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Yonglin Tian

Showing results (1-10 of 6) with videos related to

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Sensors (Basel, Switzerland)|December 11, 2022
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow EstimationYu Shen, Yuhang Liu, Yonglin Tian, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 25, 2019
Mask SSD: An Effective Single-Stage Approach to Object Instance SegmentationHui Zhang, Yonglin Tian, Kunfeng Wang, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar SystemsYuhang Liu, Yu Shen, Lili Fan, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 14, 2022
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context FusionYonglin Tian, Yu Shen, Xiao Wang, et al.
Research (Washington, D.C.)|May 21, 2024
Parallel Driving with Big Models and Foundation Intelligence in Cyber-Physical-Social SpacesXiao Wang, Jun Huang, Yonglin Tian, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 22, 2025
SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generationZelin Guo, Siqi Wang, Yonglin Tian, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|December 11, 2022
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow EstimationYu Shen, Yuhang Liu, Yonglin Tian, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 25, 2019
Mask SSD: An Effective Single-Stage Approach to Object Instance SegmentationHui Zhang, Yonglin Tian, Kunfeng Wang, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar SystemsYuhang Liu, Yu Shen, Lili Fan, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 14, 2022
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context FusionYonglin Tian, Yu Shen, Xiao Wang, et al.
Research (Washington, D.C.)|May 21, 2024
Parallel Driving with Big Models and Foundation Intelligence in Cyber-Physical-Social SpacesXiao Wang, Jun Huang, Yonglin Tian, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 22, 2025
SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generationZelin Guo, Siqi Wang, Yonglin Tian, et al.
Pageof 1