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Ke Yang 0004
Person information
- affiliation: National Innovation Institute of Defense Technology, Beijing, China
- affiliation: National University of Defense Technology, Changsha, China
Other persons with the same name
- Ke Yang — disambiguation page
- Ke Yang 0001 — Queen Mary University of London, UK
- Ke Yang 0002 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Ke Yang 0003 — University of Texas at San Antonio, TX, USA (and 2 more)
- Ke Yang 0005 — Google Inc., Mountain View, CA, USA (and 1 more)
- Ke Yang 0006 — Beijing University of Posts and Telecommunications, Beijing, China
- Ke Yang 0007 — East China Jiaotong University, Nanchang, China
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Journal Articles
- 2019
- [j5]Shijie Li, Yong Dou, Jinwei Xu, Ke Yang, Rongchun Li:
GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks. IEEE Access 7: 20225-20234 (2019) - [j4]Shijie Li, Xiaolong Shen, Yong Dou, Shi-Ce Ni, Jinwei Xu, Ke Yang, Qiang Wang, Xin Niu:
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Comput. Intell. Neurosci. 2019: 4328653:1-4328653:12 (2019) - [j3]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) - 2018
- [j2]Qiang Wang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, Ke Yang:
Local kernel alignment based multi-view clustering using extreme learning machine. Neurocomputing 275: 1099-1111 (2018) - 2016
- [j1]Ke Yang, Yong Dou, Shaohe Lv, Fei Zhang, Qi Lv:
Relative distance features for gait recognition with Kinect. J. Vis. Commun. Image Represent. 39: 209-217 (2016)
Conference and Workshop Papers
- 2023
- [c14]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 - 2020
- [c13]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 - [c12]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 - [c11]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
- [c10]Ke Yang, Dongsheng Li, Yong Dou:
Towards Precise End-to-End Weakly Supervised Object Detection Network. ICCV 2019: 8371-8380 - 2018
- [c9]Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou:
Exploring Temporal Preservation Networks for Precise Temporal Action Localization. AAAI 2018: 7477-7484 - [c8]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 - [c7]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 - [c6]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 - [c5]Xin Niu, Di Yang, Ke Yang, Hengyue Pan, Yong Dou:
Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN. PCM (3) 2018: 245-255 - 2016
- [c4]Shijie Li, Yong Dou, Qi Lv, Qiang Wang, Xin Niu, Ke Yang:
Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection. HPCC/SmartCity/DSS 2016: 224-230 - [c3]Zhi Qu, Xuan Li, Yong Dou, Ke Yang:
Face Verification Algorithm with Exploiting Feature Distribution. PRICAI 2016: 393-405 - 2015
- [c2]Ke Yang, Yong Dou, Xiaoyang Chen, Shaohe Lv, Peng Qiao:
Depth enhancement via non-local means filter. ICACI 2015: 126-130 - [c1]Ke Yang, Yong Dou, Shaohe Lv, Fei Zhang:
Exploring Relative Motion Features for Gait Recognition with Kinect. ICONIP (4) 2015: 523-530
Informal and Other Publications
- 2023
- [i8]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) - [i7]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
PVP: Pre-trained Visual Parameter-Efficient Tuning. CoRR abs/2304.13639 (2023) - 2019
- [i6]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) - [i5]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) - [i4]Ke Yang, Dongsheng Li, Yong Dou:
Towards Precise End-to-end Weakly Supervised Object Detection Network. CoRR abs/1911.12148 (2019) - 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) - 2016
- [i2]Ke Yang, Yong Dou, Shaohe Lv, Fei Zhang, Qi Lv:
Relative distance features for gait recognition with Kinect. CoRR abs/1605.05415 (2016) - [i1]Ke Yang, Dongsheng Li, Yong Dou, Shaohe Lv, Qiang Wang:
Weakly supervised object detection using pseudo-strong labels. CoRR abs/1607.04731 (2016)
Coauthor Index
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