Fundamental Matrices from Moving Objects Using Line Motion Barcodes
Journal ref ECCV'16, Amsterdam, Oct. 2016, Vol II, pp. 220-118
期刊&会议
European Conference on Computer Vision · 会议 · Computer Vision
Journal ref ECCV'16, Amsterdam, Oct. 2016, Vol II, pp. 220-118
Comments Published in ECCV 2016
Comments ECCV 2016
Comments ECCV 2016
Comments ECCV'16. High-res version at https://www.d2.mpi-inf.mpg.de/sites/default/files/insafutdinov16arxiv.pdf
Comments Published in ECCV 2016
Comments Published in ECCV 2016. Code and dataset available at dgyoo.github.io
Comments European Conference on Computer Vision
Comments Published in Computer Vision - ECCV 2016. The final publication is available at link.springer.com/chapter/10.1007/978-3-319-46466-4_2
Comments ECCV 2016 Camera Ready
Comments Person Re-identification; 17 pages; 5 figures; In IEEE ECCV 2016
Comments to be published in: ECCV 2016 Workshops proceedings (Apparent Personality Analysis)
Comments 14 pages, plus 3 pages of references; 7 figures in ECCV 2016 Workshops
Comments 14 pages (main paper). 24 pages including references and appendix
Journal ref ECCV 2016. 14th European Conference on Computer Vision
Comments 17 pages, 6 figures
Journal ref Proceedings of 14th European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 11-14, 2016, pp 825-841
Comments Accepted to ECCV 2016, added additional references
Comments ECCV workshop BMTT 2016
Journal ref ECCV 2016 Workshops, Part II, LNCS 9914, paper approval (Chapter 3, 978-3-319-48880-6, 434776_1_En
Comments ECCV 2016, data is released
Comments Proceedings of ECCV 2016
Comments This paper shows the details of our approach in wining the ImageNet object detection challenge of 2016, with source code provided on \url{https://github.com/craftGBD/craftGBD}. The preliminary version of this paper is presented at the ECCV. Xingyu Zeng and Wanli Ouyang contributed equally
Comments 19 pages, accepted by ECCV 2016, The 14th European Conference on Computer Vision (2016)
Comments ECCV 2016 (oral). The first two authors contributed equally to this work
Comments To appear at ECCV 2016 Workshop on Video Segmentation
Comments Updated from the ECCV 2016 version. We fixed an important mathematical error and made the section on segmental inference clearer
Comments accepted to Geometry Meets Deep Learning ECCV 2016 Workshop
Comments To appear in ECCV, 2016
Comments 14 pages without references, 16 pages with. 7 figures. Accepted to ECCV 2016
Comments Accepted to ECCV 2016
Comments The main ideas of this work are published in our conference papers: "Normalized cut meets MRF" [70] (ECCV 2016) and "Secrets of Grabcut and kernel K-means" [41] (ICCV 2015)
Comments Accepted at ECCV 2016
Journal ref ECCV 2016, Part V, LNCS 9909, pp. 472-488. Springer (2016)