Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
Vision-Based Gesture Recognition : A Review
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Hand gesture recognition using Bag-of-features and multi-class Support Vector Machine
3 D Model-Based Data Augmentation for Hand Gesture Recognition
Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations
Tiny hand gesture recognition without localization via a deep convolutional network
Predicting Co-verbal Gestures: A Deep and Temporal Modeling Approach
A Multichannel Convolutional Neural Network for Hand Posture Recognition
Learn to Combine Modalities in Multimodal Deep Learning
Survey on Hand Gesture Recognition Approaches
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
A REVIEW OF VISION BASED HAND GESTURES RECOGNITION
Integration of Speech and Gesture Inputs during Multimodal Interaction
3D Hand Gesture Recognition Based on Sensor Fusion of Commodity Hardware
multimodal emotion recognition from expressive faces , body gestures and speech .
Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames
Hand gesture recognition with depth images: A review
What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields
Multi-column Deep Neural Networks for Image Classification
GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis
Weakly Supervised Semantic Segmentation Based on Co-segmentation
Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the World Wide Web
Quality of Experience (QoE)-aware placement of applications in Fog computing environments