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RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving.

T. Zhao, C. Xu, M. Ding, M. Tomizuka, W. Zhan, и Y. Wei. CoRR, (2023)

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Chenfeng Xiong

Xu Xu

Xu Xu

Xianxiang Xu

Imaging findings of cerebral schistosomiasis in ChinaX. Xu. Uni Hamburg, (2010)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDIY. Xu. TU Braunschweig, (2009)

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Event-related optimization for a class of resource location with admission control.C. Xu, J. Yang, H. Xi, Q. Jiang, и B. Yin. IJCNN, стр. 1092-1097. IEEE, (2008)Cell balancing control for serially connected lithium-ion batteries.Q. Ouyang, J. Chen, C. Xu, и H. Su. ACC, стр. 3095-3100. IEEE, (2016)NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.C. Xu, B. Wu, J. Hou, S. Tsai, R. Li, J. Wang, W. Zhan, Z. He, P. Vajda, K. Keutzer и 1 other автор(ы). ICCV, стр. 23263-23273. IEEE, (2023)DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds.C. Peng, G. Wang, X. Lo, X. Wu, C. Xu, M. Tomizuka, W. Zhan, и H. Wang. ICCV, стр. 16855-16864. IEEE, (2023)Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries.J. Chen, Q. Ouyang, C. Xu, и H. Su. IEEE Trans. Contr. Sys. Techn., 26 (1): 313-320 (2018)SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.Y. Xie, C. Xu, M. Rakotosaona, P. Rim, F. Tombari, K. Keutzer, M. Tomizuka, и W. Zhan. ICCV, стр. 17545-17556. IEEE, (2023)You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module.C. Xu, B. Zhai, B. Wu, T. Li, W. Zhan, P. Vajda, K. Keutzer, и M. Tomizuka. IROS, стр. 4589-4596. IEEE, (2021)Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles.J. Chen, C. Xu, C. Wu, и W. Xu. IEEE Trans. Ind. Informatics, 14 (1): 292-300 (2018)What Matters to You? Towards Visual Representation Alignment for Robot Learning.R. Tian, C. Xu, M. Tomizuka, J. Malik, и A. Bajcsy. CoRR, (2023)SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.C. Xu, B. Wu, Z. Wang, W. Zhan, P. Vajda, K. Keutzer, и M. Tomizuka. ECCV (28), том 12373 из Lecture Notes in Computer Science, стр. 1-19. Springer, (2020)