Peng, Houwen

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

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Zhang, Z., & Peng, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,160

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Liu, X., Peng, H., Zheng, N., Yang, Y., Hu, H., & Yuan, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 956

Ocean: Object-Aware Anchor-Free Tracking

Zhang, Z., Peng, H., Fu, J., Li, B., & Hu, W. (2020) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 894

AutoFormer: Searching Transformers for Visual Recognition

Chen, M., Peng, H., Fu, J., & Ling, H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 323

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

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

Guo, M.-H., Xu, J., Zhang, Y., Song, J., Peng, H., Deng, Y.-X., Dong, X., Nakayama, K., Geng, Z., Wang, C., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

Liu, S., Bao, L., Yang, Q., Geng, W., Zheng, B., Li, C., Chen, W., Peng, H., & Yuan, Y. (2026) · arXiv

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 1