Publications

Google Scholar Profile

	SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov Proceedings of the Neural Information Processing Systems (NeurIPS)* December 2024. [arXiv] [BibTeX]
	Spotlight The Waymo Open Sim Agents Challenge Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS) December 2023. [arXiv] [Project] [Code] [BibTeX]
	Distributed Global Structure-from-Motion with a Deep Front-End Ayush Baid, John Lambert*, Travis Driver, Akshay Krishnan, Hayk Stepanyan, Frank Dellaert arXiv* November 2023. [arXiv] [Code] [BibTeX]
	SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang European Conference on Computer Vision (ECCV) October 2022. [arXiv] [Project] [Video] [Code] [BibTeX]
	Deep Learning for Building and Validating Geometric and Semantic Maps John Lambert PhD Dissertation March 2022. [arXiv] [BibTeX]
	MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert, Zhuang Liu, [co-first authors], Ozan Sener, James Hays, Vladlen Koltun Transactions on Pattern Analysis and Machine Intelligence (TPAMI)* January 2022. [arXiv] [BibTeX]
	Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection John Lambert, James Hays Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS) December 2021. [arXiv] [Project] [Video] [Code] [BibTeX]
	Argoverse 2.0: Next Generation Datasets for Self-Driving Perception and Forecasting Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS) December 2021. [arXiv] [Project] [Video] [Code] [BibTeX]
	MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert, Zhuang Liu, [co-first authors], Ozan Sener, James Hays, Vladlen Koltun IEEE Conference on Computer Vision and Pattern Recognition (CVPR)* Seattle, Washington. June 2020. [arXiv] [Video] [Code] [Data] [BibTeX]
	Oral Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh [co-first authors], Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays IEEE Conference on Computer Vision and Pattern Recognition (CVPR)* Long Beach, California. June 2019. [arXiv] [Project] [Video] [Code] [Data] [NeurIPS '19 Workshop Talk] [CVPR '20 Workshop Talk] [BibTeX]
	Spotlight Deep Learning under Privileged Information Using Heteroscedastic Dropout John Lambert, Ozan Sener, Silvio Savarese IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, Utah. June 2018. [arXiv] [Video] [Code] [BibTeX]
	Spotlight Deep Learning under Privileged Information Using Heteroscedastic Dropout John Lambert, Ozan Sener, Silvio Savarese Workshop on Bayesian Deep Learning, Advances in Neural Information Processing Systems (NIPS) Long Beach, California. Dec 2017. [arXiv] [BibTeX]
	A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes Assaf Hoogi, John Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin Workshop on Machine Learning in Healthcare, Advances in Neural Information Processing Systems (NIPS) Barcelona, Spain. Dec 2016. [arXiv] [BibTeX]