Fast Aircraft Detection Using End-to-End Fully Convolutional Network. - Ting-Bing Xu; Guangliang Cheng; Jie Yang; Cheng-Lin Liu 001 (DSP, 2016)

Margin-Aware Binarized Weight Networks for Image Classification. - Ting-Bing Xu; Peipei Yang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICIG (1), 2017)

Multi-hierarchical Independent Correlation Filters for Visual Tracking. - Shuai Bai; Zhiqun He; Ting-Bing Xu; Zheng Zhu; Yuan Dong; Hongliang Bai (CoRR, 2018)

Data-Distortion Guided Self-Distillation for Deep Neural Networks. - Ting-Bing Xu; Cheng-Lin Liu 001 (AAAI, 2019)

Toward Robust Online Adaptive Visual Tracking via Pyramidal Features Extraction. - Shuai Bai; Yuan Dong; Ting-Bing Xu; Hongliang Bai (ICME Workshops, 2019)

LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. - Ting-Bing Xu; Peipei Yang; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2019)

CFFNet: Cross-scale Feature Fusion Network for Real-Time Semantic Segmentation. - Qifeng Luo; Ting-Bing Xu; Zhenzhong Wei (ACPR (1), 2021)

Embedded Knowledge Distillation in Depth-level Dynamic Neural Network. - Shuchang Lyu; Ting-Bing Xu; Guangliang Cheng (CoRR, 2021)

Learning complementary Siamese networks for real-time high-performance visual tracking. - Ke Tan 002; Ting-Bing Xu; Zhenzhong Wei (J. Vis. Commun. Image Represent., 2021)

SNAP: Shaping neural architectures progressively via information density criterion. - Zhiqiang Chen; Ting-Bing Xu; Weijian Liao; Zhengcheng Li; Jinpeng Li 002; Cheng-Lin Liu 001; Huiguang He (Pattern Recognit., 2021)

Estimating 6D Aircraft Pose from Keypoints and Structures. - Runze Fan; Ting-Bing Xu; Zhenzhong Wei (Remote. Sens., 2021)

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. - Zhiqiang Chen; Ting-Bing Xu; Changde Du; Cheng-Lin Liu 001; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2021)

Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions. - Zhiqiang Chen; Ting-Bing Xu; Jinpeng Li 002; Huiguang He (Int. J. Autom. Comput., 2022)

IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking. - Ke Tan 002; Ting-Bing Xu; Zhenzhong Wei (Neurocomputing, 2022)

Online visual tracking via background-aware Siamese networks. - Ke Tan 002; Ting-Bing Xu; Zhenzhong Wei (Int. J. Mach. Learn. Cybern., 2022)

Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. - Ting-Bing Xu; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

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)

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)

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. - Qi Zhao 001; Shuchang Lyu; Lijiang Chen; Binghao Liu; Ting-Bing Xu; Guangliang Cheng; Wenquan Feng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning shared template representation with augmented feature for multi-object pose estimation. - Qifeng Luo; Ting-Bing Xu; Fulin Liu; Tianren Li; Zhenzhong Wei (Neural Networks, 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., 2024)