights (so-called local dependency modelling) w. r. t.
no code implementations • 10 Jul 2023 • Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu
With the popularity of deep neural networks (DNNs), model interpretability is becoming a critical concern.
no code implementations • 3 Jul 2023 • Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Diez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Alzheimer's disease (AD) is a neurodegenerative disorder that is beginning with amyloidosis, followed by neuronal loss and deterioration in structure, function, and cognition.
no code implementations • 20 Jun 2023 • Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu
Given that SAM, a model pre-trained purely on natural images, can handle the delineation of OARs from medical images with clinically acceptable accuracy, these results highlight SAM's robust generalization capabilities with consistent accuracy in automatic segmentation for radiotherapy.
no code implementations • 8 Jun 2023 • Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkun Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen
In this review, we explore the potential applications of Artificial General Intelligence (AGI) models in healthcare, focusing on foundational Large Language Models (LLMs), Large Vision Models, and Large Multimodal Models.
1 code implementation • 5 Jun 2023 • Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
We construct a local-global context guidance strategy to capture the multi-perceptual embedding of the past fragment to boost the consistency of future prediction.
1 code implementation • 4 Jun 2023 • Shijie Chang, Zeqi Hao, Ben Kang, Xiaoqi Zhao, Jiawen Zhu, Zhenyu Chen, Lihe Zhang, Lu Zhang, Huchuan Lu
In this paper, we introduce 3rd place solution for PVUW2023 VSS track.
no code implementations • 29 Apr 2023 • Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang
Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downstream tasks.
no code implementations • 18 Apr 2023 • Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
To this end, in this study, we evaluate the performance of ChatGPT/GPT-4 on a radiology NLI task and compare it to other models fine-tuned specifically on task-related data samples.
no code implementations • 6 Apr 2023 • Lu Zhang, Ning Wu
Due to the naturally power-law distributed nature of user-item interaction data in recommendation tasks, hyperbolic space modeling has recently been introduced into collaborative filtering methods.
no code implementations • 28 Mar 2023 • Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu
Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do.
no code implementations • 27 Mar 2023 • Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu
Designing more efficient, reliable, and explainable neural network architectures is critical to studies that are based on artificial intelligence (AI) techniques.
1 code implementation • 20 Mar 2023 • Zhengliang Liu, Yue Huang, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Yiwei Li, Peng Shu, Fang Zeng, Lichao Sun, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li
The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy.
no code implementations • 7 Mar 2023 • Siqi Zhang, Lu Zhang, Zhiyong Liu, Hangtao Feng
Domain adaptive object detection (DAOD) aims to adapt the detector from a labelled source domain to an unlabelled target domain.
no code implementations • 7 Mar 2023 • Siqi Zhang, Lu Zhang, Zhiyong Liu
Domain adaptive object detection (DAOD) assumes that both labeled source data and unlabeled target data are available for training, but this assumption does not always hold in real-world scenarios.
1 code implementation • 4 Mar 2023 • Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Ensuring fairness in anomaly detection models has received much attention recently as many anomaly detection applications involve human beings.
no code implementations • 9 Feb 2023 • Rafael Puerta, Mengyao Han, Mahdieh Joharifar, Richard Schatz, Yan-Ting Sun, Yuchuan Fan, Anders Djupsjöbacka, Grégory Maisons, Johan Abautret, Roland Teissier, Lu Zhang, Sandis Spolitis, Muguang Wang, Vjaceslavs Bobrovs, Sebastian Lourdudoss, Xianbin Yu, Sergei Popov, Oskars Ozolins, Xiaodan Pang
We experimentally test the compliance with 5G/NR 3GPP technical specifications of an analog radio-over-FSO link at 9 {\mu}m. The ACLR and EVM transmitter requirements are fulfilled validating the suitability of LWIR FSO for 6G fronthaul.
no code implementations • 31 Jan 2023 • Xiaowei Yu, Lu Zhang, Haixing Dai, Lin Zhao, Yanjun Lyu, Zihao Wu, Tianming Liu, Dajiang Zhu
To solve this fundamental problem, we design a novel Twin-Transformer framework to unveil the unique functional roles of gyri and sulci as well as their relationship in the whole brain function.
no code implementations • 28 Jan 2023 • Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu
Gradient-based meta-learning methods have primarily been applied to classical machine learning tasks such as image classification.
no code implementations • 14 Dec 2022 • Rafael Rodrigues, Lucie Lévêque, Jesús Gutiérrez, Houda Jebbari, Meriem Outtas, Lu Zhang, Aladine Chetouani, Shaymaa Al-Juboori, Maria Martini, Antonio M. G. Pinheiro
Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization.
1 code implementation • 8 Dec 2022 • Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
After that, we further propose an anomaly mitigation approach that aims to recommend mitigation actions on abnormal features to revert the abnormal outcomes such that the counterfactuals guided by the causal mechanism are normal.
1 code implementation • 12 Nov 2022 • Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
Many word-level adversarial attack approaches for textual data have been proposed in recent studies.
no code implementations • 4 Nov 2022 • Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, HaiYan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wangg, Dong Liang, Tianye Niu, Xiaohua Zhuc, Zhanli Hua
In this paper, we propose a deep learning segmentation method based on multimodal positron emission tomography-computed tomography (PET-CT), which combines the high sensitivity of PET and the precise anatomical information of CT. We design an improved spatial attention network(ISA-Net) to increase the accuracy of PET or CT in detecting tumors, which uses multi-scale convolution operation to extract feature information and can highlight the tumor region location information and suppress the non-tumor region location information.
no code implementations • 27 Oct 2022 • Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu
Visual attention is a fundamental mechanism in the human brain, and it inspires the design of attention mechanisms in deep neural networks.
no code implementations • 17 Oct 2022 • Kui Ren, Lu Zhang
The task of simultaneously reconstructing multiple physical coefficients in partial differential equations from observed data is ubiquitous in applications.
1 code implementation • 8 Oct 2022 • Lu Zhang, Yang Wang, Jiaogen Zhou, Chenbo Zhang, Yinglu Zhang, Jihong Guan, Yatao Bian, Shuigeng Zhou
In this paper, we propose and solve a new problem called hierarchical few-shot object detection (Hi-FSOD), which aims to detect objects with hierarchical categories in the FSOD paradigm.
no code implementations • 1 Oct 2022 • Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima Nasrallah, Shekhar S. Chandra
The model uses a novel Cascaded Modality Transformer architecture with cross-attention to incorporate multi-modal information for more informed predictions.
1 code implementation • 1 Sep 2022 • Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
Being equipped with three modules (i. e., global user behavior encoder, local multi-channel encoder, and region-aware weighting strategy), MCMG is capable of capturing both fine- and coarse-grained sequential regularities as well as exploring the dynamic impact of multi-channel by differentiating the region check-in patterns.
1 code implementation • 1 Aug 2022 • Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu
In the first stage, we obtain a robust feature extractor, which could serve for all images with base and novel categories.
1 code implementation • 11 Jul 2022 • Jianan Chen, Lu Zhang, Qiong Wang, Cong Bai, Kidiyo Kpalma
Cross-modal retrieval has drawn much attention in both computer vision and natural language processing domains.
no code implementations • 22 Jun 2022 • Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
However, whether there exists semantic correlations/connections between the visual representations in ANNs and those in BNNs remains largely unexplored due to both the lack of an effective tool to link and couple two different domains, and the lack of a general and effective framework of representing the visual semantics in BNNs such as human functional brain networks (FBNs).
1 code implementation • 15 Jun 2022 • Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu
Object goal visual navigation is a challenging task that aims to guide a robot to find the target object based on its visual observation, and the target is limited to the classes pre-defined in the training stage.
no code implementations • 4 Jun 2022 • Lu Zhang, Huaiqian You, Yue Yu
We propose MetaNOR, a meta-learnt approach for transfer-learning operators based on the nonlocal operator regression.
no code implementations • 26 May 2022 • Lu Zhang, Xiaowei Yu, Yanjun Lyu, Zhengwang Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Tianming Liu, Dajiang Zhu
Our experimental results show that: 1) the learned embedding vectors can quantitatively encode the commonality and individuality of cortical folding patterns; 2) with the embeddings we can robustly infer the complicated many-to-many anatomical correspondences among different brains and 3) our model can be successfully transferred to new populations with very limited training samples.
no code implementations • 25 May 2022 • Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu
To address this problem, we propose to infuse human experts' intelligence and domain knowledge into the training of deep neural networks.
no code implementations • 20 May 2022 • Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang
However, for data-intensive models such as vision transformer (ViT), current fine-tuning based FSL approaches are inefficient in knowledge generalization and thus degenerate the downstream task performances.
no code implementations • 20 May 2022 • Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang
The key characteristic of these ViT models is to adopt different aggregation strategies of spatial patch information within the artificial neural networks (ANNs).
1 code implementation • 28 Apr 2022 • Lianqing Zheng, Zhixiong Ma, Xichan Zhu, Bin Tan, Sen Li, Kai Long, Weiqi Sun, Sihan Chen, Lu Zhang, Mengyue Wan, Libo Huang, Jie Bai
The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving.
no code implementations • NAACL 2022 • Minyi Zhao, Lu Zhang, Yi Xu, Jiandong Ding, Jihong Guan, Shuigeng Zhou
However, to the best of our knowledge, most existing methods consider only either the diversity or the quality of augmented data, thus cannot fully mine the potential of DA for NLP.
no code implementations • 21 Apr 2022 • Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu
In this paper, we emphasize the adaptation process across sim2real domains and model it as a learning problem on the BatchNorm parameters of a simulation-trained model.
no code implementations • 21 Apr 2022 • Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao
In this article, we propose a general multimodal detector named aligned region CNN (AR-CNN) to tackle the position shift problem.
no code implementations • 20 Apr 2022 • Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu
In this work, we propose a novel Twin-Transformers framework to simultaneously infer common and individual functional networks in both spatial and temporal space, in a self-supervised manner.
1 code implementation • 4 Apr 2022 • Yaowei Hu, Lu Zhang
The problem of fair sequential decision making is then formulated as a constrained optimization problem with the utility as the objective and the long-term and short-term fairness as constraints.
no code implementations • 27 Mar 2022 • Tianying Liu, Lu Zhang, Yang Wang, Jihong Guan, Yanwei Fu, Jiajia Zhao, Shuigeng Zhou
To this end, the Few-Shot Object Detection (FSOD) has been topical recently, as it mimics the humans' ability of learning to learn, and intelligently transfers the learned generic object knowledge from the common heavy-tailed, to the novel long-tailed object classes.
no code implementations • 18 Mar 2022 • Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
Series photo selection (SPS) is an important branch of the image aesthetics quality assessment, which focuses on finding the best one from a series of nearly identical photos.
no code implementations • 15 Mar 2022 • Zehua Zhang, Lu Zhang, Xuyi Zhuang, Yukun Qian, Heng Li, Mingjiang Wang
In recent years, deep learning-based approaches have significantly improved the performance of single-channel speech enhancement.
no code implementations • 10 Mar 2022 • Yun Xiang, Qijun Chen, Zhongjin Su, Lu Zhang, Zuohui Chen, Guozhi Zhou, Zhuping Yao, Qi Xuan, Yuan Cheng
Cherry tomato (Solanum Lycopersicum) is popular with consumers over the world due to its special flavor.
1 code implementation • 24 Jan 2022 • Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
AI-aided drug discovery (AIDD) is gaining increasing popularity due to its promise of making the search for new pharmaceuticals quicker, cheaper and more efficient.
no code implementations • 1 Dec 2021 • Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James Elder, Huchuan Lu
TFFM conducts a sufficient feature fusion by integrating features from multiple scales and two modalities over all positions simultaneously.
1 code implementation • 9 Nov 2021 • Qiulin Wang, Lu Zhang, Bo Li
On the other hand, some area of the generated image might be occluded in the source image, which makes it difficult for GAN to generate realistic appearance.
1 code implementation • 2 Nov 2021 • Lu Zhang, Peiliang Li, Jing Chen, Shaojie Shen
In this paper, we present a graph-based trajectory prediction network named the Dual Scale Predictor (DSP), which encodes both the static and dynamical driving context in a hierarchical manner.
no code implementations • NeurIPS 2021 • Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou
Extensive experiments on four standard SSL benchmarks show that DP-SSL can provide reliable labels for unlabeled data and achieve better classification performance on test sets than existing SSL methods, especially when only a small number of labeled samples are available.
1 code implementation • EMNLP 2021 • Lu Zhang, Jiandong Ding, Yi Xu, Yingyao Liu, Shuigeng Zhou
Among them, keyword-driven methods are the mainstream where user-provided keywords are exploited to generate pseudo-labels for unlabeled texts.
no code implementations • 21 Sep 2021 • Wen Huang, Lu Zhang, Xintao Wu
In online recommendation, customers arrive in a sequential and stochastic manner from an underlying distribution and the online decision model recommends a chosen item for each arriving individual based on some strategy.
no code implementations • 2 Sep 2021 • Chao Yang, Debajyoti Chowdhury, Zhenmiao Zhang, William K. Cheung, Aiping Lu, Zhao Xiang Bian, Lu Zhang
Metagenomics has equipped us with new avenues of investigating the microbiome, from studying a single species to a complex community in a dynamic ecosystem.
1 code implementation • 27 Aug 2021 • Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang
Since a declarative language is typically embedded in an imperative language (i. e., the turducken-style programming) in real-world software development, the promising results on declarative languages can hardly lead to significant reduction of manual software development efforts.
no code implementations • 11 Aug 2021 • Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19.
5 code implementations • 9 Aug 2021 • Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari
Pathfinder returns draws from the approximation with the lowest estimated Kullback-Leibler (KL) divergence to the true posterior.
1 code implementation • 14 Jul 2021 • Lu Zhang, Chenxing Li, Feng Deng, Xiaorui Wang
In detail, the proposed model follows a two-stage pipeline, which separates the three types of audio signals and then performs signal compensation separately.
Ranked #1 on Multi-task Audio Source Seperation on MTASS
Audio Source Separation Multi-task Audio Source Seperation +3
no code implementations • 9 Jul 2021 • Lu Zhang, Mingjiang Wang, Andong Li, Zehua Zhang, Xuyi Zhuang
In this study, we make full use of the contribution of multi-target joint learning to the model generalization capability, and propose a lightweight and low-computing dilated convolutional network (DCN) model for a more robust speech denoising task.
no code implementations • 9 Jul 2021 • Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui
In this paper, we raise the problem of HCC segmentation in DSA videos, and build our own DSA dataset.
no code implementations • CVPR 2021 • Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang
Most object detection methods require huge amounts of annotated data and can detect only the categories that appear in the training set.
1 code implementation • 15 Jun 2021 • Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, Lu Zhang
Our results show that Recoder repairs 53 bugs on Defects4J v1. 2, which achieves 21. 4% improvement over the previous state-of-the-art approach for single-hunk bugs (TBar).
no code implementations • 14 Jun 2021 • Lu Zhang, Xiaowei Yu, Yanjun Lyu, Li Wang, Dajiang Zhu
By mapping the learned clinical group related feature vectors to the original FC space, representative FCs were constructed for each group.
no code implementations • 9 Jun 2021 • Lu Zhang, Mingjiang Wang, Zehua Zhang, Xuyi Zhuang
In this paper, we propose a multi-branch dilated convolutional network (DCN) to simultaneously enhance the magnitude and phase of noisy speech.
1 code implementation • 24 May 2021 • Yi Zhang, Lu Zhang, Kang Wang, Wassim Hamidouche, Olivier Deforges
Salient human detection (SHD) in dynamic 360{\deg} immersive videos is of great importance for various applications such as robotics, inter-human and human-object interaction in augmented reality.
no code implementations • 22 May 2021 • Lu Zhang, Bin Wang, Vivek Sarin, Weiping Shi, P. R. Kumar, Le Xie
In power system dynamic simulation, up to 90% of the computational time is devoted to solve the network equations, i. e., a set of linear equations.
1 code implementation • 3 May 2021 • Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Deforges
In the past few years, numerous deep learning methods have been proposed to address the task of segmenting salient objects from RGB images.
1 code implementation • 28 Apr 2021 • Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Deforges, Wassim Hamidouche, Lu Zhang
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms.
1 code implementation • 19 Apr 2021 • Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
This paper introduces a practical learned video codec.
no code implementations • ICLR Workshop Neural_Compression 2021 • Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
This paper introduces a novel framework for end-to-end learned video coding.
1 code implementation • 23 Feb 2021 • Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
Existing graph neural networks (GNNs) largely rely on node embeddings, which represent a node as a vector by its identity, type, or content.
no code implementations • 13 Feb 2021 • Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
By disease em-bedding, the framework generates a disease embedding tree (DETree) which effectively represents different clinical stages as a tree trajectory reflecting AD progression and thus can be used to predict clinical status by projecting individuals onto this continuous trajectory.
1 code implementation • ICCV 2021 • Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang
How to make the appearance and motion information interact effectively to accommodate complex scenarios is a fundamental issue in flow-based zero-shot video object segmentation.
Semantic Segmentation Unsupervised Video Object Segmentation +2
no code implementations • 8 Dec 2020 • Lu Zhang, Xian-Wei Kang, Xin-Heng Guo, Ling-Yun Dai, Tao Luo, Chao Wang
The semileptonic decay of heavy flavor mesons offers a clean environment for extraction of the Cabibbo-Kobayashi-Maskawa (CKM) matrix elements, which describes the CP-violating and flavor changing process in the Standard Model.
High Energy Physics - Phenomenology High Energy Physics - Experiment
no code implementations • 7 Dec 2020 • Jeremy Blackstone, Wei Hu, Alric Althoff, Armaiti Ardeshiricham, Lu Zhang, Ryan Kastner
To justify our model, we prove that Precise Hardware IFT is equivalent to gate level X-propagation and imprecise fault propagation.
Hardware Architecture
1 code implementation • NeurIPS 2020 • Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
Previous research in fair classification mostly focuses on a single decision model.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Lu Zhang, Mo Yu, Tian Gao, Yue Yu
Multi-hop reasoning approaches over knowledge graphs infer a missing relationship between entities with a multi-hop rule, which corresponds to a chain of relationships.
2 code implementations • 12 Aug 2020 • Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang
To address these problems, we propose a novel neural architecture named OCoR, where we introduce two specifically-designed components to capture overlaps: the first embeds identifiers by character to capture the overlaps between identifiers, and the second introduces a novel overlap matrix to represent the degrees of overlaps between each natural language word and each identifier.
no code implementations • 6 Aug 2020 • Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
MOFNet aims at computing and conveying the Optical Flow and a pixel-wise coding Mode selection.
no code implementations • 6 Jul 2020 • Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
In this paper, a mode selection network (ModeNet) is proposed to enhance deep learning-based video compression.
no code implementations • 3 Jul 2020 • Yue Wang, Yuke Li, James H. Elder, Huchuan Lu, Runmin Wu, Lu Zhang
Evaluation on seven RGB-D datasets demonstrates that even without saliency ground truth for RGB-D datasets and using only the RGB data of RGB-D datasets at inference, our semi-supervised system performs favorable against state-of-the-art fully-supervised RGB-D saliency detection methods that use saliency ground truth for RGB-D datasets at training and depth data at inference on two largest testing datasets.
1 code implementation • 2 Jul 2020 • Lu Zhang, Lucas Janson
Many modern applications seek to understand the relationship between an outcome variable $Y$ and a covariate $X$ in the presence of a (possibly high-dimensional) confounding variable $Z$.
Methodology
1 code implementation • 13 Jun 2020 • Man M. Ho, Lu Zhang, Alexander Raake, Jinjia Zhou
As a human experience in colorization, our brains first detect and recognize the objects in the photo, then imagine their plausible colors based on many similar objects we have seen in real life, and finally colorize them, as described in the teaser.
no code implementations • 13 May 2020 • Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu
Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in social networks.
2 code implementations • 5 Mar 2020 • Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen
Decision-making in dense traffic scenarios is challenging for automated vehicles (AVs) due to potentially stochastic behaviors of other traffic participants and perception uncertainties (e. g., tracking noise and prediction errors, etc.).
Robotics
no code implementations • 21 Feb 2020 • Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Deforges
In this paper, we propose to enhance learned image compression systems with a richer probability model for the latent variables.
1 code implementation • 26 Jan 2020 • Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
However, in this method, the initialization is assigned in a random manner, which impacts the effectiveness of SLS solvers.
2 code implementations • 22 Jan 2020 • Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Deforges
Experimental results show a limitation of the current methods when used for SOD in panoramic images, which indicates the proposed dataset is challenging.
2 code implementations • 22 Nov 2019 • Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
TreeGen outperformed the previous state-of-the-art approach by 4. 5 percentage points on HearthStone, and achieved the best accuracy among neural network-based approaches on ATIS (89. 1%) and GEO (89. 6%).
no code implementations • 16 Nov 2019 • Shishun Tian, Lu Zhang, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Deforges
In this paper, we provide a comprehensive survey on various current approaches for DIBR-synthesized views.
no code implementations • 11 Nov 2019 • Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu
We develop algorithms for determining whether an individual or a group of individuals is discriminated in terms of equality of effort.
no code implementations • NeurIPS 2019 • Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
A recent trend of fair machine learning is to define fairness as causality-based notions which concern the causal connection between protected attributes and decisions.
no code implementations • ICCV 2019 • Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He
We propose a new model for fast and accurate video object segmentation.
1 code implementation • 15 Aug 2019 • Wenpin Tang, Lu Zhang, Sudipto Banerjee
We formally establish results on the identifiability and consistency of the nugget in spatial models based upon the Gaussian process within the framework of in-fill asymptotics, i. e. the sample size increases within a sampling domain that is bounded.
Spatial Interpolation Statistics Theory Statistics Theory
2 code implementations • 24 Jun 2019 • Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen
Planning safe trajectories for autonomous vehicles in complex urban environments is challenging since there are numerous semantic elements (such as dynamic agents, traffic lights and speed limits) to consider.
no code implementations • CVPR 2019 • Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He
To this end, we propose to leverage captioning as an auxiliary semantic task to boost salient object detection in complex scenarios.
no code implementations • ICCV 2019 • Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhi-Yong Liu
In this paper, we propose a novel Aligned Region CNN (AR-CNN) to handle the weakly aligned multispectral data in an end-to-end way.
1 code implementation • 14 Nov 2018 • Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
In this paper, we propose a grammar-based structural convolutional neural network (CNN) for code generation.
no code implementations • 13 Sep 2018 • Yongkai Wu, Lu Zhang, Xintao Wu
In this paper, we propose a general framework for learning fair classifiers which addresses previous limitations.
no code implementations • CVPR 2018 • Lu Zhang, Ju Dai, Huchuan Lu, You He, Gang Wang
In this paper, we propose a novel bi-directional message passing model to integrate multi-level features for salient object detection.
Ranked #2 on RGB Salient Object Detection on ISTD
no code implementations • 28 May 2018 • Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
In this paper, we focus on fair data generation that ensures the generated data is discrimination free.
no code implementations • 5 Mar 2018 • Yongkai Wu, Lu Zhang, Xintao Wu
Existing methods in fairness-aware ranking are mainly based on statistical parity that cannot measure the true discriminatory effect since discrimination is causal.
1 code implementation • 13 Nov 2017 • Lu Zhang, Miaojing Shi, Qiaobo Chen
The task of crowd counting is to automatically estimate the pedestrian number in crowd images.
no code implementations • 22 Aug 2017 • Huizhen Jia, Lu Zhang, Tonghan Wang
Contrast is an inherent visual attribute that indicates image quality, and visual saliency (VS) is a quality that attracts the attention of human beings.
no code implementations • 28 Feb 2017 • Lu Zhang, Yongkai Wu, Xintao Wu
Based on the results, we develop a two-phase framework for constructing a discrimination-free classifier with a theoretical guarantee.
no code implementations • 22 Nov 2016 • Lu Zhang, Yongkai Wu, Xintao Wu
In this paper, we investigate the problem of discovering both direct and indirect discrimination from the historical data, and removing the discriminatory effects before the data is used for predictive analysis (e. g., building classifiers).
no code implementations • 22 Nov 2016 • Lu Zhang, Yongkai Wu, Xintao Wu
Discrimination discovery and prevention/removal are increasingly important tasks in data mining.
no code implementations • COLING 2016 • Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
Using neural networks to generate replies in human-computer dialogue systems is attracting increasing attention over the past few years.
no code implementations • CVPR 2016 • Lu Zhang, Hayley Hung
In this paper, we present the first attempt to analyse differing levels of social involvement in free standing conversing groups (or the so-called F-formations) from static images.
no code implementations • EMNLP 2016 • Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
Transfer learning is aimed to make use of valuable knowledge in a source domain to help model performance in a target domain.
no code implementations • ACL 2016 • Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin
In this paper, we propose the TBCNN-pair model to recognize entailment and contradiction between two sentences.
Ranked #87 on Natural Language Inference on SNLI
no code implementations • 21 Dec 2015 • Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
Provided a specific word, we use RNNs to generate previous words and future words, either simultaneously or asynchronously, resulting in two model variants.
no code implementations • 25 Oct 2015 • Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin
This paper envisions an end-to-end program generation scenario using recurrent neural networks (RNNs): Users can express their intention in natural language; an RNN then automatically generates corresponding code in a characterby-by-character fashion.
no code implementations • 15 Jun 2015 • Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin
Distilling knowledge from a well-trained cumbersome network to a small one has recently become a new research topic, as lightweight neural networks with high performance are particularly in need in various resource-restricted systems.
no code implementations • EMNLP 2015 • Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
This paper proposes a tree-based convolutional neural network (TBCNN) for discriminative sentence modeling.
Ranked #7 on Text Classification on TREC-6
8 code implementations • 18 Sep 2014 • Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin
Programming language processing (similar to natural language processing) is a hot research topic in the field of software engineering; it has also aroused growing interest in the artificial intelligence community.
1 code implementation • 11 Sep 2014 • Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang
In this pioneering paper, we propose the "coding criterion" to build program vector representations, which are the premise of deep learning for program analysis.
no code implementations • CVPR 2014 • Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten
Most modern object trackers combine a motion prior with sliding-window detection, using binary classifiers that predict the presence of the target object based on histogram features.
no code implementations • CVPR 2013 • Lu Zhang, Laurens van der Maaten
We also show that SPOT can improve the performance of single-object trackers by simultaneously tracking different parts of the object.