Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Discriminative Mixture-of-Templates for Viewpoint Classification
Towards Multi-View Object Class Detection
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
Multi-View Clustering
Complete solution classification for the perspective-three-point problem
Learning to Recognize Activities from the Wrong View Point
Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
Active + Semi-supervised Learning = Robust Multi-View Learning
Local feature view clustering for 3D object recognition
A comparative analysis and study of multiview CNN models for joint object categorization and pose estimation
The pyramid match kernel: Discriminative classification with sets of image features
Towards Perspective-Free Object Counting with Deep Learning
discriminative vision - based recovery and recognition of human motion .
Fast rotation invariant multi-view face detection based on real Adaboost
Enriching object detection with 2D-3D registration and continuous viewpoint estimation
Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Learning Discriminative and Shareable Features for Scene Classification
Dense matching of multiple wide-baseline views
A new point matching algorithm for non-rigid registration
Square-Root Lasso With Nonconvex Regularization: An ADMM Approach
An energy-aware service composition algorithm for multiple cloud-based IoT applications
Interpreting the Total Isotropic Sensitivity and Diversity Gain of LTE-Enabled Wireless Devices From Over-the-Air Throughput Measurements in Reverberation Chambers
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks