Lu, Huchuan

Saliency Detection via Graph-Based Manifold Ranking

Yang, C., Zhang, L., Lu, H., Ruan, X., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Visual Attention and Saliency DetectionAdvanced Image and Video Retrieval Techniques

Cited by 2,554

Transformer Tracking

Chen, X., Yan, B., Zhu, J., Wang, D., Yang, X., & Lu, H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,588

Learning Spatio-Temporal Transformer for Visual Tracking

Yan, B., Peng, H., Fu, J., Wang, D., & Lu, H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,280

Robust object tracking via sparsity-based collaborative model

Zhong, W., Lu, H., & Yang, M.-H. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 990

Deep visual tracking: Review and experimental comparison

Li, P., Wang, D., Wang, L., & Lu, H. (2018) · Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 517

GradNet: Gradient-Guided Network for Visual Object Tracking

Li, P., Chen, B., Ouyang, W., Wang, D., Yang, X., & Lu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 348

High-Performance Long-Term Tracking With Meta-Updater

Dai, K., Zhang, Y., Wang, D., Li, J., Lu, H., & Yang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsVisual Attention and Saliency Detection

Cited by 310

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search

Yan, B., Peng, H., Wu, K., Wang, D., Fu, J., & Lu, H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 277

Alpha-refine: Boosting tracking performance by precise bounding box estimation

Yan, B., Zhang, X., Wang, D., Lu, H., & Yang, X. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 246

‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking

Yan, B., Zhao, H., Wang, D., Lu, H., & Yang, X. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 218

Visual Tracking via Probability Continuous Outlier Model

Wang, D., & Lu, H. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 113

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Chen, J., Ge, C., Xie, E., Wu, Y., Yao, L., Ren, X., Wang, Z., Luo, P., Lu, H., & Li, Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 113

Online Visual Tracking

Lu, H., & Wang, D. (2019) · Springer eBooks

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 16

OASIS: Open Agent Social Interaction Simulations with One Million Agents

Yang, Z., Zhang, Z., Zheng, Z., Jiang, Y., Gan, Z., Wang, Z., Ling, Z., Chen, J., Ma, M., Dong, B., et al. (2024) · arXiv

Opinion Dynamics and Social InfluenceMulti-Agent Systems and Negotiation

Cited by 3

Autoregressive Video Generation without Vector Quantization

Deng, H., Pan, T., Diao, H., Luo, Z., Cui, Y., Lu, H., Shan, S., Qi, Y., & Wang, X. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0