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ORCIDYong Dou
Publications
- 2025
[j107]Chenxi Zhou
, Tianjiao Wan, Kele Xu, Peng Qiao, Yong Dou:
Segment Anything for Visual Bird Sound Denoising. IEEE Signal Process. Lett. 32: 1076-1080 (2025)- [c177]Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan:
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies. AAAI 2025: 17159-17167 - [c176]Biao Hu, Zhen Huang, Minghao Hu, Pinglv Yang, Peng Qiao, Yong Dou, Zhilin Wang:
Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction. COLING 2025: 1503-1519 - [c173]Yan Jia, Yuqing Cheng, Kele Xu, Yong Dou, Peng Qiao, Zhouyu He:
A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction. ICASSP 2025: 1-5 - [c172]Xuyao Deng, Tianjiao Wan, Kele Xu, Tian Gao, Peng Qiao, Dawei Feng, Yong Dou:
Scaling Bioacoustic Signal Pre-training with Million Samples Via Mask-Modeling. ICASSP 2025: 1-5 - [c171]Ziteng Zhang, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
MonoIR: Inpainting and Reconstruction for Monocular Endoscope Deformation Scenes. ICASSP 2025: 1-5 - [i30]Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan:
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies. CoRR abs/2502.20190 (2025) - [i29]Sidun Liu, Wenyu Li, Peng Qiao, Yong Dou:
Regist3R: Incremental Registration with Stereo Foundation Model. CoRR abs/2504.12356 (2025) - [i28]Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction. CoRR abs/2504.13419 (2025) - 2024
- [c170]Yan Jia, Yong Dou, Peng Qiao, Yuqing Cheng, Kele Xu, Zhouyu He:
A Connectivity-Enhanced Multi-Task Learning based on Anatomical Priors for 3D Class-Balanced Pulmonary Airway Segmentation. BIBM 2024: 3335-3340 - [c167]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 - [c166]Sidun Liu, Peng Qiao, Yong Dou:
Improving Motion Deblur By Multi-Output Learning. ICASSP 2024: 2900-2904 - [c165]Caili Gao, Qisheng Xu, Peng Qiao, Kele Xu, Xifu Qian, Yong Dou:
Adapter-Based Incremental Learning for Face Forgery Detection. ICASSP 2024: 4690-4694 - [c163]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 - [c160]Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
AbsGS: Recovering Fine Details in 3D Gaussian Splatting. ACM Multimedia 2024: 1053-1061 - [c157]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 - [i27]Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou:
AbsGS: Recovering Fine Details for 3D Gaussian Splatting. CoRR abs/2404.10484 (2024) - [i25]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) - [i24]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) - 2023
- [c156]Caili Gao, Yong Dou, Peng Qiao:
Pipeline-based Optimization Method for Large-Scale End-to-End Inference. AI2A 2023: 86-90 - [c154]Zhenglun Sun, Peng Qiao, Yong Dou:
MANet: An Architecture Adaptive Method for Sparse Matrix Format Selection. ICA3PP (2) 2023: 311-326 - [c151]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 - [c150]Zikai Gao, Peng Qiao, Yong Dou:
HAAN: Human Action Aware Network for Multi-label Temporal Action Detection. ACM Multimedia 2023: 5059-5069 - [i20]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) - 2022
- [j93]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) - [j88]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) - [c136]Sidun Liu, Peng Qiao, Yong Dou, Ruochun Jin:
Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. ICME 2022: 1-6 - [c135]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 - [i17]Sidun Liu, Peng Qiao, Yong Dou:
Multi-Outputs Is All You Need For Deblur. CoRR abs/2208.13029 (2022) - 2021
- [c127]Yuntao Liu, Yong Dou, Siqi Shen, Peng Qiao:
Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning. ICASSP 2021: 3480-3484 - [c126]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 - [c125]Sidun Liu, Peng Qiao, Yong Dou, Rongchun Li:
Ddper: Decentralized Distributed Prioritized Experience Replay. ICME 2021: 1-6 - 2020
- [j79]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) - [c120]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 - [c115]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 - [c112]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 - 2019
- [j70]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) - [c111]Xianhao He, Peng Qiao, Yong Dou, Xin Niu:
Spatial Attention Network for Few-Shot Learning. ICANN (2) 2019: 567-578 - [c109]Peng Qiao, Weichu Sun, Yong Dou, Rongchun Li:
Fast Nonlocal Diffusion by Stacking Local Filters for Image Denoising. ICPCSEE (2) 2019: 90-101 - [c104]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 - [i13]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) - [i12]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) - [i11]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. CoRR abs/1906.01536 (2019) - 2018
- [c103]Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou:
Exploring Temporal Preservation Networks for Precise Temporal Action Localization. AAAI 2018: 7477-7484 - [c100]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. BMVC 2018: 292 - [c97]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 - [c96]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 - [c94]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. ICPR 2018: 758-763 - [c93]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 - [c91]Rongchun Li, Biao Zhang, Zhen Huang, Xiang Zhao, Peng Qiao, Yong Dou:
Spatial Attention Network for Head Detection. PCM (2) 2018: 547-557 - [i7]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. CoRR abs/1807.06216 (2018) - 2017
- [j53]Peng Qiao, Yunjin Chen, Yong Dou:
Variational single image interpolation with time-varying regularization. Signal Process. Image Commun. 58: 258-269 (2017) - [c88]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 - [c82]Peng Qiao, Yong Dou, WenSen Feng, Rongchun Li, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. ACM Multimedia 2017: 1847-1855 - [i5]Peng Qiao, Yong Dou, WenSen Feng, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. CoRR abs/1702.07472 (2017) - [i3]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) - 2015
- [c70]Ke Yang, Yong Dou, Xiaoyang Chen, Shaohe Lv, Peng Qiao:
Depth enhancement via non-local means filter. ICACI 2015: 126-130
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last updated on 2025-08-26 23:00 CEST by the dblp team
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