Hierarchical semantic segmentation of image scene with object labeling

Z Zhang, S Fidler, R Urtasun, in IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs (IEEE Computer SocietyLas Vegas, 2016).

C Yan, H Xie, D Yang, et al, Supervised hash coding with deep neural network for environment perception of intelligent vehicles.IEEE Trans. Intelligent Transportation Systems. 19(1), 284–295 (2018).

C Yan, H Xie, S Liu, J Yin, Y Zhang, Q Dai, Effective uyghur language text detection in complex background images for traffic prompt identification.IEEE Trans. Intelligent Transportation Systems. 19(1), 220–229 (2018).

J Shotton, J Winn, C Rother, et al, Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. Int. J. Comput. Vis.81(1), 2–23 (2009).

J Xiao, L Quan, in IEEE Int. Conf. Computer Vision. Multiple view semantic segmentation for street view images (IEEE Computer SocietyKyoto, 2009), pp. 686–693.

J Yao, S Fidler, R Urtasun, in The IEEE Conference on Computer Vision and Pattern Recognition. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation (IEEE Computer SocietyProvidence, 2012), pp. 702–709.

X Ren, L Bo, D Fox, in the IEEE Conference on Computer Vision and Pattern Recognition. RGB-(D) scene labeling: Features and algorithms (IEEE Computer SocietyProvidence, 2012), pp. 2759–2766.

J Tighe, M Niethammer, S Lazebnik, in The IEEE Conference on Computer Vision and Pattern Recognition. Scene parsing with object instances and occlusion ordering (IEEE Computer SocietyColumbus, 2014), pp. 3748–3755.

C Liu, J Yuen, A Torralba, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Nonparametric scene parsing: Label transfer via dense scene alignment (IEEEMiami, 2009), pp. 1972–1979.

H Zhang, J Xiao, L Quan, in Proceedings of European Conference on Computer Vision. Supervised label transfer for semantic segmentation of street scenes (SpringerCrete, 2010), pp. 561–574.

J Tighe, S Lazebnik, in Proceedings of European Conference on Computer Vision. Superparsing: Scalable nonparametric image parsing with superpixels (SpringerCrete, 2010), pp. 352–365.

X Chen, Q Li, Y Song, et al, in Proceedings of European Conference on Computer Vision. Supervised geodesic propagation for semantic label transfer (SpringerFlorence, 2012), pp. 553–565.

H Zhang, T Fang, X Chen, et al, in 24th IEEE Conference on Computer Vision and Pattern Recognition. Partial similarity based nonparametric scene parsing in certain environment (IEEE Computer SocietyColorado Springs, 2011), pp. 2241–2248.

J Tighe, S Lazebnik, in IEEE Conference on Computer Vision and Pattern Recognition. Finding things: Image parsing with regions and per-exemplar detectors (IEEE Computer SocietyPortland, 2013), pp. 3001–3008.

X He, S Gould, in IEEE Conference on Computer Vision and Pattern Recognition. An exemplar-based CRF for multi-instance object segmentation (IEEE Computer SocietyColumbus, 2014), pp. 296–303.

BL Price, BS Morse, S Cohen, in The IEEE Conference on Computer Vision and Pattern Recognition. Geodesic graph cut for interactive image segmentation (IEEE Computer SocietySan Francisco, 2010), pp. 3161–3168.

D Batra, A Kowdle, D Parikh, et al, Interactively co-segmentating topically related images with intelligent scribble guidance. Int. J. Comput. Vis.93(3), 273–292 (2011).

J Wu, Y Zhao, J Zhu, et al, in IEEE Conference on Computer Vision and Pattern Recognition. Milcut: A sweeping line multiple instance learning paradigm for interactive image segmentation (IEEE Computer SocietyColumbus, 2014), pp. 256–263.

C Rother, TP Minka, A Blake, et al, in IEEE Conference on Computer Vision and Pattern Recognition. Cosegmentation of image pairs by histogram matching - incorporating a global constraint into mrfs (IEEE Computer SocietyNew York, 2006), pp. 993–1000.

S Vicente, V Kolmogorov, C Rother, in 11th European Conference on Computer Vision. Cosegmentation revisited: Models and optimization (SpringerCrete, 2010), pp. 465–479.

S Vicente, C Rother, V Kolmogorov, in The 24th IEEE Conference on Computer Vision and Pattern Recognition. Object cosegmentation (IEEE Computer SocietyColorado Springs, 2011), pp. 2217–2224.

X Liang, Y Wei, X Shen, et al, Proposal-free network for instance-level semantic object segmentation. IEEE Transaactions on Pattern Analysis and Machine Intelligence (2018). https://doi.org/10.1109/TPAMI.2017.2775623 .

Y Chen, X Liu, M Yang, in CVPR. Multi-instance object segmentation with occlusion handling (IEEE Computer SocietyBoston, 2015), pp. 3470–3478.

A Levinshtein, A Stere, KN Kutulakos, DJ Fleet, SJ Dickinson, K Siddiqi, Turbopixels: Fast superpixels using geometric flows. IEEE Trans. Pattern Anal. Mach. Intell.31(12), 2290–2297 (2009).

P Arbelaez, M Maire, CC Fowlkes, J Malik, Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell.33(5), 898–916 (2011).

PF Felzenszwalb, RB Girshick, DA McAllester, D Ramanan, Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell.32(9), 1627–1645 (2010).

Y Boykov, O Veksler, R Zabih, Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell.23(11), 1222–1239 (2001).

S Goferman, L Zelnik-Manor, A Tal, Context-aware saliency detection. IEEE Trans. Pattern Anal. Mach. Intell.34(10), 1915–1926 (2012).

M Cheng, NJ Mitra, X Huang, PHS Torr, S Hu, Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell.37(3), 569–582 (2015).

A Farhadi, I Endres, D Hoiem, DA Forsyth, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009). Describing objects by their attributes (IEEE Computer SocietyMiami, 2009), pp. 1778–1785.

Q Li, X Chen, Y Song, Y Zhang, X Jin, Q Zhao, Geodesic propagation for semantic labeling. IEEE Trans. Image Process.23(11), 4812–4825 (2014).

H Riemenschneider, S Sternig, M Donoser, et al, in Proceedings of European Conference on Computer Vision. Hough regions for joining instance localization and segmentation (SpringerFlorence, 2012), pp. 258–271.

M Andriluka, B Schiele, S Roth, in the IEEE Conference on Computer Vision and Pattern Recognition. People-tracking-by-detection and people-detection-by-tracking (IEEE Computer SocietyAnchorage, 2008), pp. 2759–2766.

C Yan, Y Zhang, J Xu, F Dai, L Li, Q Dai, F Wu, A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Signal Process. Lett.21(5), 573–576 (2014).

CC Yan, Y Zhang, J Xu, F Dai, J Zhang, Q Dai, F Wu, Efficient parallel framework for HEVC motion estimation on many-core processors. IEEE Trans. Circ. Syst. Video Techn.24(12), 2077–2089 (2014).