Tan, Mingxing

23 publications

TMLR 2025 EMMA: End-to-End Multimodal Model for Autonomous Driving Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan

CVPR 2025 S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

CVPR 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 Guibas, Mingxing Tan, Dragomir Anguelov

CVPR 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

NeurIPS 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

CVPR 2022 DeepFusion: LiDAR-Camera Deep Fusion for Multi-Modal 3D Object Detection Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan

ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

ICLR 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

ECCV 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

ECCV 2022 SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov

NeurIPS 2021 CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai, Hanxiao Liu, Quoc V Le, Mingxing Tan

ICML 2021 EfficientNetV2: Smaller Models and Faster Training Mingxing Tan, Quoc Le

CVPR 2021 MoViNets: Mobile Video Networks for Efficient Video Recognition Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

AAAI 2021 Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

CVPR 2021 Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

CVPR 2021 Searching for Fast Model Families on Datacenter Accelerators Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi

ICLR 2021 Shape-Texture Debiased Neural Network Training Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie

ICLR 2020 AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Michael S. Ryoo, Aj Piergiovanni, Mingxing Tan, Anelia Angelova

ECCV 2020 BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le

ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

NeurIPS 2020 PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc V. Le

ICML 2019 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan, Quoc Le