John Lambert

According to our database, John Lambert authored at least 20 papers between 2006 and 2026.

Collaborative distances:

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

2026

Steering LLMs for Culturally Localized Generation.

Simran Khanuja, Hongbin Liu, Shujian Zhang, John Lambert, Mingqing Chen, Rajiv Mathews, Lun Wang

CoRR, March, 2026

2025

MUSIC: MUlti-Step Instruction Contrast for Multi-Turn Reward Models.

Wenzhe Li, Shujian Zhang, Wenxuan Zhou, John Lambert, Chi Jin, Andrew Hard, Rajiv Mathews, Lun Wang

CoRR, December, 2025

Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process.

Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang

CoRR, December, 2025

Eliciting Behaviors in Multi-Turn Conversations.

Jing Huang, Shujian Zhang, Lun Wang, Andrew Hard, Rajiv Mathews, John Lambert

CoRR, December, 2025

Principled Foundations for Preference Optimization.

Wenxuan Zhou, Shujian Zhang, Brice Magdalou, John Lambert, Ehsan Amid, Richard Nock, Andrew Hard

CoRR, July, 2025

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model.

Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang

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

2024

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 Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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

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

CoRR, 2023

The Waymo Open Sim Agents Challenge.

Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deep learning for building and validating geometric and semantic maps.

John Lambert

PhD thesis, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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, James Hays

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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 1, 2021

2020

Adversarial Machine Learning-Industry Perspectives.

Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew T. Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

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

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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, James Hays

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Latte: Large-Scale Lateral Movement Detection.

Qingyun Liu, Jack W. Stokes, Rob Mead, Tim Burrell, Ian Hellen, John Lambert, Andrey Marochko, Weidong Cui

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Deep Learning Under Privileged Information Using Heteroscedastic Dropout.

John Lambert, Ozan Sener, Silvio Savarese

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2011

ZDVUE: prioritization of javascript attacks to discover new vulnerabilities.

Sandeep Karanth, Srivatsan Laxman, Prasad Naldurg, Ramarathnam Venkatesan, John Lambert, Jinwook Shin

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2006

<i>NETRA</i>: : seeing through access control.

Prasad Naldurg, Stefan Schwoon, Sriram K. Rajamani, John Lambert

Proceedings of the 2006 ACM workshop on Formal methods in security engineering, 2006