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Table 4 Bibliographic summary of papers in ACM digital library

From: Intelligent video surveillance: a review through deep learning techniques for crowd analysis

Author Title Keywords Journal Year
Zeng Yu and Tianrui Li and Ning Yu and Yi Pan and Hongmei Chen and Bing Liu Reconstruction of hidden representation for robust feature extraction [26] Deep architectures, auto-encoders, feature representation, reconstruction of hidden representation, unsupervised learning ACM Trans. Intell. Syst. Technol. 2019
Rahim Mammadli and Felix Wolf and Ali Jannesari The art of getting deep neural networks in shape [27] Deep neural networks, computer vision, parallel processing ACM Trans. Archit. Code Optim. 2019
Tinghui Zhou and Richard Tucker and John Flynn and Graham Fyffe and Noah Snavely Stereo magnification: learning view synthesis using multiplane images [28] Deep learning, view extrapolation ACM Trans. Graph. 2018
Zipei Fan and Xuan Song and Tianqi Xia and Renhe Jiang and Ryosuke Shibasaki and Ritsu Sakuramachi Online deep ensemble learning for predicting citywide human mobility [29] Deep learning, ensemble learning, human mobility modeling, intelligent surveillance, urban computing Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018
Rana Hanocka and Noa Fish and Zhenhua Wang and Raja Giryes and Shachar Fleishman and Daniel Cohen-Or ALIGNet: partial-shape agnostic alignment via unsupervised learning [30] Deep learning, self-supervised learning, shape deformation ACM Trans. Graph. 2018
Mengwei Xu and Feng Qian and Qiaozhu Mei and Kang Huang and Xuanzhe Liu DeepType: on-device deep learning for input personalization service with minimal privacy concern [31] Deep Learning, Mobile Computing, Personalization Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018
Thomas E. Potok and Catherine Schuman and Steven Young and Robert Patton and Federico Spedalieri and Jeremy Liu and Ke-Thia Yao and Garrett Rose and Gangotree Chakma A study of complex deep learning networks on high-performance, neuromorphic, and quantum computers [32] Deep learning, high-performance computing, neuromorphic computing, quantum computing J. Emerg. Technol. Comput. Syst. 2018
Samira Pouyanfar and Saad Sadiq and Yilin Yan and Haiman Tian and Yudong Tao and Maria Presa Reyes and Mei-Ling Shyu and Shu-Ching Chen and S. S. Iyengar A survey on deep learning: algorithms, techniques, and applications [33] Deep learning, big data, distributed processing, machine learning, neural networks, survey ACM Comput. Surv. 2018
Yonglong Tian and Guang-He Lee and Hao He and Chen-Yu Hsu and Dina Katabi RF-based fall monitoring using convolutional neural networks [34] Deep learning, Device–free, Fall Detection Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018
Probir Roy and Shuaiwen Leon Song and Sriram Krishnamoorthy and Abhinav Vishnu and Dipanjan Sengupta and Xu Liu NUMA-Caffe: NUMA-aware deep learning neural networks [35] Deep learning, NUMA, neural network, stochastic gradient descent ACM Trans. Archit. Code Optim. 2018
Charles Lovering and Anqi Lu and Cuong Nguyen and Huyen Nguyen and David Hurley and Emmanuel Agu Fact or fiction [36] Deep learning, natural language processing, sentiment analysis, social collaboration, subjectivity classification, text classification, web system Proc. ACM Hum.-Comput. Interact. 2018
Heli Ben-Hamu and Haggai Maron and Itay Kezurer and Gal Avineri and Yaron Lipman Multi-chart generative surface modeling [37] Deep learning, generative adveserial networks, shape generation ACM Trans. Graph. 2018
Weifeng Ge and Bingchen Gong and Yizhou Yu Image super-resolution via deterministic-stochastic synthesis and local statistical rectification [38] Deep learning, deterministic component, image superresolution, local correlation matrix, local gram matrix, stochastic component ACM Trans. Graph. 2018
Peter Hedman and Julien Philip and True Price and Jan-Michael Frahm and George Drettakis and Gabriel Brostow Deep blending for free-viewpoint image-based rendering [39] Deep learning, free-viewpoint, image-based rendering ACM Trans. Graph. 2018
Kalaivani Sundararajan and Damon L. Woodard Deep learning for biometrics: a survey [40] Deep learning, autoencoders, convolutional neural networks, deep belief nets, face recognition, feature learning, speaker recognition ACM Comput. Surv. 2018
Hyungjun Kim and Taesu Kim and Jinseok Kim and Jae-Joon Kim Deep neural network optimized to resistive memory with nonlinear current–voltage characteristics [41] Deep neural network, I-V nonlinearity, nonvolatile memory, perceptron J. Emerg. Technol. Comput. Syst. 2018
Cheng Wang and Haojin Yang and Christoph Meinel Image captioning with deep bidirectional LSTMs and multi-task learning [42] Deep learning, LSTM, image captioning, multimodal representations, mutli-task learning ACM Trans. Multimedia Comput. Commun. Appl. 2018
Shuochao Yao and Yiran Zhao and Huajie Shao and Aston Zhang and Chao Zhang and Shen Li and Tarek Abdelzaher RDeepSense: reliable deep mobile computing models with uncertainty estimations [43] Deep Learning, Internet-of-Things, Mobile Computing, Reliability, Uncertainty Estimation Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018
Dongyu Liu and Weiwei Cui and Kai Jin and Yuxiao Guo and Huamin Qu DeepTracker: visualizing the training process of convolutional neural networks [44] Deep learning, correlation analysis, multiple time series, training process, visual analytics ACM Trans. Intell. Syst. Technol. 2018
Li Yi and Haibin Huang and Difan Liu and Evangelos Kalogerakis and Hao Su and Leonidas Guibas Deep part induction from articulated object pairs [45] Deep learning, differentiable sequential RANSAC, motion based part segmentation, shape correspondences ACM Trans. Graph. 2018
Nanxuan Zhao and Ying Cao and Rynson W. H. Lau What characterizes personalities of graphic designs? [46] Deep learning, graphic design, personality ACM Trans. Graph. 2018
Jiwei Tan and Xiaojun Wan and Hui Liu and Jianguo Xiao QuoteRec: toward quote recommendation for writing [47] Deep learning, LSTM, document recommendation, quote recommendation ACM Trans. Inf. Syst. 2018
Yanru Qu and Bohui Fang and Weinan Zhang and Ruiming Tang and Minzhe Niu and Huifeng Guo and Yong Yu and Xiuqiang He Product-based neural networks for user response prediction over multi-field categorical data [48] Deep learning, product-based neural network, recommender system ACM Trans. Inf. Syst. 2018
Kangxue Yin and Hui Huang and Daniel Cohen-Or and Hao Zhang P2P-NET: bidirectional point displacement net for shape transform [49] Deep neural network, point cloud processing, point set transform, point-wise displacement ACM Trans. Graph. 2018
Shuochao Yao and Yiran Zhao and Huajie Shao and Chao Zhang and Aston Zhang and Shaohan Hu and Dongxin Liu and Shengzhong Liu and Lu Su and Tarek Abdelzaher SenseGAN: enabling deep learning for internet of things with a semi-supervised framework [50] Deep Learning, GAN, Internet-of-Things, Mobile Computing, Semi-Supervised Learning Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018
Shunsuke Saito and Liwen Hu and Chongyang Ma and Hikaru Ibayashi and Linjie Luo and Hao Li 3D hair synthesis using volumetric variational autoencoders [51] Deep generative model, hair synthesis, single-view modeling, volumetric variational autoencoder ACM Trans. Graph. 2018
Anpei Chen and Minye Wu and Yingliang Zhang and Nianyi Li and Jie Lu and Shenghua Gao and Jingyi Yu Deep surface light fields [52] Deep Neural Network, Image-based Rendering, Real-time Rendering Proc. ACM Comput. Graph. Interact. Tech. 2018