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 MethodsRelated Papers [the bib file is attached at the end] |
2015
- Xi Peng, Yu Yang, Shaoting Zhang, Dimitris Metaxas, PIEFA: Personalized Incremental and Ensemble Face Alignment in the Wild, ICCV 2015.
- Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen, Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network, ICCV, 2015.
- Amin Jourabloo, Xiaoming Liu, Pose-Invariant 3D Face Alignment, ICCV, 2015.
- Georgios Tzimiropoulos, Project-Out Cascaded Regression With an Application to Face Alignment, CVPR, 2015.
- E. Antonakos, J. Alabort-i-Medina, S. Zafeiriou, Active Pictorial Structures, CVPR, 2015. [CODE]
- Donghoon Lee, Hyunsin Park, Chang D. Yoo, Face Alignment Using Cascade Gaussian Process Regression Trees, CVPR, 2015.
- S. Zhu, C. Li, C. C. Loy, X. Tang, Face Alignment by Coarse-to-Fine Shape Searching, CVPR, 2015.
- X. Xiong and F. De la Torre, Global Supervised Descent Method, CVPR 2015.
- J. Alabort-i-Medina, S. Zafeiriou, "Unifying Holistic and Parts-Based Deformable Model Fitting", CVPR, 2015.
- Pei-Lun Hsieh, Chongyang Ma, Jihun Yu, Hao Li, UNCONSTRAINED REALTIME FACIAL PERFORMANCE CAPTURE, CVPR, 2015.
- Heng Yang, Ioannis Patras, "Mirror mirror on the wall, tell me, is the error small? ", CVPR 2015.
- Heng Yang et al. "Face alignment assisted by head pose estimation", BMVC 2015.
- Golnaz Ghiasi and Charless C. Fowlkes. "Using Segmentation to Predict the Absence of Occluded Parts", BMVC 2015.
2014
- 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.
- J. Alabort-i-medina, E. Antonakos, J. Booth, P. T. Snape, S. Zafeiriou, Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models, ACM Multimedia, Open Source Software Competition, 2014. [CODE]
- Baltrušaitis, Tadas and Robinson, Peter and Morency, Louis-Philippe: "Continuous Conditional Neural Fields for Structured Regression", ECCV, 2014. [CODE]
- Wu, Yue and Wang, Ziheng and Ji, Qiang: "A Hierarchical Probabilistic Model for Facial Feature Detection", CVPR,2014.
- Xing, Junliang and Niu, Zhiheng and Huang, Junshi and Hu, Weiming and Yan, Shuicheng: "Towards Multi-view and Partially-Occluded Face Alignment", CVPR,2014.
- Fowlkes, Golnaz Ghiasi Charless C: "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", CVPR,2014.
- Smith, Brandon M and Zhang, Li: "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", ECCV,2014.
- Yu, Xiang and Lin, Zhe and Brandt, Jonathan and Metaxas, Dimitris N: "Consensus of Regression for Occlusion-Robust Facial Feature Localization", ECCV,2014.
- Chen, Dong and Ren, Shaoqing and Wei, Yichen and Cao, Xudong and Sun, Jian: "Joint Cascade Face Detection and Alignment",ECCV,2014.
- Zafeiriou, Lazaros and Antonakos, Epameinondas and Zafeiriou, Stefanos and Pantic, Maja: "Joint Unsupervised Face Alignment and Behaviour Analysis", ECCV,2014.
- 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]
- Kazemi, Vahid and Sullivan, Josephine: "One Millisecond Face Alignment with an Ensemble of Regression Trees",CVPR,2014.[CODE]
- 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]
- Ren, Shaoqing and Cao, Xudong and Wei, Yichen and Sun, Jian: "Face Alignment at 3000 FPS via Regressing Local Binary Features", CVPR,2014.
- Tzimiropoulos, Georgios and Pantic, Maja: "Gauss-newton deformable part models for face alignment in-the-wild", CVPR,2014. [CODE]
- Asthana, Akshay and Zafeiriou, Stefanos and Cheng, Shiyang and Pantic, Maja: "Incremental Face Alignment in the Wild", CVPR,2014.[CODE]
- 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.
- Yang, Heng and Zou, Changqing and Patras, Ioannis: "Face sketch landmarks localization in the wild", IEEE Signal Processing Letters,2014. [CODE]
- 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
- 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]
- Sagonas, C. and Tzimiropoulos, G. and Zafeiriou, S. and Pantic, M.: "A Semi-automatic Methodology for Facial Landmark Annotation", CVPRW,2013.
- Zhao, Xiaowei and Shan, Shiguang and Chai, Xiujuan and Chen, Xilin: "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", ICCV,2013.
- Cox, M and Nuevo-Chiquero, J and Saragih, JM and Lucey, S: "CSIRO Face Analysis SDK", AFGR,2013. [CODE]
- Sun, Yi and Wang, Xiaogang and Tang, Xiaoou: "Deep Convolutional Network Cascade for Facial Point Detection", CVPR,2013. [CODE]
- 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.
- Shen, Xiaohui and Lin, Zhe and Brandt, Jonathan and Wu, Ying: "Detecting and aligning faces by image retrieval", CVPR,2013.
- Zhou, Feng and Brandt, Jonathan and Lin, Zhe: "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", ICCV,2013.
- Yu, Xiang and Yang, Fei and Huang, Junzhou and Metaxas, DN: "Explicit occlusion detection based deformable fitting for facial landmark localization", AFGRW,2013.
- 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.
- 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.
- Yan, Junjie and Lei, Zhen and Yi, Dong and Li, Stan Z: "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", ICCVW,2013.
- 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]
- Yang, Heng and Patras, Ioannis: "Privileged Information-based Conditional Regression Forests for Facial Feature Detection", AFGR,2013.
- 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.
- Burgos-Artizzu, Xavier P and Perona, Pietro and Doll{\'a}r, Piotr: "Robust face landmark estimation under occlusion", ICCV,2013. [CODE]
- Yang, H and Patras, I.: "Sieving regression forests votes for facial feature detection in the wild", ICCV,2013. [CODE]
- Xiong, Xuehan and De la Torre, Fernando: "Supervised Descent Method and its Applications to Face Alignment", CVPR,2013. [CODE]
2012
- Cao, X. and Wei, Y. and Wen, F. and Sun, J.: "Face alignment by explicit shape regression", CVPR,2012.
- Zhu, X. and Ramanan, D: "Face detection, pose estimation and landmark localization in the wild", CVPR,2012. [CODE]
- Yang, H. and Patras, I.: "Face Parts Localization Using Structured-output Regression Forests", ACCV,2012. [CODE]
- Le, Vuong and Brandt, Jonathan and Lin, Zhe and Bourdev, Lubomir and Huang, Thomas S: "Interactive facial feature localization", ECCV,2012.
- Martinez, B and Valstar, M and Binefa, X and Pantic, M: "Local Evidence Aggregation for Regression Based Facial Point Detection", T-PAMI,2012.
- 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
- Cocsar, S and \c{C}etin, M: "A graphical model based solution to the facial feature point tracking problem", Image and Vision Computing,2011.
- 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.
- Roh, Myung-Cheol and Oguri, Takaharu and Kanade, Takeo: "Face alignment robust to occlusion", AFGR,2011.
- Efraty, B and Huang, C and Shah, S K and Kakadiaris, I A: "Facial landmark detection in uncontrolled conditions", IJCB,2011.
- 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.
- Rapp, V and Senechal, T and Bailly, K and Prevost, L: "Multiple kernel learning svm and statistical validation for facial landmark detection", AFGR,2011.
- Yang, Fei and Huang, Junzhou and Metaxas, Dimitris: "Sparse shape registration for occluded facial feature localization", AFGR,2011.
- 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
- Valstar, M and Martinez, B and Binefa, X and Pantic, M: "Facial point detection using boosted regression and graph models", CVPR,2010.
- Milborrow, S and Morkel, J and Nicolls, F: "The MUCT landmarked face database", Journal of Pattern Recognition Association of South Africa,2010.
- Saragih, J M and Lucey, S and Cohn, J F: "Face alignment through subspace constrained mean-shifts", ICCV,2009.
- Ekenel, Haz{\i}m and Stiefelhagen, Rainer: "Why is facial occlusion a challenging problem?", Advances in Biometrics,2009.
- Liang, L and Xiao, R and Wen, F and Sun, J: "Face alignment via component-based discriminative search", ECCV,2008.
- Milborrow, S and Nicolls, F: "Locating facial features with an extended active shape model", ECCV,2008.
- Kasinski, A and Florek, A and Schmidt, A: "The put face database", Image Processing and Communications,2008.
- 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.
- 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.
- Vukadinovic, D and Pantic, M: "Fully automatic facial feature point detection using Gabor feature based boosted classifiers", SMC,2005.
- 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.
- Viola, P and Jones, M J: "Robust real-time face detection", International journal of computer vision,2004.
- Feris, R S and Gemmell, J and Toyama, K and Kruger, V: "Hierarchical wavelet networks for facial feature localization", AFGR,2002.
- Jesorsky, O and Kirchberg, K and Frischholz, R: "Robust face detection using the hausdorff distance", Audio-and Video-Based Biometric Person Authentication,2001.
- Cootes, Timothy F and Edwards, Gareth J and Taylor, Christopher J: "Active appearance models", ECCV, 1998. (AAM)
- Cristinacce, David and Cootes, Timothy F: "Feature Detection and Tracking with Constrained Local Models", BMVC, 2006. (CLM)
- 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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