Papers
Fine-Grained Recognition as HSnet Search for Informative Image Parts
Michael Lam, Behrooz Mahasseni, Sinisa Todorovic
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training
Leonid Karlinsky, Joseph Shtok, Yochay Tzur et al.
Fine-To-Coarse Global Registration of RGB-D Scans
Maciej Halber, Thomas Funkhouser
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
Zongwei Zhou, Jae Shin, Lei Zhang et al.
Fixed-Point Factorized Networks
Peisong Wang, Jian Cheng
Flexible Spatio-Temporal Networks for Video Prediction
Chaochao Lu, Michael Hirsch, Bernhard Scholkopf
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras
Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey et al.
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia et al.
Forecasting Human Dynamics From Static Images
Yu-Wei Chao, Jimei Yang, Brian Price et al.
Forecasting Interactive Dynamics of Pedestrians With Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee et al.
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation
Hongteng Xu, Junchi Yan, Nils Persson et al.
Fried Binary Embedding for High-Dimensional Visual Features
Weixiang Hong, Junsong Yuan, Sreyasee Das Bhattacharjee
From Local to Global: Edge Profiles to Camera Motion in Blurred Images
Subeesh Vasu, A. N. Rajagopalan
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong, Jie Yang, Lingqiao Liu et al.
From Red Wine to Red Tomato: Composition With Context
Ishan Misra, Abhinav Gupta, Martial Hebert
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Yang Long, Li Liu, Ling Shao et al.
Full Resolution Image Compression With Recurrent Neural Networks
George Toderici, Damien Vincent, Nick Johnston et al.
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen, Alexander Hermans, Markus Mathias et al.
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai et al.
Fully Convolutional Instance-Aware Semantic Segmentation
Yi Li, Haozhi Qi, Jifeng Dai et al.
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
Suyog Dutt Jain, Bo Xiong, Kristen Grauman
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
Qilong Wang, Peihua Li, Lei Zhang
Gated Feedback Refinement Network for Dense Image Labeling
Md Amirul Islam, Mrigank Rochan, Neil D. B. Bruce et al.
Gaze Embeddings for Zero-Shot Image Classification
Nour Karessli, Zeynep Akata, Bernt Schiele et al.
Generalized Deep Image to Image Regression
Venkataraman Santhanam, Vlad I. Morariu, Larry S. Davis