Video Classification
Delving Deeper into Convolutional Networks for Learning Video Representations
Deep Multi-Scale Video Prediction Beyond Mean Square Error
Object Dection
R-CNN Family
R-CNN
SPP-Net
Fast R-CNN
Faster R-CNN
YOLO
OverFeat
RNNs
Inside Outside Network
End-to-end people detection in crowded scenes
Object Tracking
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
Learning a Deep Compact Image Representation for Visual Tracking
Hierarchical Convolutional Features for Visual Tracking
Visual Tracking with fully Convolutional Networks
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Image Captioning
Explain Images with Multimodal Recurrent Neural Networks
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
A Neural Image Caption Generator
Deep Visual-Semantic Alignments for Generating Image Description
Semantic Segmentation
BoxSup
Conditional Random Fields as Recurrent Neural Networks
DeepLab
Fully Convolutional Networks for Semantic Segmentation
Edge Detection
DeepEdge
DeepContour
Holistically-Nested Edge Detection
Low-Level Vision
Super-Resolution
Optical Flow
Compression Artifacts Reduction
Blur Removal
Image Deconvolution
Deep Edge-Aware Filter
Computing the Stereo Matching Cost with a Convolutional Neural Network
Object Recognition
Weakly-supervised learning with convolutional neural networks
FV-CNN
