《从CVPR 2014看计算机视觉领域的最新热点》读后随想

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《从CVPR 2014看计算机视觉领域的最新<a href=https://www.elefans.com/category/jswz/34/1768365.html style=热点》读后随想"/>

《从CVPR 2014看计算机视觉领域的最新热点》读后随想

《从CVPR 2014看计算机视觉领域的最新热点》提供了一个了解CVPR的窗口,阅读后结合自身工作有些随想记录在此。

1、尚未被深度学习渗透的Low-level Vision ;
2、Depth Sensor(深度传感器)及深度图像;
这两点都可以作为对非深度学习值得深入的方向 。

其中包括3A算法在内的去模糊、稳像、图像抠图、去涂鸦适合以技术技能在图像处理方面的EG,这个方向一直在发展,受到机器学习算法的影响较小,对于美图类应用、手机及芯片制造商来说,还是热门技术 

计算机视觉一直在发展,热像仪、车载夜视仪、安防的指纹人脸门禁考勤机,视频行为分析摄像机、ADAS防碰撞电子后视镜等,到微软的kinect、灵格深瞳的RGB-D相机,再到360全景相机,作为前段的采集分析设备一直在革新,嵌入式软件工程师在创业型公司(如DGI)是越来越火,源于智能硬件的兴起 。

附1.

Face Alignment

New Project: An Empirical Study of Recent Face Alignment Methods

Related Papers [the bib file is attached at the end]

  1. 2015

  2. Xi Peng, Yu Yang, Shaoting Zhang, Dimitris Metaxas, PIEFA: Personalized Incremental and Ensemble Face Alignment in the Wild, ICCV 2015.
  3. Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen, Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network, ICCV, 2015.
  4. Amin Jourabloo, Xiaoming Liu, Pose-Invariant 3D Face Alignment, ICCV, 2015.
  5. Georgios Tzimiropoulos, Project-Out Cascaded Regression With an Application to Face Alignment, CVPR, 2015. 
  6. E. Antonakos, J. Alabort-i-Medina, S. Zafeiriou, Active Pictorial Structures, CVPR, 2015. [CODE]
  7. Donghoon Lee, Hyunsin Park, Chang D. Yoo, Face Alignment Using Cascade Gaussian Process Regression Trees, CVPR, 2015. 
  8. S. Zhu, C. Li, C. C. Loy, X. Tang, Face Alignment by Coarse-to-Fine Shape Searching, CVPR, 2015. 
  9. X. Xiong and F. De la Torre, Global Supervised Descent Method, CVPR 2015.
  10. J. Alabort-i-Medina, S. Zafeiriou, "Unifying Holistic and Parts-Based Deformable Model Fitting", CVPR, 2015.
  11. Pei-Lun Hsieh, Chongyang Ma, Jihun Yu, Hao Li, UNCONSTRAINED REALTIME FACIAL PERFORMANCE CAPTURE, CVPR, 2015. 
  12. Heng Yang, Ioannis Patras, "Mirror mirror on the wall, tell me, is the error small? ", CVPR 2015.
  13. Heng Yang et al. "Face alignment assisted by head pose estimation", BMVC 2015. 
  14. Golnaz Ghiasi and Charless C. Fowlkes. "Using Segmentation to Predict the Absence of Occluded Parts", BMVC 2015. 

    2014

  15. Pedersoli, Marco and Timofte, Radu and Tuytelaars, Tinne and Gool, Luc Van: "Using a deformation field model for localizing faces and facial points under weak supervision", CVPR,2014.
  16. J. Alabort-i-medina, E. Antonakos, J. Booth, P. T. Snape, S. Zafeiriou, Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable ModelsACM Multimedia, Open Source Software Competition, 2014. [CODE]
  17. Baltrušaitis, Tadas and Robinson, Peter and  Morency, Louis-Philippe: "Continuous Conditional Neural Fields for Structured Regression", ECCV, 2014. [CODE]
  18. Wu, Yue and Wang, Ziheng and Ji, Qiang: "A Hierarchical Probabilistic Model for Facial Feature Detection", CVPR,2014.
  19. Xing, Junliang and Niu, Zhiheng and Huang, Junshi and Hu, Weiming and Yan, Shuicheng: "Towards Multi-view and Partially-Occluded Face Alignment", CVPR,2014.
  20. Fowlkes, Golnaz Ghiasi Charless C: "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", CVPR,2014.
  21. Smith, Brandon M and Zhang, Li: "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", ECCV,2014.
  22. Yu, Xiang and Lin, Zhe and Brandt, Jonathan and Metaxas, Dimitris N: "Consensus of Regression for Occlusion-Robust Facial Feature Localization", ECCV,2014.
  23. Chen, Dong and Ren, Shaoqing and Wei, Yichen and Cao, Xudong and Sun, Jian: "Joint Cascade Face Detection and Alignment",ECCV,2014.
  24. Zafeiriou, Lazaros and Antonakos, Epameinondas and Zafeiriou, Stefanos and Pantic, Maja: "Joint Unsupervised Face Alignment and Behaviour Analysis", ECCV,2014.
  25. Zhang, Zhanpeng and Luo, Ping and Loy, Chen Change and Tang, Xiaoou: "Facial Landmark Detection by Deep Multi-task Learning",ECCV,2014.[CODE and DATASET]
  26. Kazemi, Vahid and Sullivan, Josephine: "One Millisecond Face Alignment with an Ensemble of Regression Trees",CVPR,2014.[CODE]
  27. Zhang, Jie and Shan, Shiguang and Kan, Meina and Chen, Xilin: "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", ECCV,2014.[CODE]
  28. Ren, Shaoqing and Cao, Xudong and Wei, Yichen and Sun, Jian: "Face Alignment at 3000 FPS via Regressing Local Binary Features", CVPR,2014.
  29. Tzimiropoulos, Georgios and Pantic, Maja: "Gauss-newton deformable part models for face alignment in-the-wild", CVPR,2014. [CODE]
  30. Asthana, Akshay and Zafeiriou, Stefanos and Cheng, Shiyang and Pantic, Maja: "Incremental Face Alignment in the Wild", CVPR,2014.[CODE]
  31. Smith, Brandon M and Brandt, Jonathan and Lin, Zhe and Zhang, Li: "Nonparametric Context Modeling of Local Appearance for Pose-and Expression-Robust Facial Landmark Localization", CVPR,2014.
  32. Yang, Heng and Zou, Changqing and Patras, Ioannis: "Face sketch landmarks localization in the wild", IEEE Signal Processing Letters,2014. [CODE]
  33. Jia, Xuhui and Yang, Heng and Lin, Angran and Chan, Kwok-Ping and Patras, Ioannis: "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", BMVC,2014.

    2013

  34. Sagonas, Christos and Tzimiropoulos, Georgios and Zafeiriou, Stefanos and Pantic, Maja: "300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge", ICCV,2013. [DATASET]
  35. Sagonas, C. and Tzimiropoulos, G. and Zafeiriou, S. and Pantic, M.: "A Semi-automatic Methodology for Facial Landmark Annotation", CVPRW,2013.
  36. Zhao, Xiaowei and Shan, Shiguang and Chai, Xiujuan and Chen, Xilin: "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", ICCV,2013.
  37. Cox, M and Nuevo-Chiquero, J and Saragih, JM and Lucey, S: "CSIRO Face Analysis SDK", AFGR,2013. [CODE]
  38. Sun, Yi and Wang, Xiaogang and Tang, Xiaoou: "Deep Convolutional Network Cascade for Facial Point Detection", CVPR,2013. [CODE]
  39. Cheng, Xin and Fookes, Clinton B and Sridharan, Sridha and Saragih, Jason and Lucey, Simon: "Deformable face ensemble alignment with robust grouped-L1 anchors", AFGR,2013.
  40. Shen, Xiaohui and Lin, Zhe and Brandt, Jonathan and Wu, Ying: "Detecting and aligning faces by image retrieval", CVPR,2013.
  41. Zhou, Feng and Brandt, Jonathan and Lin, Zhe: "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", ICCV,2013.
  42. Yu, Xiang and Yang, Fei and Huang, Junzhou and Metaxas, DN: "Explicit occlusion detection based deformable fitting for facial landmark localization", AFGRW,2013.
  43. Wu, Yue and Wang, Zuoguan and Ji, Qiang: "Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines", CVPR,2013.
  44. Zhou, E. and Fan, H. and Cao, Z. and Y., Jiang and Yin, Q.: "Facial landmark localization with coarse-to-fine convolutional network cascade", ICCVW,2013.
  45. Yan, Junjie and Lei, Zhen and Yi, Dong and Li, Stan Z: "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", ICCVW,2013.
  46. Yu, Xiang and Huang, Junzhou and Zhang, Shaoting and Yan, Wang and Metaxas, Dimitris N.: "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", ICCV,2013. [CODE]
  47. Yang, Heng and Patras, Ioannis: "Privileged Information-based Conditional Regression Forests for Facial Feature Detection", AFGR,2013.
  48. Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc: "Random forests for real time 3d face analysis", IJCV,2013.
  49. Burgos-Artizzu, Xavier P and Perona, Pietro and Doll{\'a}r, Piotr: "Robust face landmark estimation under occlusion", ICCV,2013. [CODE]
  50. Yang, H and Patras, I.: "Sieving regression forests votes for facial feature detection in the wild", ICCV,2013. [CODE]
  51. Xiong, Xuehan and De la Torre, Fernando: "Supervised Descent Method and its Applications to Face Alignment", CVPR,2013. [CODE]

    2012

  52. Cao, X. and Wei, Y. and Wen, F. and Sun, J.: "Face alignment by explicit shape regression", CVPR,2012.
  53. Zhu, X. and Ramanan, D: "Face detection, pose estimation and landmark localization in the wild", CVPR,2012. [CODE]
  54. Yang, H. and Patras, I.: "Face Parts Localization Using Structured-output Regression Forests", ACCV,2012. [CODE]
  55. Le, Vuong and Brandt, Jonathan and Lin, Zhe and Bourdev, Lubomir and Huang, Thomas S: "Interactive facial feature localization", ECCV,2012.
  56. Martinez, B and Valstar, M and Binefa, X and Pantic, M: "Local Evidence Aggregation for Regression Based Facial Point Detection", T-PAMI,2012.
  57. Dantone, M. and Gall, J. and Fanelli, G. and {Van Gool}, L.: "Real-time facial feature detection using conditional regression forests", CVPR,2012.[CODE]

    2011

  58. Cocsar, S and \c{C}etin, M: "A graphical model based solution to the facial feature point tracking problem", Image and Vision Computing,2011.
  59. Kostinger, M and Wohlhart, P and Roth, P M and Bischof, H: "Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization", ICCVW,2011.
  60. Roh, Myung-Cheol and Oguri, Takaharu and Kanade, Takeo: "Face alignment robust to occlusion", AFGR,2011.
  61. Efraty, B and Huang, C and Shah, S K and Kakadiaris, I A: "Facial landmark detection in uncontrolled conditions", IJCB,2011.
  62. Belhumeur, P N and Jacobs, D W and Kriegman, D J and Kumar, N: "Localizing parts of faces using a consensus of exemplars", CVPR,2011.
  63. Rapp, V and Senechal, T and Bailly, K and Prevost, L: "Multiple kernel learning svm and statistical validation for facial landmark detection", AFGR,2011.
  64. Yang, Fei and Huang, Junzhou and Metaxas, Dimitris: "Sparse shape registration for occluded facial feature localization", AFGR,2011.
  65. Valstar, M F and Jiang, B and Mehu, M and Pantic, M and Scherer, K: "The first facial expression recognition and analysis challenge", AFGR,2011.

    2010

  66. Valstar, M and Martinez, B and Binefa, X and Pantic, M: "Facial point detection using boosted regression and graph models", CVPR,2010.
  67. Milborrow, S and Morkel, J and Nicolls, F: "The MUCT landmarked face database", Journal of Pattern Recognition Association of South Africa,2010.
  68. Saragih, J M and Lucey, S and Cohn, J F: "Face alignment through subspace constrained mean-shifts", ICCV,2009.
  69. Ekenel, Haz{\i}m and Stiefelhagen, Rainer: "Why is facial occlusion a challenging problem?", Advances in Biometrics,2009.
  70. Liang, L and Xiao, R and Wen, F and Sun, J: "Face alignment via component-based discriminative search", ECCV,2008.
  71. Milborrow, S and Nicolls, F: "Locating facial features with an extended active shape model", ECCV,2008.
  72. Kasinski, A and Florek, A and Schmidt, A: "The put face database", Image Processing and Communications,2008.
  73. Huang, Gary B and Ramesh, Manu and Berg, Tamara and Learned-Miller, Erik: "Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments", ,2007.
  74. Liang, L and Wen, F and Xu, Y Q and Tang, X and Shum, H Y: "Accurate face alignment using shape constrained Markov network", CVPR,2006.
  75. Vukadinovic, D and Pantic, M: "Fully automatic facial feature point detection using Gabor feature based boosted classifiers", SMC,2005.
  76. Liao, C T and Wu, Y K and Lai, S H: "Locating facial feature points using support vector machines", International Workshop on Cellular Neural Networks and Their Applications,2005.
  77. Viola, P and Jones, M J: "Robust real-time face detection", International journal of computer vision,2004.
  78. Feris, R S and Gemmell, J and Toyama, K and Kruger, V: "Hierarchical wavelet networks for facial feature localization", AFGR,2002.
  79. Jesorsky, O and Kirchberg, K and Frischholz, R: "Robust face detection using the hausdorff distance", Audio-and Video-Based Biometric Person Authentication,2001.
  80. Cootes, Timothy F and Edwards, Gareth J and Taylor, Christopher J: "Active appearance models", ECCV, 1998. (AAM)
  81. Cristinacce, David and Cootes, Timothy F: "Feature Detection and Tracking with Constrained Local Models", BMVC, 2006. (CLM)
  82. Cootes, Timothy F and Taylor, Christopher J and Cooper, David H and Graham, Jim: "Active shape models-their training and application", Computer vision and image understanding, 1995. (ASM)
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《从CVPR 2014看计算机视觉领域的最新热点》读后随想

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