Ting-Bing Xu

According to our database, Ting-Bing Xu authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NVR-Net: Normal Vector Guided Regression Network for Disentangled 6D Pose Estimation.

Guangkun Feng, Ting-Bing Xu, Fulin Liu, Mingkun Liu, Zhenzhong Wei

IEEE Trans. Circuits Syst. Video Technol., February, 2024

2023

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network.

Qi Zhao, Shuchang Lyu, Lijiang Chen, Binghao Liu, Ting-Bing Xu, Guangliang Cheng, Wenquan Feng

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Fusing Dense Features and Pose Consistency: A Regression Method for Attitude Measurement of Aircraft Landing.

Mingkun Liu, Guangkun Feng, Ting-Bing Xu, Fulin Liu, Zhenzhong Wei

IEEE Trans. Instrum. Meas., 2023

Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search.

Guangliang Cheng, Peng Sun, Ting-Bing Xu, Shuchang Lyu, Peiwen Lin

CoRR, 2023

2022

Deep Neural Network Self-Distillation Exploiting Data Representation Invariance.

Ting-Bing Xu, Cheng-Lin Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Online visual tracking via background-aware Siamese networks.

Ke Tan, Ting-Bing Xu, Zhenzhong Wei

Int. J. Mach. Learn. Cybern., 2022

IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking.

Ke Tan, Ting-Bing Xu, Zhenzhong Wei

Neurocomputing, 2022

Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions.

Zhiqiang Chen, Ting-Bing Xu, Jinpeng Li, Huiguang He

Int. J. Autom. Comput., 2022

2021

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks.

Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He

IEEE Trans. Neural Networks Learn. Syst., 2021

Estimating 6D Aircraft Pose from Keypoints and Structures.

Runze Fan, Ting-Bing Xu, Zhenzhong Wei

Remote. Sens., 2021

SNAP: Shaping neural architectures progressively via information density criterion.

Zhiqiang Chen, Ting-Bing Xu, Weijian Liao, Zhengcheng Li, Jinpeng Li, Cheng-Lin Liu, Huiguang He

Pattern Recognit., 2021

Learning complementary Siamese networks for real-time high-performance visual tracking.

Ke Tan, Ting-Bing Xu, Zhenzhong Wei

J. Vis. Commun. Image Represent., 2021

Embedded Knowledge Distillation in Depth-level Dynamic Neural Network.

Shuchang Lyu, Ting-Bing Xu, Guangliang Cheng

CoRR, 2021

CFFNet: Cross-scale Feature Fusion Network for Real-Time Semantic Segmentation.

Qifeng Luo, Ting-Bing Xu, Zhenzhong Wei

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2019

LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation.

Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu

Pattern Recognit., 2019

Toward Robust Online Adaptive Visual Tracking via Pyramidal Features Extraction.

Shuai Bai, Yuan Dong, Ting-Bing Xu, Hongliang Bai

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Data-Distortion Guided Self-Distillation for Deep Neural Networks.

Ting-Bing Xu, Cheng-Lin Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-hierarchical Independent Correlation Filters for Visual Tracking.

Shuai Bai, Zhiqun He, Ting-Bing Xu, Zheng Zhu, Yuan Dong, Hongliang Bai

CoRR, 2018

2017

Margin-Aware Binarized Weight Networks for Image Classification.

Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Image and Graphics - 9th International Conference, 2017

2016

Fast Aircraft Detection Using End-to-End Fully Convolutional Network.

Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016