Convolutional feature masking for joint object and stuff segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
GENERATIVE MODELING OF CONVOLUTIONAL NEURAL NETWORKS
Fully Convolutional Instance-aware Semantic Segmentation
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
Deformable Convolutional Networks
Deep Feature Flow for Video Recognition
Flow-Guided Feature Aggregation for Video Object Detection
Mining sub-categories for object detection
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Multifeature-Based High-Resolution Palmprint Recognition
Robust and Efficient Ridge-Based Palmprint Matching
Cosegmentation and Cosketch by Unsupervised Learning
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Deep Residual Learning for Image Recognition
Single Image Haze Removal Using Dark Channel Prior
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Delving Deep into Rectifiers:Surpassing Human-Level Performance on ImageNet Classification
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Learning a Deep Convolutional Network for Image Super-Resolution
Identity Mappings in Deep Residual Networks
K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes
Optimized Product Quantization for Approximate Nearest Neighbor Search
A Global Sampling Method for Alpha Matting
Constant Time Weighted Median Filtering for Stereo Matching and Beyond
Fast Matting Using Large Kernel Matting Laplacian Matrices
Statistics of Patch Offsets for Image Completion
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Convolutional Neural Networks at Constrained Time Cost
Computing Nearest-Neighbor Fields via Propagation-Assisted KD-Trees
Is Faster R-CNN Doing Well for Pedestrian Detection?
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Accelerating Very Deep Convolutional Networks for Classification and Detection
Object Detection Networks on Convolutional Feature Maps
Instance-sensitive Fully Convolutional Networks
Sparse Projections for High-Dimensional Binary Codes
Image Completion Approaches Using the Statistics of Similar Patches
Graph Cuts for Supervised Binary Coding
Feature Pyramid Networks for Object Detection
Rectangling Panoramic Images via Warping
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
A Geodesic-Preserving Method for Image Warping
Detecting and Recognizing Human-Object Interaction
Object Detection with Discriminatively Trained Part Based Model
Caffe: Convolutional Architecture for Fast Feature Embedding
Rich feature hierarchies for accurate object detection and semantic segmentation
Microsoft COCO: Common Objects in Context
Cascade Object Detection with Deformable Part Models
You Only Look Once:Unified, Real-Time Object Detection
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Hypercolumns for Object Segmentation and Fine-grained Localization
Simultaneous Detection and Segmentation
Efficient Regression of General-Activity Human Poses from Depth Images
Efficient Human Pose Estimation from Single Depth Images
Part-based R-CNNs for Fine-grained Category Detection
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
Object Detection with Grammar Models
Deformable Part Models are Convolutional Neural Networks
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
LSDA: Large Scale Detection through Adaptation
Unsupervised Deep Embedding for Clustering Analysis
REDUCING OVERFITTING IN DEEP NETWORKS BY DECORRELATING REPRESENTATIONS
Aggregated Residual Transformations for Deep Neural Networks
Actions and Attributes from Wholes and Parts
R-CNNs for Pose Estimation and Action Detection
Understanding Objects in Detail with Fine-grained Attributes
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids Technical Report
Using k-poselets for detecting people and localizing their keypoints
Exploring Nearest Neighbor Approaches for Image Captioning
Aligning 3D Models to RGB-D Images of Cluttered Scenes
Training Region-based Object Detectors with Online Hard Example Mining
Contextual Action Recognition with R*CNN
Sparselet Models for Efficient Multiclass Object Detection
On learning to localize objects with minimal supervision
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Discriminatively Trained Mixtures of Deformable Part Models
Discriminative Latent Variable Models for Object Detection
The three R’s of computer vision: Recognition, reconstruction and reorganization
Visibility Constraints on Features of 3D Objects
Inferring and Executing Programs for Visual Reasoning
Accurate, Large Minibatch SGD:Training ImageNet in 1 Hour
Simulating Chinese Brush Painting:The Parametric Hairy Brush
Generalized Sparselet Models for Real-Time Multiclass Object Recognition
Inferring 3D Object Pose in RGB-D Images
Learning Features by Watching Objects Move
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
Low-shot Visual Recognition by Shrinking and Hallucinating Features
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Training deformable part models with decorrelated features
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns
Object Detection with Heuristic Coarse-to-Fine Search
LSVM - Mixtures of Deformable Part Models
YOLO9000: Better, Faster, Stronger
Real-Time Grasp Detection Using Convolutional Neural Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks