Papers
Single Image Calibration of Multi-axial Imaging Systems
Amit Agrawal, Srikumar Ramalingam
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal
Ruixuan Wang, Emanuele Trucco
Single-Pedestrian Detection Aided by Multi-pedestrian Detection
Wanli Ouyang, Xiaogang Wang
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Liansheng Zhuang, Allen Y. Yang, Zihan Zhou et al.
Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani, David Woodruff
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
Joseph J. Lim, C. L. Zitnick, Piotr Dollar
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects
Renato F. Salas-Moreno, Richard A. Newcombe, Hauke Strasdat et al.
Slice Sampling Particle Belief Propagation
Oliver Muller, Michael Ying Yang, Bodo Rosenhahn
Small-Variance Asymptotics for Hidden Markov Models
Anirban Roychowdhury, Ke Jiang, Brian Kulis
Smooth Operators
Steffen Grunewalder, Gretton Arthur, John Shawe-Taylor
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Social Role Discovery in Human Events
Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation
Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann
Solving inverse problem of Markov chain with partial observations
Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide
Solving the multi-way matching problem by permutation synchronization
Deepti Pachauri, Risi Kondor, Vikas Singh
Sorry Dave, I'm Afraid I Can't Do That: Explaining Unachievable Robot Tasks Using Natural Language
Vasumathi Raman, Constantine Lignos, Cameron Finucane et al.
Space-Time Robust Representation for Action Recognition
Nicolas Ballas, Yi Yang, Zhen-Zhong Lan et al.
Space-Time Tradeoffs in Photo Sequencing
Tali Dekel (Basha), Yael Moses, Shai Avidan
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom, Günther Palm
Sparse Adaptive Dirichlet-Multinomial-like Processes
Marcus Hutter
Sparse coding for multitask and transfer learning
Andreas Maurer, Massi Pontil, Bernardino Romera-Paredes
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
Matt Wytock, Zico Kolter
Sparse Inverse Covariance Estimation with Calibration
Tuo Zhao, Han Liu