Papers
176,624 papers found
Finite-Time Analysis of Projected Langevin Monte Carlo
Sebastien Bubeck, Ronen Eldan, Joseph Lehec
First-Person Pose Recognition Using Egocentric Workspaces
Gregory Rogez, James S. Supancic III, Deva Ramanan
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture
Florent Perronnin, Diane Larlus
Fixation Bank: Learning to Reweight Fixation Candidates
Jiaping Zhao, Christian Siagian, Laurent Itti
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon
Fixed-point algorithms for learning determinantal point processes
Zelda Mariet, Suvrit Sra
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties
Xingye Qiao, Lingsong Zhang
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes et al.
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
Christian Bailer, Bertram Taetz, Didier Stricker
Flowing ConvNets for Human Pose Estimation in Videos
Tomas Pfister, James Charles, Andrew Zisserman
FlowNet: Learning Optical Flow With Convolutional Networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg et al.
FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences
Tinghui Zhou, Yong Jae Lee, Stella X. Yu et al.
Flying Objects Detection From a Single Moving Camera
Artem Rozantsev, Vincent Lepetit, Pascal Fua
Following the Perturbed Leader for Online Structured Learning
Alon Cohen, Tamir Hazan
FollowMe: Efficient Online Min-Cost Flow Tracking With Bounded Memory and Computation
Philip Lenz, Andreas Geiger, Raquel Urtasun
FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared
Huaijin Chen, M. Salman Asif, Aswin C. Sankaranarayanan et al.
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol, Chris Oates, Mark Girolami et al.
Frequency-Based Environment Matting by Compressive Sensing
Yiming Qian, Minglun Gong, Yee-Hong Yang
From Averaging to Acceleration, There is Only a Step-size
Nicolas Flammarion, Francis Bach
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola et al.
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
Marko Ristin, Juergen Gall, Matthieu Guillaumin et al.
From Dependency to Causality: A Machine Learning Approach
Gianluca Bontempi, Maxime Flauder
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding
Peihua Li, Xiaoxiao Lu, Qilong Wang
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning
Adria Ruiz, Joost Van de Weijer, Xavier Binefa