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Recurrent Neural Networks
592 directly classified papers
Papers per year
2006: 1
2007: 1
2008: 2
2010: 1
2011: 1
2012: 1
2013: 1
2014: 5
2015: 18
2016: 27
2017: 74
2018: 125
2019: 131
2020: 78
2021: 50
2022: 37
2023: 19
2024: 13
2025: 7
Papers
De-Mixing Sentiment from Code-Mixed Text
ACL 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
CVPR 2019
Spatio-Temporal Video Re-Localization by Warp LSTM
CVPR 2019
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
CVPR 2019
Events-To-Video: Bringing Modern Computer Vision to Event Cameras
CVPR 2019
Feedback Network for Image Super-Resolution
CVPR 2019
Recurrent Back-Projection Network for Video Super-Resolution
CVPR 2019
Learning to Film From Professional Human Motion Videos
CVPR 2019
RVOS: End-To-End Recurrent Network for Video Object Segmentation
CVPR 2019
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
CVPR 2019
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
CVPR 2019
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
CVPR 2019
Memory-Attended Recurrent Network for Video Captioning
CVPR 2019
Look Back and Predict Forward in Image Captioning
CVPR 2019
Intention Oriented Image Captions With Guiding Objects
CVPR 2019
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
CVPR 2019
Shifting More Attention to Video Salient Object Detection
CVPR 2019
Object Discovery in Videos as Foreground Motion Clustering
CVPR 2019
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
CVPR 2019
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks
CVPR 2019
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction
CVPR 2019
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
CVPR 2019
Dynamics Are Important for the Recognition of Equine Pain in Video
CVPR 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
AAAI 2019
Learning to Embed Sentences Using Attentive Recursive Trees
AAAI 2019
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