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A Coarse to Fine Object Proposal Framework for Autonomous Driving Object Detection Using Binocular Image.

, , , and . GRMSE (2), volume 699 of Communications in Computer and Information Science, page 218-227. Springer, (2016)

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A Coarse to Fine Object Proposal Framework for Autonomous Driving Object Detection Using Binocular Image., , , and . GRMSE (2), volume 699 of Communications in Computer and Information Science, page 218-227. Springer, (2016)Learning Generic Features from DEH Channels for Object Proposals Generation., , and . SMARTCOMP, page 1-6. IEEE Computer Society, (2017)Efficient deep learning for stereo matching with larger image patches., , and . CISP-BMEI, page 1-5. IEEE, (2017)Learning for Disparity Estimation Through Feature Constancy., , , , , , , and . CVPR, page 2811-2820. Computer Vision Foundation / IEEE Computer Society, (2018)Unsupervised Stereo Depth Estimation Refined by Perceptual Loss., , , and . UPINLBS, page 1-6. IEEE, (2018)BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision., , , , and . CIT/IUCC/DASC/PICom, page 568-574. IEEE, (2015)Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy., , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (1): 300-315 (2021)Object proposal method based on integration of geometrical features., , , and . CISP-BMEI, page 527-532. IEEE, (2016)A Novel Low-Power and High-PSNR Architecture Based on ARC for DCT/IDCT., , and . NCCET, volume 666 of Communications in Computer and Information Science, page 55-68. Springer, (2016)Hybrid Attentive Answer Selection in CQA With Deep Users Modelling., , , and . AAAI, page 2556-2563. AAAI Press, (2018)