Papers
Some Like It Hot - Visual Guidance for Preference Prediction
Rasmus Rothe, Radu Timofte, Luc Van Gool
Sparse Coding and Dictionary Learning With Linear Dynamical Systems
Wenbing Huang, Fuchun Sun, Lele Cao et al.
Sparse Coding for Classification via Discrimination Ensemble
Yuhui Quan, Yong Xu, Yuping Sun et al.
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition
Piotr Koniusz, Anoop Cherian
Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video
Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos et al.
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.