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Actor-Action Semantic Segmentation with Grouping Process Models

https://doi.org/10.1109/cvpr.2016.336

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11744023_1openalex-snapshot

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

inferredcites →https://doi.org/10.1007/978-1-4471-6741-9openalex-snapshot

Integrated Imaging and Vision Techniques for Industrial Inspection

inferredcites →https://doi.org/10.1007/978-3-319-10578-9_48openalex-snapshot

Spatio-temporal Object Detection Proposals

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_36openalex-snapshot

Video Object Co-segmentation by Regulated Maximum Weight Cliques

inferredcites →https://doi.org/10.1007/978-3-319-10593-2_43openalex-snapshot

Supervoxel-Consistent Foreground Propagation in Video

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_38openalex-snapshot

Action Recognition with Stacked Fisher Vectors

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_31openalex-snapshot

What, Where and How Many? Combining Object Detectors and CRFs

inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot

On Space-Time Interest Points

inferredcites →https://doi.org/10.1007/s11263-007-0109-1openalex-snapshot

TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

inferredcites →https://doi.org/10.1007/s11263-011-0437-zopenalex-snapshot

Fast Approximate Energy Minimization with Label Costs

inferredcites →https://doi.org/10.1007/s11263-012-0574-zopenalex-snapshot

Superparsing

inferredcites →https://doi.org/10.1007/s11263-012-0594-8openalex-snapshot

Dense Trajectories and Motion Boundary Descriptors for Action Recognition

inferredcites →https://doi.org/10.1109/34.969114openalex-snapshot

Fast approximate energy minimization via graph cuts

inferredcites →https://doi.org/10.1109/cvpr.2009.5206671openalex-snapshot

Discriminative subvolume search for efficient action detection

inferredcites →https://doi.org/10.1109/cvpr.2010.5539893openalex-snapshot

Efficient hierarchical graph-based video segmentation

inferredcites →https://doi.org/10.1109/cvpr.2010.5539897openalex-snapshot

Fast approximate energy minimization with label costs

inferredcites →https://doi.org/10.1109/cvpr.2012.6247739openalex-snapshot

Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2012.6247802openalex-snapshot

Evaluation of super-voxel methods for early video processing

inferredcites →https://doi.org/10.1109/cvpr.2013.267openalex-snapshot

A Video Representation Using Temporal Superpixels

inferredcites →https://doi.org/10.1109/cvpr.2013.341openalex-snapshot

Spatiotemporal Deformable Part Models for Action Detection

inferredcites →https://doi.org/10.1109/cvpr.2014.100openalex-snapshot

Action Localization with Tubelets from Motion

inferredcites →https://doi.org/10.1109/cvpr.2014.119openalex-snapshot

The Role of Context for Object Detection and Semantic Segmentation in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2015.7298735openalex-snapshot

Fast action proposals for human action detection and search

inferredcites →https://doi.org/10.1109/cvpr.2015.7298839openalex-snapshot

Can humans fly? Action understanding with multiple classes of actors

inferredcites →https://doi.org/10.1109/cvpr.2015.7298987openalex-snapshot

Semantic object segmentation via detection in weakly labeled video

inferredcites →https://doi.org/10.1109/cvpr.2015.7299000openalex-snapshot

Human action segmentation with hierarchical supervoxel consistency

inferredcites →https://doi.org/10.1109/cvpr.2015.7299114openalex-snapshot

Superpixel-based video object segmentation using perceptual organization and location prior

inferredcites →https://doi.org/10.1109/cvpr.2015.7299137openalex-snapshot

Space-time tree ensemble for action recognition

inferredcites →https://doi.org/10.1109/iccv.2001.937505openalex-snapshot

Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images

inferredcites →https://doi.org/10.1109/iccv.2011.6126386openalex-snapshot

Human action recognition by learning bases of action attributes and parts

inferredcites →https://doi.org/10.1109/iccv.2011.6126471openalex-snapshot

Key-segments for video object segmentation

inferredcites →https://doi.org/10.1109/iccv.2011.6126472openalex-snapshot

Discriminative figure-centric models for joint action localization and recognition

inferredcites →https://doi.org/10.1109/iccv.2011.6126543openalex-snapshot

HMDB: A large video database for human motion recognition

inferredcites →https://doi.org/10.1109/iccv.2013.223openalex-snapshot

Fast Object Segmentation in Unconstrained Video

inferredcites →https://doi.org/10.1109/iccv.2013.273openalex-snapshot

Video Segmentation by Tracking Many Figure-Ground Segments

inferredcites →https://doi.org/10.1109/iccv.2013.279openalex-snapshot

Flattening Supervoxel Hierarchies by the Uniform Entropy Slice

inferredcites →https://doi.org/10.1109/iccv.2013.341openalex-snapshot

Action Recognition and Localization by Hierarchical Space-Time Segments

inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot

Action Recognition with Improved Trajectories

inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-snapshot

Recognizing human actions: a local SVM approach

inferredcites →https://doi.org/10.1109/tmi.2007.912817openalex-snapshot

Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification

inferredcites →https://doi.org/10.1109/tpami.2004.1262177openalex-snapshot

What energy functions can be minimized via graph cuts?

inferredcites →https://doi.org/10.1109/tpami.2004.60openalex-snapshot

An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

inferredcites →https://doi.org/10.1109/tpami.2007.70711openalex-snapshot

Actions as Space-Time Shapes

inferredcites →https://doi.org/10.1109/tpami.2009.83openalex-snapshot

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition

inferredcites →https://doi.org/10.1109/tpami.2013.165openalex-snapshot

Associative Hierarchical Random Fields

inferredcites →https://doi.org/10.1109/tpami.2013.242openalex-snapshot

Segmentation of Moving Objects by Long Term Video Analysis

inferredcites →https://doi.org/10.17615/q738-fd19openalex-snapshot

Superparsing: Scalable Nonparametric Image Parsing with Superpixels

inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot

UCF-101: A dataset of 101 human actions classes from videos in the wild

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_43openalex-snapshot

End-to-End Joint Semantic Segmentation of Actors and Actions in Video

inferred← citeshttps://doi.org/10.1007/978-3-030-66840-2_65openalex-snapshot

Video Activity Recognition Based on Objects Detection Using Recurrent Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-95-7130-7_5openalex-snapshot

Activity Modeling and Recognition

inferred← citeshttps://doi.org/10.1007/s11263-019-01244-7openalex-snapshot

A Weakly Supervised Multi-task Ranking Framework for Actor–Action Semantic Segmentation

inferred← citeshttps://doi.org/10.1007/s44267-023-00010-1openalex-snapshot

Reverse-engineering information presentations: recovering hierarchical grouping from layouts of visual elements

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.112922openalex-snapshot

OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations

inferred← citeshttps://doi.org/10.1109/cvpr.2017.115openalex-snapshot

Weakly Supervised Actor-Action Segmentation via Robust Multi-task Ranking

inferred← citeshttps://doi.org/10.1109/cvpr.2017.155openalex-snapshot

CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00624openalex-snapshot

Actor and Action Video Segmentation from a Sentence

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00411openalex-snapshot

Deep Grouping Model for Unified Perceptual Parsing

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00992openalex-snapshot

Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00417openalex-snapshot

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

inferred← citeshttps://doi.org/10.1109/iccv.2017.219openalex-snapshot

Joint Learning of Object and Action Detectors

inferred← citeshttps://doi.org/10.1109/iccv.2019.00135openalex-snapshot

Layout-Induced Video Representation for Recognizing Agent-in-Place Actions

inferred← citeshttps://doi.org/10.1109/iccv.2019.00404openalex-snapshot

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query

inferred← citeshttps://doi.org/10.1109/iscas.2019.8702243openalex-snapshot

DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices

inferred← citeshttps://doi.org/10.1109/tcsi.2020.2991189openalex-snapshot

DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation

inferred← citeshttps://doi.org/10.1109/tip.2020.3023591openalex-snapshot

Learning Long-Term Structural Dependencies for Video Salient Object Detection

inferred← citeshttps://doi.org/10.1109/tip.2020.3030502openalex-snapshot

Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree

inferred← citeshttps://doi.org/10.1109/tip.2022.3161832openalex-snapshot

Object-Agnostic Transformers for Video Referring Segmentation

inferred← citeshttps://doi.org/10.1109/tip.2022.3185487openalex-snapshot

Actor and Action Modular Network for Text-Based Video Segmentation

inferred← citeshttps://doi.org/10.1109/tmm.2017.2759504openalex-snapshot

Learning Deep Spatio-Temporal Dependence for Semantic Video Segmentation

inferred← citeshttps://doi.org/10.1109/tpami.2018.2881114openalex-snapshot

SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00300openalex-snapshot

We don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00055openalex-snapshot

Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation

inferred← citeshttps://doi.org/10.1145/3474085.3475534openalex-snapshot

Cascade Cross-modal Attention Network for Video Actor and Action Segmentation from a Sentence

inferred← citeshttps://doi.org/10.1145/3503161.3547761openalex-snapshot

Multi-Attention Network for Compressed Video Referring Object Segmentation

inferred← citeshttps://doi.org/10.1609/aaai.v32i1.12234openalex-snapshot

Exploring Temporal Preservation Networks for Precise Temporal Action Localization

inferred← citeshttps://doi.org/10.1609/aaai.v34i07.6895openalex-snapshot

Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries

inferred← citeshttps://doi.org/10.1609/aaai.v34i07.6983openalex-snapshot

Knowledge Integration Networks for Action Recognition

inferred← citeshttps://doi.org/10.32657/10220/46581openalex-snapshot

Exploiting visual context and consistency for semantic segmentation

inferred← citeshttps://doi.org/10.3390/signals2030037openalex-snapshot

HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN

inferred← citeshttps://doi.org/10.48550/arxiv.1704.08723openalex-snapshot

Action Understanding with Multiple Classes of Actors

inferred← citeshttps://doi.org/10.48550/arxiv.1807.08430openalex-snapshot

Actor-Action Semantic Segmentation with Region Masks

inferred← citeshttps://doi.org/10.48550/arxiv.2011.10927openalex-snapshot

We don't Need Thousand Proposals$\colon$ Single Shot Actor-Action Detection in Videos

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