publications

2024

1. 

   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, and Dragomir Anguelov

   In Conference on Neural Information Processing Systems (NeurIPS), 2024

   Bib PDF

   @inproceedings{Jiang24neurips_scenediffuser,
     title = {SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout},
     author = {Jiang, Chiyu Max and Bai, Yijing and Cornman, Andre and Davis, Christopher and Huang, Xiukun and Jeon, Hong and Kulshrestha, Sakshum and Lambert, John and Li, Shuangyu and Zhou, Xuanyu and Fuertes, Carlos and Yuan, Chang and Tan, Mingxing and Zhou, Yin and Anguelov, Dragomir},
     year = {2024},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     video = {https://youtu.be/YGxcg2WmkWo?t=9526},
   }

2023

1. 

   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, and Dragomir Anguelov

   In Advances in Neural Information Processing Systems Track on Datasets and Benchmarks, 2023

   arXiv Bib PDF Code Website

   @inproceedings{Montali23neurips_wosac,
     title = {The Waymo Open Sim Agents Challenge},
     author = {Montali, Nico and Lambert, John and Mougin, Paul and Kuefler, Alex and Rhinehart, Nick and Li, Michelle and Gulino, Cole and Emrich, Tristan and Yang, Zoey and Whiteson, Shimon and White, Brandyn and Anguelov, Dragomir},
     year = {2023},
     booktitle = {Advances in Neural Information Processing Systems Track on Datasets and Benchmarks},
   }

2. 

   Distributed Global Structure-from-Motion with a Deep Front-End

   Ayush Baid, John Lambert, Travis Driver, Akshay Krishnan, Hayk Stepanyan, and Frank Dellaert

   arXiv, 2023

   Bib PDF Code

     title = {Distributed Global Structure-from-Motion with a Deep Front-End},
     author = {Baid, Ayush and Lambert, John and Driver, Travis and Krishnan, Akshay and Stepanyan, Hayk and Dellaert, Frank},
     journal = {arXiv},
     year = {2023},
   }

3. MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

   John Lambert, Zhuang Liu, Ozan Sener, James Hays, and Vladlen Koltun

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

   arXiv Bib

   @article{Lambert23tpami_MSeg,
     author = {Lambert, John and Liu, Zhuang and Sener, Ozan and Hays, James and Koltun, Vladlen},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation},
     year = {2023},
     volume = {45},
     number = {1},
     pages = {796-810},
   }

2022

1. 

   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, and Sing Bing Kang

   In ECCV, 2022

   Bib PDF Code Website

   @inproceedings{lambert22eccv_salve,
     title = {SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas},
     author = {Lambert, John and Li, Yuguang and Boyadzhiev, Ivaylo and Wixson, Lambert and Narayana, Manjunath and Hutchcroft, Will and Hays, James and Dellaert, Frank and Kang, Sing Bing},
     year = {2022},
     booktitle = {ECCV},
     video = {https://www.youtube.com/watch?v=WBOVn0LC7dI&feature=emb_imp_woyt}
   }

2. 

   Deep Learning for Building and Validating Geometric and Semantic Maps

   John Lambert

   Georgia Institute of Technology, 2022

   Bib PDF

   @phdthesis{Lambert22thesis,
     title = {Deep Learning for Building and Validating Geometric and Semantic Maps},
     school = {Georgia Institute of Technology},
     author = {Lambert, John},
     year = {2022},
   }

2021

1. 

   Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection

   John W. Lambert, and James Hays

   In Advances in Neural Information Processing Systems Track on Datasets and Benchmarks, 2021

   arXiv Bib PDF Code Website

   @inproceedings{Lambert21neurips_TrustButVerifyHDMapChangeDetection,
     author = {Lambert, John W. and Hays, James},
     booktitle = {Advances in Neural Information Processing Systems Track on Datasets and Benchmarks},
     title = {{Trust, but Verify}: Cross-Modality Fusion for HD Map Change Detection},
     year = {2021},
   }

2. 

   Argoverse 2: 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, and James Hays

   In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021), 2021

   arXiv Bib PDF Code Website

   @inproceedings{Wilson21neurips_Argoverse2,
     author = {Wilson, Benjamin and Qi, William and Agarwal, Tanmay and Lambert, John and Singh, Jagjeet and Khandelwal, Siddhesh and Pan, Bowen and Kumar, Ratnesh and Hartnett, Andrew and Pontes, Jhony Kaesemodel and Ramanan, Deva and Carr, Peter and Hays, James},
     title = {Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting},
     booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)},
     year = {2021},
   }

2020

1. 

   MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

   John Lambert, Zhuang Liu, Ozan Sener, James Hays, and Vladlen Koltun

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020

   Bib PDF Code

   @inproceedings{Lambert_2020_CVPR,
     author = {Lambert, John and Liu, Zhuang and Sener, Ozan and Hays, James and Koltun, Vladlen},
     title = {MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2020},
     video = {https://youtu.be/PzBK6K5gyyo},
     dataset = {https://github.com/mseg-dataset/mseg-api/tree/master/mseg/relabeled_data}
   }

2019

1. 

   Argoverse: 3D Tracking and Forecasting With Rich Maps

   Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019

   arXiv Bib Code Website

   @inproceedings{Chang_2019_CVPR,
     author = {Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and Hays, James},
     title = {Argoverse: 3D Tracking and Forecasting With Rich Maps},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2019},
     video = {https://youtu.be/0lybuew8Lik?t=2769},
     cvpr20workshop = {https://www.youtube.com/watch?v=Vcbj_peZT4Q&feature=youtu.be},
   }

2018

1. 

   Deep Learning Under Privileged Information Using Heteroscedastic Dropout

   John Lambert, Ozan Sener, and Silvio Savarese

   In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018

   arXiv Bib Code

   @inproceedings{Lambert_2018_CVPR,
     author = {Lambert, John and Sener, Ozan and Savarese, Silvio},
     title = {Deep Learning Under Privileged Information Using Heteroscedastic Dropout},
     booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2018},
     video = {https://youtu.be/sIkUzmgUaxc?t=4648}
   }

2017

1. 

   Deep Learning under Privileged Information Using Heteroscedastic Dropout

   John Lambert, Ozan Sener, and Silvio Savarese

   In Proceedings of NIPS ’17 Workshops, Jun 2017

   Bib PDF

   @inproceedings{Lambert17nipsw_DLUPI,
     author = {Lambert, John and Sener, Ozan and Savarese, Silvio},
     title = {Deep Learning under Privileged Information Using Heteroscedastic Dropout},
     booktitle = {Proceedings of NIPS '17 Workshops},
     year = {2017},
   }

2016

1. 

   A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes

   Assaf Hoogi, John Lambert, Yefeng Zheng, Dorin Comaniciu, and Daniel L. Rubin

   In Proceedings of NIPS ’16 Workshops, Jun 2016

   arXiv Bib

   @inproceedings{Hoogi16nipsw_AutomatedDetSegLesions,
     author = {Hoogi, Assaf and Lambert, John and Zheng, Yefeng and Comaniciu, Dorin and Rubin, Daniel L.},
     title = {A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes},
     booktitle = {Proceedings of NIPS '16 Workshops},
     year = {2016},
   }