Yuliang Zou

According to our database, Yuliang Zou authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Scene Reconstruction as Mapping Priors for 3D Detection.

Yang Fu, Yuliang Zou, Hao Xiang, Xin Huang, Yijing Bai, Chen Song, Weijing Shi, Govind Thattai, Dragomir Anguelov, Mingxing Tan, Yingwei Li

CoRR, May, 2026

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving.

Yingwei Li, Xin Huang, Yang Liu, Yang Fu, Alex Zihao Zhu, Chen Song, Junwen Yao, Anant Subramanian, Hao Xiang, Weijing Shi, Yuliang Zou, Tom Hoddes, Zhaoqi Leng, Govind Thattai, Dragomir Anguelov, Mingxing Tan

CoRR, May, 2026

2025

WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios.

Runsheng Xu, Hubert Lin, Wonseok Jeon, Hao Feng, Yuliang Zou, Liting Sun, John Gorman, Kate Tolstaya, Sarah Tang, Brandyn White, Ben Sapp, Mingxing Tan, Jyh-Jing Hwang, Dragomir Anguelov

CoRR, October, 2025

Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models.

Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

SceneCrafter: Controllable Multi-View Driving Scene Editing.

Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Differentially Private Video Activity Recognition.

Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-teacher Invariance Distillation for Domain-Generalized Action Recognition.

Jongmin Shin, Abhishek Maiti, Yuliang Zou, Jinwoo Choi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Learning representational invariances for data-efficient action recognition.

Yuliang Zou, Jinwoo Choi, Qitong Wang, Jia-Bin Huang

Comput. Vis. Image Underst., January, 2023

2022

Label-Efficient Visual Understanding with Consistency Constraints.

Yuliang Zou

PhD thesis, 2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation.

Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.

Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints.

Yuliang Zou, Jimei Yang, Duygu Ceylan, Jianming Zhang, Federico Perazzi, Jia-Bin Huang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling.

Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2020, 2020

DRG: Dual Relation Graph for Human-Object Interaction Detection.

Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

Robust Unsupervised Cleaning of Underwater Bathymetric Point Cloud Data.

Cong Chen, Abel Gawel, Stephen Krauss, Yuliang Zou, A. Lynn Abbott, Daniel J. Stilwell

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency.

Yuliang Zou, Zelun Luo, Jia-Bin Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection.

Chen Gao, Yuliang Zou, Jia-Bin Huang

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Label Efficient Learning of Transferable Representations across Domains and Tasks.

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

CoRR, 2017

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks.

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to Generate Long-term Future via Hierarchical Prediction.

Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee

Proceedings of the 34th International Conference on Machine Learning, 2017