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2020 – today
- 2024
[j14]Hang Gao
, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293: 111592 (2024)- [j13]Yan Jia, Yuqing Cheng, Peng Qiao:
Bootstrap contrastive domain adaptation. Memetic Comput. 16(3): 415-427 (2024) - [c46]Ziteng Zhang, Peng Qiao, Dou Yong, Sidun Liu, Wenyu Li, Li Cao, Luo Chen:
Dual Dreamer: Extending Single-View Dreamer with Few Shot of Complementary Views. ICANN (3) 2024: 303-317 - [c45]Jiuyuan Zhu, Wei Chen, Chen Li, Tianci Xun, Chunjiao Tan, Weiwei Zheng, Yingqi Xu, Peng Qiao:
KnowMIM: a Self-supervised Pre-training Framework Based on Knowledge-Guided Masked Image Modeling for Retinal Vessel Segmentation. ICANN (8) 2024: 412-426 - [c44]Xi Wang, Linglin Xie, Peng Qiao, Yong Dou, Sidun Liu, Wenyu Li, Kaijun Yang:
SAM-NeRF: NeRF-Based 3D Instance Segmentation with Segment Anything Model. ICANN (2) 2024: 434-448 - [c43]Sidun Liu, Peng Qiao, Yong Dou:
Improving Motion Deblur By Multi-Output Learning. ICASSP 2024: 2900-2904 - [c42]Caili Gao, Qisheng Xu, Peng Qiao, Kele Xu, Xifu Qian, Yong Dou:
Adapter-Based Incremental Learning for Face Forgery Detection. ICASSP 2024: 4690-4694 - [c41]Wenyu Li, Zongxin Ye, Sidun Liu, Ziteng Zhang, Xi Wang, Peng Qiao, Yong Dou:
ParaSurRe: Parallel Surface Reconstruction with No Pose Prior. ICME 2024: 1-6 - [c40]Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Wang:
FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. IWQoS 2024: 1-10 - [c39]Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
AbsGS: Recovering Fine Details in 3D Gaussian Splatting. ACM Multimedia 2024: 1053-1061 - [c38]Rongchun Li, Zhen Zhou, Peng Qiao, Jingfei Jiang:
End-To-End High-Quality Transformer Object Detection Model Applied to Human Head Detection. PRCV (12) 2024: 404-417 - [c37]Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
ER-SFM: Efficient and Robust Cluster-Based Structure from Motion. PRCV (6) 2024: 580-592 - [i16]Hengyue Pan, Yixin Chen, Zhiliang Tian, Peng Qiao, Linbo Qiao, Dongsheng Li:
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. CoRR abs/2401.15949 (2024) - [i15]Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
AbsGS: Recovering Fine Details for 3D Gaussian Splatting. CoRR abs/2404.10484 (2024) - [i14]Sidun Liu, Peng Qiao, Zongxin Ye, Wenyu Li, Yong Dou:
DistGrid: Scalable Scene Reconstruction with Distributed Multi-resolution Hash Grid. CoRR abs/2405.04416 (2024) - [i13]Sidun Liu, Peng Qiao, Zongxin Ye, Wenyu Li, Yong Dou:
VoxNeuS: Enhancing Voxel-Based Neural Surface Reconstruction via Gradient Interpolation. CoRR abs/2406.07170 (2024) - [i12]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR abs/2406.08709 (2024) - 2023
- [j12]Xuming Zhang, Yao Zhou, Peng Qiao, Xiaoning Lv, Jimin Li, Tianyu Du, Yiming Cai:
Image Registration Algorithm for Remote Sensing Images Based on Pixel Location Information. Remote. Sens. 15(2): 436 (2023) - [c36]Caili Gao, Yong Dou, Peng Qiao:
Pipeline-based Optimization Method for Large-Scale End-to-End Inference. AI2A 2023: 86-90 - [c35]Zhenglun Sun, Peng Qiao, Yong Dou:
MANet: An Architecture Adaptive Method for Sparse Matrix Format Selection. ICA3PP (2) 2023: 311-326 - [c34]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
VPPT: Visual Pre-Trained Prompt Tuning Framework for Few-Shot Image Classification. ICASSP 2023: 1-5 - [c33]Caili Gao, Peng Qiao, Yong Dou, Qisheng Xu, Xifu Qian, Wenyu Li:
Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection. ICONIP (12) 2023: 528-542 - [c32]Zikai Gao, Peng Qiao, Yong Dou:
HAAN: Human Action Aware Network for Multi-label Temporal Action Detection. ACM Multimedia 2023: 5059-5069 - [i11]Peng Qiao, Sidun Liu, Tao Sun, Ke Yang, Yong Dou:
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration. CoRR abs/2301.12332 (2023) - [i10]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
PVP: Pre-trained Visual Parameter-Efficient Tuning. CoRR abs/2304.13639 (2023) - [i9]Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li:
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR abs/2310.14616 (2023) - 2022
- [j11]Kang Wang, Yong Dou, Tao Sun, Peng Qiao, Dong Wen:
An automatic learning rate decay strategy for stochastic gradient descent optimization methods in neural networks. Int. J. Intell. Syst. 37(10): 7334-7355 (2022) - [j10]Hengyue Pan, Xin Niu, Siqi Shen, Yixin Chen, Peng Qiao, Zhen Huang, Dongsheng Li:
Fixed-Size Objects Encoding for Visual Relationship Detection. Neural Process. Lett. 54(4): 3249-3261 (2022) - [j9]Jun Hu, Peng Qiao, Haohao Lv, Liang Yang, Aiguo Ouyang, Yong He, Yande Liu:
High Speed Railway Fastener Defect Detection by Using Improved YoLoX-Nano Model. Sensors 22(21): 8399 (2022) - [j8]Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li, Peng Qiao:
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. Vis. Comput. 38(3): 897-917 (2022) - [c31]Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng:
Weight-Aware Graph Contrastive Learning. ICANN (2) 2022: 719-730 - [c30]Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang, Yongquan Fu, Qinglin Wang, Peng Qiao:
Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. ICASSP 2022: 4108-4112 - [c29]Sidun Liu, Peng Qiao, Yong Dou, Ruochun Jin:
Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. ICME 2022: 1-6 - [c28]Peng Qiao, Zhouyu He, Rongchun Li, Jingfei Jiang, Yong Dou, Dongsheng Li:
MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. ICPADS 2022: 475-482 - [i8]Sidun Liu, Peng Qiao, Yong Dou:
Multi-Outputs Is All You Need For Deblur. CoRR abs/2208.13029 (2022) - 2021
- [j7]Chen Chen, Bin Liu, Shaohua Wan, Peng Qiao, Qingqi Pei:
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System. IEEE Trans. Intell. Transp. Syst. 22(3): 1840-1852 (2021) - [c27]Yuntao Liu, Yong Dou, Siqi Shen, Peng Qiao:
Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning. ICASSP 2021: 3480-3484 - [c26]Siqi Shen, Yongquan Fu, Huayou Su, Hengyue Pan, Peng Qiao, Yong Dou, Cheng Wang:
Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning. ICASSP 2021: 3510-3514 - [c25]Sidun Liu, Peng Qiao, Yong Dou, Rongchun Li:
Ddper: Decentralized Distributed Prioritized Experience Replay. ICME 2021: 1-6 - [c24]Xiaoning Lv, Yuli Xia, Junsuo Zhao, Peng Qiao, Bo Zhu:
Research on Key Technologies of Digital Multimedia Passive Forensics. ICSAI 2021: 1-5 - [c23]Bo Zhu, Fangjie Zhong, Xiaoning Lv, Peng Qiao:
Multi-target Trajectory Analysis based on Extended Perception Domain and Skeleton Extraction. ICSAI 2021: 1-6 - 2020
- [j6]Yuntao Liu, Yong Dou, Peng Qiao:
Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification. IET Comput. Vis. 14(6): 407-414 (2020) - [c22]Orlando Moreira, Amirreza Yousefzadeh, Fabian Chersi, Ajay Kapoor, Rik-Jan Zwartenkot, Peng Qiao, Gokturk Cinserin, Mina A. Khoei, Menno Lindwer, Jonathan Tapson:
NeuronFlow: A Hybrid Neuromorphic - Dataflow Processor Architecture for AI Workloads. AICAS 2020: 1-5 - [c21]Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou:
Rethinking Segmentation Guidance for Weakly Supervised Object Detection. CVPR Workshops 2020: 4069-4073 - [c20]Orlando Moreira, Amirreza Yousefzadeh, Fabian Chersi, Gokturk Cinserin, Rik-Jan Zwartenkot, Ajay Kapoor, Peng Qiao, Peter Kievits, Mina A. Khoei, Louis Rouillard, Aimee Ferouge, Jonathan Tapson, Ashoka Visweswara:
NeuronFlow: a neuromorphic processor architecture for Live AI applications. DATE 2020: 840-845 - [c19]Ke Yang, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Peng Qiao, Xin Niu, Jie Jiang, Dongsheng Li, Yong Dou:
Attentional Fused Temporal Transformation Network for Video Action Recognition. ICASSP 2020: 4377-4381 - [c18]Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Dongsheng Li, Yong Dou:
Objectness Consistent Representation for Weakly Supervised Object Detection. ACM Multimedia 2020: 1688-1696
2010 – 2019
- 2019
- [j5]Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou:
Exploring frame segmentation networks for temporal action localization. J. Vis. Commun. Image Represent. 61: 296-302 (2019) - [c17]Xianhao He, Peng Qiao, Yong Dou, Xin Niu:
Spatial Attention Network for Few-Shot Learning. ICANN (2) 2019: 567-578 - [c16]Peng Qiao, Weichu Sun, Yong Dou, Rongchun Li:
Fast Nonlocal Diffusion by Stacking Local Filters for Image Denoising. ICPCSEE (2) 2019: 90-101 - [c15]Chunying Zhang, Xiaoze Feng, Liya Wang, Hao Qin, Lu Liu, Peng Qiao, Ruiyan Qiao, Jing Ren:
Two-Direction Dynamic Three-Way Decision Algorithm Based on PS-Rough Set. ISKE 2019: 329-335 - [c14]Chunsheng Li, Peng Qiao, Guanqian Yuan:
Rhythmical Index of Ictal High Frequency Oscillations in Stereo-Electroencephalograph from Epileptic Patients. NER 2019: 97-100 - [c13]Lei Zhao, Peng Qiao, Yong Dou:
Aircraft Segmentation Based On Deep Learning framework : from extreme points to remote sensing image segmentation. SSCI 2019: 1362-1366 - [i7]Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou:
Exploring Frame Segmentation Networks for Temporal Action Localization. CoRR abs/1902.05488 (2019) - [i6]Ke Yang, Jingjing Fu, Xun Guo, Yan Lu, Peng Qiao, Dongsheng Li, Yong Dou:
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition. CoRR abs/1902.09928 (2019) - [i5]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. CoRR abs/1906.01536 (2019) - 2018
- [j4]WenSen Feng, Peng Qiao, Yunjin Chen:
Fast and Accurate Poisson Denoising With Trainable Nonlinear Diffusion. IEEE Trans. Cybern. 48(6): 1708-1719 (2018) - [j3]Jiayu Zhuang, Xi Yong, Junsuo Zhao, Peng Qiao:
Trust Degree can Preserve Community Structure on Co-evolving Complex Networks in Spatial Generalized Prisoner's Dilemma Game. Wirel. Pers. Commun. 102(4): 3089-3100 (2018) - [c12]Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou:
Exploring Temporal Preservation Networks for Precise Temporal Action Localization. AAAI 2018: 7477-7484 - [c11]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. BMVC 2018: 292 - [c10]Qiang Wang, Jiaqing Xu, Rongchun Li, Peng Qiao, Ke Yang, Shijie Li, Yong Dou:
Deep Image Clustering Using Convolutional Autoencoder Embedding with Inception-Like Block. ICIP 2018: 2356-2360 - [c9]Ke Yang, Rongchun Li, Peng Qiao, Qiang Wang, Dongsheng Li, Yong Dou:
Temporal Pyramid Relation Network for Video-Based Gesture Recognition. ICIP 2018: 3104-3108 - [c8]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. ICPR 2018: 758-763 - [c7]Ke Yang, Peng Qiao, Qiang Wang, Shijie Li, Xin Niu, Dongsheng Li, Yong Dou:
Frame Segmentation Networks for Temporal Action Localization. PCM (2) 2018: 242-252 - [c6]Rongchun Li, Biao Zhang, Zhen Huang, Xiang Zhao, Peng Qiao, Yong Dou:
Spatial Attention Network for Head Detection. PCM (2) 2018: 547-557 - [i4]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. CoRR abs/1807.06216 (2018) - 2017
- [j2]WenSen Feng, Peng Qiao, Xuanyang Xi, Yunjin Chen:
Image Denoising via Multiscale Nonlinear Diffusion Models. SIAM J. Imaging Sci. 10(3): 1234-1257 (2017) - [j1]Peng Qiao, Yunjin Chen, Yong Dou:
Variational single image interpolation with time-varying regularization. Signal Process. Image Commun. 58: 258-269 (2017) - [c5]Peng Qiao, Teng Li, Yong Dou, Yuanwu Lei, Hongbing Luo, Chi Jin:
Platform-Adaptive High-Throughput Surveillance Video Condensation on Heterogeneous Processor Clusters. APPT 2017: 1-13 - [c4]Peng Qiao, Yong Dou, WenSen Feng, Rongchun Li, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. ACM Multimedia 2017: 1847-1855 - [i3]Peng Qiao, Yong Dou, WenSen Feng, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. CoRR abs/1702.07472 (2017) - [i2]Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou:
TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization. CoRR abs/1708.03280 (2017) - 2016
- [i1]WenSen Feng, Peng Qiao, Xuanyang Xi, Yunjin Chen:
Image Denoising via Multi-scale Nonlinear Diffusion Models. CoRR abs/1609.06585 (2016) - 2015
- [c3]Ke Yang, Yong Dou, Xiaoyang Chen, Shaohe Lv, Peng Qiao:
Depth enhancement via non-local means filter. ICACI 2015: 126-130 - [c2]Dan Li, Junsuo Zhao, Heng Zhang, Peng Qiao, Jiayu Zhuang:
An Improved Many Worlds Quantum Genetic Algorithm. ICNC 2015: 210-214 - 2011
- [c1]Peng Qiao, Henk Corporaal, Menno Lindwer:
A 0.964mW digital hearing aid system. DATE 2011: 883-886
Coauthor Index
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last updated on 2024-11-20 21:58 CET by the dblp team
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