Sun, Peize

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

DiffusionDet: Diffusion Model for Object Detection

Chen, S., Sun, P., Song, Y., & Luo, P. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 657

A deep-learning-based approach for fast and robust steel surface defects classification

Fu, G., Sun, P., Zhu, W., Yang, J., Cao, Y., Yang, M. Y., & Cao, Y. (2019) · Optics and Lasers in Engineering

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 271

Segmenting Transparent Objects in the Wild with Transformer

Xie, E., Wang, W., Wang, W., Sun, P., Xu, H., Liang, D., & Luo, P. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 111

Perception Encoder: The best visual embeddings are not at the output of the network

Bolya, D., Huang, P.-Y., Sun, P., Cho, J. H., Madotto, A., Wei, C., Ma, T., Zhi, J., Rajasegaran, J., Rasheed, H., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 19

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Sun, P., Jiang, Y., Chen, S., Zhang, S., Peng, B., Luo, P., & Yuan, Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 12

Goku: Flow Based Video Generative Foundation Models

Chen, S., Ge, C., Zhang, Y., Zhang, Y., Zhu, F., Yang, H., Hao, H., Wu, H., Lai, Z., Hu, Y., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 11

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Cho, J. H., Madotto, A., Mavroudi, E., Afouras, T., Nagarajan, T., Maaz, M., Song, Y., Ma, T., Hu, S., Jain, S., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 8

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Mu, Y., Chen, J., Zhang, Q., Chen, S., Yu, Q., Ge, C., Chen, R., Liang, Z., Hu, M., Tao, C., et al. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 3