Papers
Sparse to Dense 3D Reconstruction From Rolling Shutter Images
Olivier Saurer, Marc Pollefeys, Gim Hee Lee
Sparsifying Neural Network Connections for Face Recognition
Yi Sun, Xiaogang Wang, Xiaoou Tang
Spatially Binned ROC: A Comprehensive Saliency Metric
Calden Wloka, John Tsotsos
Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction
Minh Vo, Srinivasa G. Narasimhan, Yaser Sheikh
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
Han Zhang, Tao Xu, Mohamed Elhoseiny et al.
Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer
Oriel Frigo, Neus Sabater, Julie Delon et al.
Stacked Attention Networks for Image Question Answering
Zichao Yang, Xiaodong He, Jianfeng Gao et al.
Staple: Complementary Learners for Real-Time Tracking
Luca Bertinetto, Jack Valmadre, Stuart Golodetz et al.
STCT: Sequentially Training Convolutional Networks for Visual Tracking
Lijun Wang, Wanli Ouyang, Xiaogang Wang et al.
Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions
Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im et al.
Structural Correlation Filter for Robust Visual Tracking
Si Liu, Tianzhu Zhang, Xiaochun Cao et al.
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese et al.
Structured Feature Learning for Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li et al.
Structured Feature Similarity With Explicit Feature Map
Takumi Kobayashi
Structured Prediction of Unobserved Voxels From a Single Depth Image
Michael Firman, Oisin Mac Aodha, Simon Julier et al.
Structured Receptive Fields in CNNs
Jorn-Henrik Jacobsen, Jan van Gemert, Zhongyu Lou et al.
Structured Regression Gradient Boosting
Ferran Diego, Fred A. Hamprecht
Structure-From-Motion Revisited
Johannes L. Schonberger, Jan-Michael Frahm
Structure From Motion With Objects
Marco Crocco, Cosimo Rubino, Alessio Del Bue
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Zhiwei Deng, Arash Vahdat, Hexiang Hu et al.
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang et al.
Sublabel-Accurate Relaxation of Nonconvex Energies
Thomas Mollenhoff, Emanuel Laude, Michael Moeller et al.
Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming
Yongfang Cheng, Yin Wang, Mario Sznaier et al.
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha et al.
Supervised Quantization for Similarity Search
Xiaojuan Wang, Ting Zhang, Guo-Jun Qi et al.