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2020 – today
- 2024
[j13]Qifeng Luo
, Ting-Bing Xu, Fulin Liu, Tianren Li, Zhenzhong Wei:
Learning shared template representation with augmented feature for multi-object pose estimation. Neural Networks 176: 106352 (2024)- [j12]Guangkun Feng, Ting-Bing Xu, Fulin Liu, Mingkun Liu, Zhenzhong Wei:
NVR-Net: Normal Vector Guided Regression Network for Disentangled 6D Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1098-1113 (2024) - 2023
- [j11]Qi Zhao, Shuchang Lyu, Lijiang Chen, Binghao Liu, Ting-Bing Xu, Guangliang Cheng, Wenquan Feng:
Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6661-6678 (2023) - [j10]Mingkun Liu, Guangkun Feng, Ting-Bing Xu, Fulin Liu, Zhenzhong Wei:
Fusing Dense Features and Pose Consistency: A Regression Method for Attitude Measurement of Aircraft Landing. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [i3]Guangliang Cheng, Peng Sun, Ting-Bing Xu, Shuchang Lyu, Peiwen Lin:
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search. CoRR abs/2302.08481 (2023) - 2022
- [j9]Zhiqiang Chen, Ting-Bing Xu, Jinpeng Li, Huiguang He:
Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions. Int. J. Autom. Comput. 19(2): 115-126 (2022) - [j8]Ke Tan, Ting-Bing Xu, Zhenzhong Wei:
IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking. Neurocomputing 492: 222-233 (2022) - [j7]Ke Tan, Ting-Bing Xu, Zhenzhong Wei:
Online visual tracking via background-aware Siamese networks. Int. J. Mach. Learn. Cybern. 13(10): 2825-2842 (2022) - [j6]Ting-Bing Xu, Cheng-Lin Liu:
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. IEEE Trans. Neural Networks Learn. Syst. 33(1): 257-269 (2022) - 2021
- [j5]Ke Tan, Ting-Bing Xu, Zhenzhong Wei:
Learning complementary Siamese networks for real-time high-performance visual tracking. J. Vis. Commun. Image Represent. 80: 103299 (2021) - [j4]Zhiqiang Chen, Ting-Bing Xu, Weijian Liao, Zhengcheng Li, Jinpeng Li, Cheng-Lin Liu, Huiguang He:
SNAP: Shaping neural architectures progressively via information density criterion. Pattern Recognit. 116: 107923 (2021) - [j3]Runze Fan, Ting-Bing Xu, Zhenzhong Wei:
Estimating 6D Aircraft Pose from Keypoints and Structures. Remote. Sens. 13(4): 663 (2021) - [j2]Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He:
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(2): 799-813 (2021) - [c5]Qifeng Luo, Ting-Bing Xu, Zhenzhong Wei:
CFFNet: Cross-scale Feature Fusion Network for Real-Time Semantic Segmentation. ACPR (1) 2021: 338-351 - [i2]Shuchang Lyu, Ting-Bing Xu, Guangliang Cheng:
Embedded Knowledge Distillation in Depth-level Dynamic Neural Network. CoRR abs/2103.00793 (2021)
2010 – 2019
- 2019
- [j1]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. Pattern Recognit. 88: 272-284 (2019) - [c4]Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. AAAI 2019: 5565-5572 - [c3]Shuai Bai, Yuan Dong, Ting-Bing Xu, Hongliang Bai:
Toward Robust Online Adaptive Visual Tracking via Pyramidal Features Extraction. ICME Workshops 2019: 561-566 - 2018
- [i1]Shuai Bai, Zhiqun He, Ting-Bing Xu, Zheng Zhu, Yuan Dong, Hongliang Bai:
Multi-hierarchical Independent Correlation Filters for Visual Tracking. CoRR abs/1811.10302 (2018) - 2017
- [c2]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
Margin-Aware Binarized Weight Networks for Image Classification. ICIG (1) 2017: 590-601 - 2016
- [c1]Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu:
Fast Aircraft Detection Using End-to-End Fully Convolutional Network. DSP 2016: 139-143
Coauthor Index
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