Zhang, Hao

Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection

Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Jiang, Q., Li, C., Yang, J., Su, H., et al. (2025) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2,074

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Zhang, H., Li, F., Liu, S., Zhang, L., Su, H., Zhu, J., Ni, L. M., & Shum, H.-Y. (2022) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,154

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,102

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR

Li, F., Zeng, A., Liu, S., Zhang, H., Li, H., Zhang, L., & Ni, L. M. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 154

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 57

LLaVA-OneVision: Easy Visual Task Transfer

Li, B., Zhang, Y., Guo, D., Zhang, R., Li, F., Zhang, H., Zhang, K., Zhang, P., Li, Y., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 44

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Yang, J., Zhang, H., Li, F., Zou, X., Li, C., & Gao, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 25

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Li, Z., Chen, G., Liu, S., Wang, S., VS, V., Ji, Y., Lan, S., Zhang, H., Zhao, Y., Radhakrishnan, S., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2