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Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
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2016
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Gurkirt Singh
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Fabio Cuzzolin
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UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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Jeff Donahue
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Deep Residual Learning for Image Recognition
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Xiangyu Zhang
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SSD: Single Shot MultiBox Detector
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Learning to Track for Spatio-Temporal Action Localization
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Action Tubelet Detector for Spatio-Temporal Action Localization
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2017
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Vicky Kalogeiton
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Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
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2017
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Gurkirt Singh
Suman Saha
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Philip H. S. Torr
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AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture
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2017
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Suman Saha
Gurkirt Singh
Fabio Cuzzolin
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Learning to track for spatio-temporal action localization
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2015
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Zaïd Harchaoui
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Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
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Olga Russakovsky
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Greg Mori
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End-to-End Learning of Action Detection from Frame Glimpses in Videos
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2016
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Serena Yeung
Olga Russakovsky
Greg Mori
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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2017
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João Carreira
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Actionness Estimation Using Hybrid Fully Convolutional Networks
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Limin Wang
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Action Temporal Localization in Untrimmed Videos via Multi-stage CNNs.
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Two-Stream Convolutional Networks for Action Recognition in Videos
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Finding Action Tubes
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Domain-Adversarial Training of Neural Networks
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Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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Liang-Chieh Chen
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George Papandreou
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Two-Stream Convolutional Networks for Action Recognition in Videos
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Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Kaiming He
Ross Girshick
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Human Action Localization with Sparse Spatial Supervision
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Fully convolutional networks for semantic segmentation
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Deeper, Broader and Artier Domain Generalization
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Adam: A Method for Stochastic Optimization
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Domain Adaptive Faster R-CNN for Object Detection in the Wild
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2018
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Li Wen
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Learning Spatiotemporal Features with 3D Convolutional Networks
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PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
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Continuous Action Recognition Based on Sequence Alignment
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FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
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ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
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Learning to Adapt Structured Output Space for Semantic Segmentation
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Jeff Donahue
Trevor Darrell
Jitendra Malik
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A Discriminative CNN Video Representation for Event Detection
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Yi Yang
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Unified Deep Supervised Domain Adaptation and Generalization
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Pyramid Scene Parsing Network
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Jianping Shi
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Incremental Tube Construction for Human Action Detection
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2017
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Harkirat Singh Behl
Michael Sapienza
Gurkirt Singh
Suman Saha
Fabio Cuzzolin
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Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
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Mohammadreza Zolfaghari
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Finding communities in linear time: a physics approach
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Face De-spoofing: Anti-spoofing via Noise Modeling
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Defining and evaluating network communities based on ground-truth
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TraMNet - Transition Matrix Network for Efficient Action Tube Proposals
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2019
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Gurkirt Singh
Suman Saha
Fabio Cuzzolin
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