no code implementations • 3 Apr 2024 • Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen
In addition to the supervision of ground truth, the vanilla KD method regards the predictions of the teacher as soft labels to supervise the training of the student model.
1 code implementation • 26 Feb 2024 • Zhen Chen, Qing Xu, Xinyu Liu, Yixuan Yuan
Moreover, to unleash the generalization capability of SAM across a variety of nuclei images, we devise a Domain-adaptive Tuning Encoder (DT-Encoder) to seamlessly harmonize visual features with domain-common and domain-specific knowledge, and further devise a Domain Query-enhanced Decoder (DQ-Decoder) by leveraging learnable domain queries for segmentation decoding in different nuclei domains.
no code implementations • 20 Feb 2024 • Shaoyu Chen, Bo Jiang, Hao Gao, Bencheng Liao, Qing Xu, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang
Learning a human-like driving policy from large-scale driving demonstrations is promising, but the uncertainty and non-deterministic nature of planning make it challenging.
no code implementations • 5 Sep 2023 • Ji-An Pan, Qing Xu, Keqiang Li, Chunying Yang, Jianqiang Wang
This article is devoted to addressing the cloud control of connected vehicles, specifically focusing on analyzing the effect of bi-directional communication-induced delays.
no code implementations • 4 Sep 2023 • Shuai Li, Haotian Zheng, Jiawei Wang, Chaoyi Chen, Qing Xu, Jianqiang Wang, Keqiang Li
In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly focuses on "looking ahead" (i. e., the CAVs receive information from preceding vehicles) strategies for CAVs, while recent work reveals that "looking behind" (i. e., the CAVs receive information from their rear vehicles) strategies might provide more possibilities for CAV longitudinal control.
6 code implementations • 23 Aug 2023 • Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, Wenting Duan
Compared to the segment anything model, SPPNet shows roughly 20 times faster inference, with 1/70 parameters and computational cost.
1 code implementation • 7 Jul 2023 • Qing Xu, Min Wu, XiaoLi Li, Kezhi Mao, Zhenghua Chen
More specifically, a feature-domain discriminator is employed to align teacher's and student's representations for universal knowledge transfer.
1 code implementation • 23 Jun 2023 • Qing Xu, Wenting Duan
However, such networks are difficult to focus on lesion regions in chest X-rays due to their high resemblance in vision.
no code implementations • 1 Jun 2023 • Anzhu Yu, Wenjun Huang, Qing Xu, Qun Sun, Wenyue Guo, Song Ji, Bowei Wen, Chunping Qiu
The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade.
1 code implementation • 24 May 2023 • Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, xiangyang xue
To this end, we propose a novel approach for empathetic response generation, which incorporates an adaptive module for commonsense knowledge selection to ensure consistency between the generated empathetic responses and the speaker's situation.
no code implementations • 28 Apr 2023 • Xin Chen, Anzhu Yu, Qun Sun, Wenyue Guo, Qing Xu, Bowei Wen
However, obtaining bi-phase images for the same area is difficult, and complex post-processing methods are required to update the existing databases. To solve these problems, we proposed a road detection method based on semi-supervised learning (SRUNet) specifically for road-updating applications; in this approach, historical road information was fused with the latest images to directly obtain the latest state of the road. Considering that the texture of a road is complex, a multi-branch network, named the Map Encoding Branch (MEB) was proposed for representation learning, where the Boundary Enhancement Module (BEM) was used to improve the accuracy of boundary prediction, and the Residual Refinement Module (RRM) was used to optimize the prediction results.
2 code implementations • ICCV 2023 • Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang
In this paper, we propose VAD, an end-to-end vectorized paradigm for autonomous driving, which models the driving scene as a fully vectorized representation.
1 code implementation • ICCV 2023 • Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge
Following the spirit of multiple instance learning (MIL), we decompose the weakly supervised correspondence learning problem into three stages: image-level matching, region-level matching, and pixel-level matching.
1 code implementation • 24 Oct 2022 • Jiawei Wang, Yingzhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones
This algorithm achieves both computation and communication efficiency, as well as trajectory data privacy, through parallel calculation.
1 code implementation • 16 Sep 2022 • Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu
Deep Q-learning Network (DQN) is a successful way which combines reinforcement learning with deep neural networks and leads to a widespread application of reinforcement learning.
1 code implementation • 7 Apr 2022 • Jiawei Wang, Yang Zheng, Jianghong Dong, Chaoyi Chen, Mengchi Cai, Keqiang Li, Qing Xu
In this paper, we present the first experimental results of data-driven predictive control for connected and autonomous vehicles (CAVs) in dissipating traffic waves.
1 code implementation • 20 Mar 2022 • Jiawei Wang, Yang Zheng, Keqiang Li, Qing Xu
For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies.
1 code implementation • 2 Feb 2022 • Qing Xu, Zhicheng Ma, Na He, Wenting Duan
Deep learning architecture with convolutional neural network (CNN) achieves outstanding success in the field of computer vision.
Ranked #1 on Medical Image Segmentation on SegPC-2021
no code implementations • 1 Dec 2021 • Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li
Formation control methods of connected and automated vehicles have been proposed to smoothly switch the structure of vehicular formations in different scenarios.
no code implementations • 25 Oct 2021 • Chunying Yang, Jianghong Dong, Qing Xu, Mengchi Cai, Hongmao Qin, Jianqiang Wang, Keqiang Li
To confirm effectiveness of this method, a prototype system is developed, which consists of sand table testbed, its twin system and cloud.
no code implementations • 19 Oct 2021 • Jiawei Wang, Yang Zheng, Qing Xu, Keqiang Li
In this paper, instead of relying on a parametric car-following model, we introduce a data-driven predictive control strategy to achieve safe and optimal control for CAVs in mixed traffic.
3 code implementations • 25 Aug 2021 • Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Xiangbin Wu
Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency.
1 code implementation • MICCAI Workshop COMPAY 2021 • Qing Xu, Wenting Duan
Nuclei segmentation is an important step in the task of medical image analysis.
4 code implementations • 18 Mar 2021 • Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Qianying Zhu
Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety.
no code implementations • 7 Mar 2021 • Zhenjie Tang, Qing Xu, Zhenwei Shi, Bin Pan
To be specific, we develop a new Feedback Structure and a Local-Global Spectral Block to alleviate the difficulty in spatial and spectral feature extraction.
no code implementations • 3 Feb 2021 • Michael Shub, Qing Xu, Xiaohua, Xuan
In this paper, we propose a maximum entropy method for predicting disease risks.
no code implementations • 18 Jan 2021 • Zhaoxi Chen, Qing Xu, Ke Zhang, Wing-Han Wong, De-Long Zhang, Edwin Yue-Bun Pun, Cheng Wang
Lithium niobate on insulator (LNOI) is an emerging photonic platform with great promises for future optical communications, nonlinear optics and microwave photonics.
Optics Applied Physics
1 code implementation • 8 Dec 2020 • Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li
Most existing strategies for CAVs' longitudinal control focus on downstream traffic conditions, but neglect the impact of CAVs' behaviors on upstream traffic flow.
no code implementations • 27 Oct 2020 • Xuli Shen, Qing Xu, xiangyang xue
and the mean value of loss function is used as the empirical risk by Law of Large Numbers (LLN).
1 code implementation • 23 Jul 2020 • Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li
Numerical studies confirm the potential of LCC to strengthen the capability of CAVs in suppressing traffic instabilities and smoothing traffic flow.
Systems and Control Systems and Control Optimization and Control
no code implementations • 23 Nov 2018 • Qing Xu, Xiaohua Xuan
In this paper, we consider a class of nonlinear regression problems without the assumption of being independent and identically distributed.