Papers
From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes
Vijay Rengarajan, Ambasamudram N. Rajagopalan, Rangarajan Aravind
From Dusk Till Dawn: Modeling in the Dark
Filip Radenovic, Johannes L. Schonberger, Dinghuang Ji et al.
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
Jingjing Meng, Hongxing Wang, Junsong Yuan et al.
From Noise Modeling to Blind Image Denoising
Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng
From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation
Maximilian Schwenger, Álvaro Torralba, Joerg Hoffmann et al.
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos, Grzegorz Chrupała
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
Andre Martins, Ramon Astudillo
Frustratingly Easy Neural Domain Adaptation
Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John Hershey et al.
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids
Qifeng Chen, Vladlen Koltun
Functional Faces: Groupwise Dense Correspondence Using Functional Maps
Chao Zhang, William A. P. Smith, Arnaud Dessein et al.
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
Zita Marinho, Byron Boots, Anca Dragan et al.
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing
Farshad Lahouti, Babak Hassibi
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
Heysem Kaya, Alexey A. Karpov
Fusion Strategies for Robust Speech Recognition and Keyword Spotting for Channel- and Noise-Degraded Speech
Vikramjit Mitra, Julien VanHout, Wen Wang et al.
Future Context Attention for Unidirectional LSTM Based Acoustic Model
Jian Tang, Shiliang Zhang, Si Wei et al.
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case
Joon Kwon, Vianney Perchet
GAKE: Graph Aware Knowledge Embedding
Jun Feng, Minlie Huang, Yang Yang et al.
GAP Safe Screening Rules for Sparse-Group Lasso
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.
Gating Recurrent Enhanced Memory Neural Networks on Language Identification
Wang Geng, Yuanyuan Zhao, Wenfu Wang et al.
Gaussian Conditional Random Field Network for Semantic Segmentation
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu et al.
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B Oliva et al.
Gaussian Processes for Survival Analysis
Tamara Fernandez, Nicolas Rivera, Yee Whye Teh
Gaussian process nonparametric tensor estimator and its minimax optimality
Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi et al.