cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
arXiv:1707.06436
Abstract
The paper gives futuristic challenges disscussed in the cvpaper.challenge. In 2015 and 2016, we thoroughly study 1,600+ papers in several conferences/journals such as CVPR/ICCV/ECCV/NIPS/PAMI/IJCV.
References in corpus (25)
- Two-Stream Convolutional Networks for Action Recognition in Videos
- UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
- Generating Videos with Scene Dynamics
- SoundNet: Learning Sound Representations from Unlabeled Video
- A Compositional Object-Based Approach to Learning Physical Dynamics
- Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
- Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation
- Deep Learning the City : Quantifying Urban Perception At A Global Scale
- On learning optimized reaction diffusion processes for effective image restoration
- Deep Video Deblurring
- Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
- Understanding deep features with computer-generated imagery
- A Discriminative CNN Video Representation for Event Detection
- InstanceCut: from Edges to Instances with MultiCut
- Localizing and Orienting Street Views Using Overhead Imagery
- Background Subtraction via Generalized Fused Lasso Foreground Modeling
- Grid Loss: Detecting Occluded Faces
- Supervised mid-level features for word image representation
- Oriented Edge Forests for Boundary Detection
- Contextual Visual Similarity
- Learning Multiple Visual Tasks while Discovering their Structure
- Predicting the Future Behavior of a Time-Varying Probability Distribution
- Bilinear Random Projections for Locality-Sensitive Binary Codes
- Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
- A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle