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EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisMehdi S. M. Sajjadi;Bernhard Schölkopf;Michael HirschPublication Year: 2017,Page(s):4501 – 4510Cited by: Papers (404)
Pose-Driven Deep Convolutional Model for Person Re-identificationChi Su;Jianing Li;Shiliang Zhang;Junliang Xing;Wen Gao;Qi TianPublication Year: 2017,Page(s):3980 – 3989Cited by: Papers (389)
Photographic Image Synthesis with Cascaded Refinement NetworksQifeng Chen;Vladlen KoltunPublication Year: 2017,Page(s):1520 – 1529Cited by: Papers (385)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud ModelsRoman Klokov;Victor LempitskyPublication Year: 2017,Page(s):863 – 872Cited by: Papers (378)
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Deeply-Learned Part-Aligned Representations for Person Re-identificationLiming Zhao;Xi Li;Yueting Zhuang;Jingdong WangPublication Year: 2017,Page(s):3239 – 3248Cited by: Papers (353)
Learning Dynamic Siamese Network for Visual Object TrackingQing Guo;Wei Feng;Ce Zhou;Rui Huang;Liang Wan;Song WangPublication Year: 2017,Page(s):1781 – 1789Cited by: Papers (339)
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Learning Multi-attention Convolutional Neural Network for Fine-Grained Image RecognitionHeliang Zheng;Jianlong Fu;Tao Mei;Jiebo LuoPublication Year: 2017,Page(s):5219 – 5227Cited by: Papers (330)
Interpretable Explanations of Black Boxes by Meaningful PerturbationRuth C. Fong;Andrea VedaldiPublication Year: 2017,Page(s):3449 – 3457Cited by: Papers (328)
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The Mapillary Vistas Dataset for Semantic Understanding of Street ScenesGerhard Neuhold;Tobias Ollmann;Samuel Rota Bulò;Peter KontschiederPublication Year: 2017,Page(s):5000 – 5009Cited by: Papers (308)
CREST: Convolutional Residual Learning for Visual TrackingYibing Song;Chao Ma;Lijun Gong;Jiawei Zhang;Rynson W.H. Lau;Ming-Hsuan YangPublication Year: 2017,Page(s):2574 – 2583Cited by: Papers (306)
Video Frame Synthesis Using Deep Voxel FlowZiwei Liu;Raymond A. Yeh;Xiaoou Tang;Yiming Liu;Aseem AgarwalaPublication Year: 2017,Page(s):4473 – 4481Cited by: Papers (295)
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D OutputsMaxim Tatarchenko;Alexey Dosovitskiy;Thomas BroxPublication Year: 2017,Page(s):2107 – 2115Cited by: Papers (294)
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DSOD: Learning Deeply Supervised Object Detectors from ScratchZhiqiang Shen;Zhuang Liu;Jianguo Li;Yu-Gang Jiang;Yurong Chen;Xiangyang XuePublication Year: 2017,Page(s):1937 – 1945Cited by: Papers (288)
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View SynthesisRui Huang;Shu Zhang;Tianyu Li;Ran HePublication Year: 2017,Page(s):2458 – 2467Cited by: Papers (278)
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthMahdi Rad;Vincent LepetitPublication Year: 2017,Page(s):3848 – 3856Cited by: Papers (272)
Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNsVishwanath A. Sindagi;Vishal M. PatelPublication Year: 2017,Page(s):1879 – 1888Cited by: Papers (269)
Genetic CNNLingxi Xie;Alan YuillePublication Year: 2017,Page(s):1388 – 1397Cited by: Papers (269)
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