Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: End-to-End Joint Semantic Segmentation of Actors and Actions in Video
Actor-Action Semantic Segmentation with Grouping Process Models
Semi-Supervised Image-to-Video Adaptation for Video Action Recognition
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
End-to-End Learning of Action Detection from Frame Glimpses in Videos
End-to-end Video-level Representation Learning for Action Recognition
A joint model for action localization and classification in untrimmed video with visual attention
Cascaded temporal spatial features for video action recognition
Natural Language Description of Human Activities from Video Images Based on Concept Hierarchy of Actions
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
MoNet: Deep Motion Exploitation for Video Object Segmentation
Temporal Segment Networks for Action Recognition in Videos
Learning Deep Spatio-Temporal Dependence for Semantic Video Segmentation
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks
Harnessing Object and Scene Semantics for Large-Scale Video Understanding
Pipelining Localized Semantic Features for Fine-Grained Action Recognition
Learning realistic human actions from movies
Spatiotemporal Residual Networks for Video Action Recognition
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
Semantic object segmentation via detection in weakly labeled video
Fast Bilateral Solver for Semantic Video Segmentation
Power-Delay Tradeoff in Multi-User Mobile-Edge Computing Systems
Semi-Amortized Variational Autoencoders
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Multiscale Combinatorial Grouping
TGF-β: the master regulator of fibrosis