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Beyond Short Snippets: Deep Networks for Video Classification
31 March 2015
Joe Yue-Hei Ng
Matthew J. Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
R. Monga
G. Toderici
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Papers citing
"Beyond Short Snippets: Deep Networks for Video Classification"
50 / 737 papers shown
Title
CNN Architectures for Large-Scale Audio Classification
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Deep Learning for Video Classification and Captioning
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GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
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Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
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Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
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A deep learning model for estimating story points
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Temporal Convolutional Networks: A Unified Approach to Action Segmentation
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Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
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Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
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Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM
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Discriminatively Trained Latent Ordinal Model for Video Classification
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OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
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Yu Qiao
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Chris McCool
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Connectionist Temporal Modeling for Weakly Supervised Action Labeling
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Li Fei-Fei
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Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
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Hierarchical Attention Network for Action Recognition in Videos
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Yi-Ju Chang
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Bag of Attributes for Video Event Retrieval
Leonardo A. Duarte
O. A. B. Penatti
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Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
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Serge J. Belongie
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Hierarchical Deep Temporal Models for Group Activity Recognition
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Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
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Jan van Gemert
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07 Jul 2016
VideoLSTM Convolves, Attends and Flows for Action Recognition
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Mihir Jain
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Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
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Anton Van Den Hengel
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Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
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cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
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Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
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55
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Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters
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Learning Deep Representations of Fine-grained Visual Descriptions
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Human Action Localization with Sparse Spatial Supervision
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Improved Dense Trajectory with Cross Streams
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Real-time Action Recognition with Enhanced Motion Vector CNNs
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Convolutional Two-Stream Network Fusion for Video Action Recognition
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226
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189
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Long-term Temporal Convolutions for Action Recognition
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Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search
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Privacy-Preserving Human Activity Recognition from Extreme Low Resolution
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70
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Recurrent Mixture Density Network for Spatiotemporal Visual Attention
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103
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Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
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181
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Recurrent Dropout without Memory Loss
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Large age-gap face verification by feature injection in deep networks
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Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
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A. Reiter
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Gregory Hager
179
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Learning Discriminative Features via Label Consistent Neural Network
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Order-aware Convolutional Pooling for Video Based Action Recognition
Peng Wang
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53
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Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
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Leonid Sigal
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