Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Object detection using strongly-supervised deformable part models
Object Detection with Discriminatively Trained Part-Based Models
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
A Dual-Network Progressive Approach to Weakly Supervised Object Detection
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion
A Joint Discriminative Generative Model for Deformable Model Construction and Classification
Self Paced Deep Learning for Weakly Supervised Object Detection
Combining contour and shape primitives for object detection and pose estimation of prefabricated parts
Weakly Supervised Object Detection with Posterior Regularization
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
Deep Learning Strong Parts for Pedestrian Detection
A Study of Parts-Based Object Class Detection Using Complete Graphs
Weakly supervised object detection using pseudo-strong labels
Deformable Models
Interactive Object Detection
Learning Deep Object Detectors from 3D Models
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
Segmentation of Human Body Parts Using Deformable Triangulation
Viewpoint-aware object detection and pose estimation
Bandit-Based Model Selection for Deformable Object Manipulation
Measurement and fabrication uncertainties in high-directivity microstrip couplers
SourceSight: Enabling Effective Source Selection
Control of dynamic gaits for a quadrupedal robot
The Visual Analysis of Human Movement: A Survey
The use of skeletal anchorage in open bite treatment: a cephalometric evaluation.