no code implementations • 22 Apr 2024 • Yunlong Ran, Yanxu Li, Qi Ye, Yuchi Huo, Zechun Bai, Jiahao Sun, Jiming Chen
In this pipeline, we first propose a local-global bundle adjustment under a pose graph connecting neighboring frames to enforce the consistency between poses to escape the local minima caused by only pose consistency with the scene structure.
1 code implementation • 19 Apr 2024 • Shaohao Zhu, Jiacheng Zhou, Anjun Chen, Mingming Bai, Jiming Chen, Jinming Xu
The sim-to-real gap poses a significant challenge in RL-based multi-agent exploration due to scene quantization and action discretization.
no code implementations • 16 Apr 2024 • Jing Zeng, Yanxu Li, Jiahao Sun, Qi Ye, Yunlong Ran, Jiming Chen
In the paper, we propose to 1) incorporate frontier-based exploration tasks for global coverage with implicit surface uncertainty-based reconstruction tasks to achieve high-quality reconstruction.
no code implementations • 2 Apr 2024 • Lilin Xu, Chaojie Gu, Rui Tan, Shibo He, Jiming Chen
Human activity recognition (HAR) will be an essential function of various emerging applications.
no code implementations • 29 Mar 2024 • Yanyan Shao, Shuting He, Qi Ye, Yuchao Feng, Wenhan Luo, Jiming Chen
Tracking by natural language specification (TNL) aims to consistently localize a target in a video sequence given a linguistic description in the initial frame.
no code implementations • 14 Mar 2024 • Chen Liu, Shibo He, Haoyu Liu, Jiming Chen
To decrease the inference time, we reduce the variable dimensions in the intention-aware diffusion process and restrict the initial distribution of the action-aware diffusion process, which leads to fewer diffusion steps.
1 code implementation • 7 Mar 2024 • Tao Zhou, Wenhan Luo, Qi Ye, Zhiguo Shi, Jiming Chen
Recently, promptable segmentation models, such as the Segment Anything Model (SAM), have demonstrated robust zero-shot generalization capabilities on static images.
1 code implementation • 2 Mar 2024 • Guangyang Zeng, Qingcheng Zeng, Xinghan Li, Biqiang Mu, Jiming Chen, Ling Shi, Junfeng Wu
Given 2D point correspondences between an image pair, inferring the camera motion is a fundamental issue in the computer vision community.
no code implementations • 27 Dec 2023 • Chendi Qu, Jianping He, Xiaoming Duan, Jiming Chen
A simplistic model is less likely to contain the real reward function, while a model with high complexity leads to substantial computation cost and risks overfitting.
no code implementations • 27 Dec 2023 • Shijian Jiang, Qi Ye, Rengan Xie, Yuchi Huo, Xiang Li, Yang Zhou, Jiming Chen
We evaluate our approach on HO3D and HOD datasets and demonstrate that it outperforms the state-of-the-art methods in terms of reconstruction surface quality, with an improvement of $52\%$ on HO3D and $20\%$ on HOD.
1 code implementation • 17 Dec 2023 • Qihang Zhou, Shibo He, Haoyu Liu, Jiming Chen, Wenchao Meng
In this paper, we propose MTGFlow, an unsupervised anomaly detection approach for MTS anomaly detection via dynamic Graph and entity-aware normalizing Flow.
no code implementations • 8 Dec 2023 • Zhenguo Zhang, Qianqian Yang, Shibo He, Jiming Chen
Semantic communication has emerged as a promising approach for improving efficient transmission in the next generation of wireless networks.
no code implementations • 22 Nov 2023 • Yuhao Chen, Yuxuan Yan, Qianqian Yang, Yuanchao Shu, Shibo He, Jiming Chen
Transformer-based large language models (LLMs) have demonstrated impressive capabilities in a variety of natural language processing (NLP) tasks.
no code implementations • 10 Nov 2023 • Yuhao Chen, Yuxuan Yan, Qianqian Yang, Yuanchao Shu, Shibo He, Zhiguo Shi, Jiming Chen
Moreover, we propose a bit-level computation-efficient data compression scheme to compress the data to be transmitted between devices during training.
3 code implementations • 29 Oct 2023 • Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
It is a crucial task when training data is not accessible due to various concerns, eg, data privacy, yet it is challenging since the models need to generalize to anomalies across different domains where the appearance of foreground objects, abnormal regions, and background features, such as defects/tumors on different products/organs, can vary significantly.
1 code implementation • 11 Oct 2023 • Jiaming Cui, Jiming Chen, Liang Li
Robust and accurate pose estimation in unknown environments is an essential part of robotic applications.
no code implementations • 27 Sep 2023 • Renlang Huang, Minglei Zhao, Jiming Chen, Liang Li
Sparse keypoint matching based on distinct 3D feature representations can improve the efficiency and robustness of point cloud registration.
1 code implementation • 6 Sep 2023 • Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
In safety-critical domains such as autonomous vehicles, offline deep reinforcement learning (offline DRL) is frequently used to train models on pre-collected datasets, as opposed to training these models by interacting with the real-world environment as the online DRL.
no code implementations • 8 Aug 2023 • Yuhao Chen, Qianqian Yang, Zhiguo Shi, Jiming Chen
In recent years, semantic communication has been a popular research topic for its superiority in communication efficiency.
no code implementations • 6 Aug 2023 • Yanyan Shao, Qi Ye, Wenhan Luo, Kaihao Zhang, Jiming Chen
Understanding human interaction with objects is an important research topic for embodied Artificial Intelligence and identifying the objects that humans are interacting with is a primary problem for interaction understanding.
no code implementations • 2 Aug 2023 • Xingjian Wang, Li Chai, Jiming Chen, Zhiguo Shi
Multispectral pedestrian detection achieves better visibility in challenging conditions and thus has a broad application in various tasks, for which both the accuracy and computational cost are of paramount importance.
1 code implementation • ICCV 2023 • Xiangyu Wang, Jingsen Zhu, Qi Ye, Yuchi Huo, Yunlong Ran, Zhihua Zhong, Jiming Chen
With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for tasks like post-processing reconstructed scenes and 3D content creation.
no code implementations • 9 May 2023 • Mengxiang Liu, Fei Teng, Zhenyong Zhang, Pudong Ge, Ruilong Deng, Mingyang Sun, Peng Cheng, Jiming Chen
The overall aim of this survey is to demonstrate the development trend of CRE methods and motivate further efforts to improve the cyber-resiliency of DER-based smart grid.
no code implementations • 7 Feb 2023 • Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu
Based on the preliminary consistent location estimate, a one-step GN iteration suffices to achieve the same asymptotic property as the ML estimator.
no code implementations • ICCV 2023 • Tao Zhou, Qi Ye, Wenhan Luo, Kaihao Zhang, Zhiguo Shi, Jiming Chen
Multi-object tracking (MOT) aims to build moving trajectories for number-agnostic objects.
no code implementations • 18 Nov 2022 • Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Chen, Shibo He, Jiming Chen, Kaicheng Yu
Differentiable architecture search (DARTS) has been a mainstream direction in automatic machine learning.
Ranked #10 on Neural Architecture Search on NAS-Bench-201, CIFAR-100
no code implementations • 17 Oct 2022 • Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye
To tackle the challenge, we introduce an intermediate variable for grasp contact areas to constrain the grasp generation; in other words, we factorize the mapping into two sequential stages by assuming that grasping poses are fully constrained given contact maps: 1) we first learn contact map distributions to generate the potential contact maps for grasps; 2) then learn a mapping from the contact maps to the grasping poses.
no code implementations • 17 Oct 2022 • Shijian Jiang, Guwen Han, Danhang Tang, Yang Zhou, Xiang Li, Jiming Chen, Qi Ye
The decoder aggregate both local image features in pixels and geometric features in vertices.
no code implementations • 4 Oct 2022 • Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Bin Fang, Yingfeng Chen, Jiming Chen, Yuchi Huo, Qi Ye
However, combining RGB and mmWave signals for robust all-weather 3D human reconstruction is still an open challenge, given the sparse nature of mmWave and the vulnerability of RGB images.
no code implementations • 12 Sep 2022 • Anjun Chen, Xiangyu Wang, Shaohao Zhu, Yanxu Li, Jiming Chen, Qi Ye
The results demonstrate that 1) despite the noise and sparsity of the generated point clouds, the mmWave radar can achieve better reconstruction accuracy than the RGB camera but worse than the depth camera; 2) the reconstruction from the mmWave radar is affected by adverse weather conditions moderately while the RGB(D) camera is severely affected.
2 code implementations • 3 Aug 2022 • Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng
Multivariate time series anomaly detection has been extensively studied under the semi-supervised setting, where a training dataset with all normal instances is required.
no code implementations • 22 Jul 2022 • Yunlong Ran, Jing Zeng, Shibo He, Lincheng Li, Yingfeng Chen, Gimhee Lee, Jiming Chen, Qi Ye
In this paper, we explore for the first time the possibility of using implicit neural representations for autonomous 3D scene reconstruction by addressing two key challenges: 1) seeking a criterion to measure the quality of the candidate viewpoints for the view planning based on the new representations, and 2) learning the criterion from data that can generalize to different scenes instead of a hand-crafting one.
no code implementations • 13 Jul 2022 • Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen
To formally analyse the uncertainty to the decision process, we introduce and analyse two important properties of such unbiased trust values: stability of correctness and stability of optimality.
1 code implementation • 27 May 2022 • Qiyuan Wang, Qianqian Yang, Shibo He, Zhiguo Shi, Jiming Chen
In an asynchronous federated learning framework, the server updates the global model once it receives an update from a client instead of waiting for all the updates to arrive as in the synchronous setting.
no code implementations • 25 May 2022 • Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
One desirable property for FL is the implementation of the right to be forgotten (RTBF), i. e., a leaving participant has the right to request to delete its private data from the global model.
no code implementations • 31 Mar 2022 • Guangyang Zeng, Biqiang Mu, Jiming Chen, Zhiguo Shi, Junfeng Wu
In terms of whether the variance of measurement noises is known or not, we propose the Bias-Eli estimator (which involves solving a generalized trust region subproblem) and the Noise-Est estimator (which is obtained by solving a convex problem), respectively.
no code implementations • 8 Feb 2022 • Zhenguo Zhang, Qianqian Yang, Shibo He, Mingyang Sun, Jiming Chen
In particular, the proposed model includes a multilevel semantic feature extractor, that extracts both the highlevel semantic information, such as the text semantics and the segmentation semantics, and the low-level semantic information, such as local spatial details of the images.
1 code implementation • 30 Jan 2022 • Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen
The NAR explores the quality tiers of the search space globally and classifies each individual to the tier they belong to according to its global ranking.
no code implementations • 6 Oct 2021 • Yuhao Chen, Qianqian Yang, Shibo He, Zhiguo Shi, Jiming Chen
Our numerical results demonstrate that FTPipeHD is 6. 8x faster in training than the state of the art method when the computing capacity of the best device is 10x greater than the worst one.
no code implementations • 17 Mar 2021 • Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
Meanwhile, we propose a post-processing framework to tune the original ensemble results through a stacking process so that we can achieve a trade off between fairness and detection performance.
no code implementations • 1 Sep 2020 • Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He
Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance.
no code implementations • 7 Jan 2020 • Mengxiang Liu, Peng Cheng, Chengcheng Zhao, Ruilong Deng, Wenhai Wang, Jiming Chen
In this paper, we consider a hierarchical control based DC microgrid (DCmG) equipped with unknown input observer (UIO) based detectors, where the potential false data injection (FDI) attacks and the distributed countermeasure are investigated.
no code implementations • 30 Jul 2019 • Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen
With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks.
no code implementations • 24 Jul 2019 • Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu
(2) It is difficult to obtain users' explicit feedback of their preference in product features.