Min Bai

According to our database, Min Bai authored at least 33 papers between 2014 and 2024.

Collaborative distances:

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

2024

Fast Dictionary Learning Based on Data-Driven Tight Frame for 3-D Seismic Data Denoising.

Zixiang Zhou, Juan Wu, Min Bai, Bo Yang, Zhaoyang Ma

IEEE Trans. Geosci. Remote. Sens., 2024

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling.

Siming Yan, Min Bai, Weifeng Chen, Xiong Zhou, Qixing Huang, Li Erran Li

CoRR, 2024

AffordanceLLM: Grounding Affordance from Vision Language Models.

Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li

CoRR, 2024

Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling.

Alex C. Williams, Min Bai, Jonathan Buck, Tristan J. McKinney, Amy Rechkemmer, Koushik Kalyanaraman, Matthew Lease, Patrick Haffner, Xiong Zhou, Li Erran Li

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

Coherent Noise Attenuation by Kurtosis-Guided Adaptive Dictionary Learning Based on Variational Sparse Representation.

Zixiang Zhou, Min Bai, Juan Wu, Yang Cui

IEEE Trans. Geosci. Remote. Sens., 2023

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation.

Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, Qixing Huang

CoRR, 2023

Implicit Surface Contrastive Clustering for LiDAR Point Clouds.

Zaiwei Zhang, Min Bai, Li Erran Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Unsplit CFS-PML Scheme for the Second-Order Wave Equation With Its Application in Fractional Viscoacoustic Simulation.

Yufeng Wang, Min Bai, Liuqing Yang, Xuebin Zhao, Omar M. Saad, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Self-Attention Deep Image Prior Network for Unsupervised 3-D Seismic Data Enhancement.

Omar M. Saad, Yapo Abolé Serge Innocent Oboué, Min Bai, Lotfy Samy, Liuqing Yang, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Directional Total Variation Regularized High-Resolution Prestack AVA Inversion.

Guangtan Huang, Xiaohong Chen, Shan Qu, Min Bai, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Frequency-Space-Dependent Smoothing Regularized Nonstationary Predictive Filtering.

Guangtan Huang, Min Bai, Hang Wang, Xingye Liu, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Improving self-supervised representation learning via sequential adversarial masking.

Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li

CoRR, 2022

Self-Supervised Pretraining for Large-Scale Point Clouds.

Zaiwei Zhang, Min Bai, Li Erran Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

High Precision Real World Perception for Autonomous Driving.

Min Bai

PhD thesis, 2021

Time-Lapse Seismic Difference-and-Joint Prestack AVA Inversion.

Guangtan Huang, Xiaohong Chen, Cong Luo, Min Bai, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2021

Least-Squares Gaussian Beam Transform for Deblending Distance-Separated Simultaneous Sources.

Min Bai, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2021

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving.

Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun

CoRR, 2021

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds.

Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun

CoRR, 2021

2020

Fast and Robust Low-Rank Approximation for Five-Dimensional Seismic Data Reconstruction.

Juan Wu, Min Bai, Dong Zhang, Hang Wang, Guangtan Huang, Yangkang Chen

IEEE Access, 2020

2019

Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning.

Mi Zhang, Yang Liu, Min Bai, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2019

Least-Squares Gaussian Beam Transform for Seismic Noise Attenuation.

Min Bai, Juan Wu, Mi Zhang, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2019

Nonstationary Least-Squares Decomposition With Structural Constraint for Denoising Multi-Channel Seismic Data.

Min Bai, Wei Chen, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2019

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization.

Wei-Chiu Ma, Raquel Urtasun, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

UPSNet: A Unified Panoptic Segmentation Network.

Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun

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

2018

Incoherent dictionary learning for reducing crosstalk noise in least-squares reverse time migration.

Juan Wu, Min Bai

Comput. Geosci., 2018

A structural rank reduction operator for removing artifacts in least-squares reverse time migration.

Min Bai, Juan Wu, Shaohuan Zu, Wei Chen

Comput. Geosci., 2018

Deep Multi-Sensor Lane Detection.

Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Deep Structured Active Contours End-to-End.

Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun

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

2017

TorontoCity: Seeing the World with a Million Eyes.

Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Watershed Transform for Instance Segmentation.

Min Bai, Raquel Urtasun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Semantic Matching for Optical Flow.

Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun

CoRR, 2016

Exploiting Semantic Information and Deep Matching for Optical Flow.

Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2016, 2016

2014

An ultra-low detection-limit optofluidic biosensor based on Fabry-Pérot cavity.

Pengbo Liu, Hui Huang, Tun Cao, Min Bai, Haibo Wu, Xueyu Liu, Zhenan Tang

Proceedings of the 11th IEEE International Conference on Control & Automation, 2014