Zhao, Hang
Tsinghua University
7 papers on CoChatORCID 0000-0003-1928-7841
Most cited papers
- Verified
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Sun, P., Kretzschmar, H., Dotiwalla, X., Chouard, A., Patnaik, V., Tsui, P., Guo, J., Zhou, Y., Chai, Y., Caine, B., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 3,437
- Verified
Scene Parsing through ADE20K Dataset
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 3,326
- Verified
Semantic Understanding of Scenes Through the ADE20K Dataset
Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019) · International Journal of Computer Vision
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 1,831
- Verified
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Ettinger, S., Cheng, S., Caine, B., Liu, C., Zhao, H., Pradhan, S., Chai, Y., Sapp, B., Qi, C., Zhou, Y., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Autonomous Vehicle Technology and SafetyTraffic Prediction and Management Techniques
Cited by 584
- Verified
What Makes Multi-modal Learning Better than Single (Provably)
Huang, Y., Du, C., Xue, Z., Chen, X., Zhao, H., & Huang, L. (2021) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 197
- Verified
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Wang, Y., Guizilini, V., Zhang, T., Wang, Y., Zhao, H., & Solomon, J. (2021) · arXiv
Advanced Neural Network ApplicationsAdvanced Vision and Imaging
Cited by 182
- Verified
Intrinsic Entropy of Context Length Scaling in LLMs
Shi, J., Ma, Q., Liu, H., Zhao, H., Hwang, J.-N., & Li, L. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free