Papers Spatio-Temporal Action Localization
“Spatio-Temporal Action Localization” 태그가 달린 논문 39편 · 필터 해제
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly based on Actor-Context-Actor Relation Net…
Action LocalizationRelation NetworkSpatio-Temporal Action LocalizationTemporal Action LocalizationActor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Localizing persons and recognizing their actions from videos is a challenging task towards high-level video understanding. Recent advances have been achieved by modeling direct pairwise relations between entities. In thi…
Action DetectionAction LocalizationAction RecognitionRelation+4Video action detection by learning graph-based spatio-temporal interactions
Action Detection is a complex task that aims to detect and classify human actions in video clips. Typically, it has been addressed by processing fine-grained features extracted from a video classification backbone. Recen…
Action DetectionAction LocalizationGraph LearningSpatio-Temporal Action Localization+4Three Branches: Detecting Actions With Richer Features
We present our three branch solutions for International Challenge on Activity Recognition at CVPR2019. This model seeks to fuse richer information of global video clip, short human attention and long-term human activity …
Action LocalizationActivity RecognitionSpatio-Temporal Action LocalizationTemporal Action LocalizationSubmission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization
This technical report present an overview of our system proposed for the spatio-temporal action localization(SAL) task in ActivityNet Challenge 2019. Unlike previous two-streams-based works, we focus on exploring the end…
Action LocalizationData AugmentationSpatio-Temporal Action LocalizationTemporal Action LocalizationTrimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, dense-captioning events in videos, and sp…
Action LocalizationAction RecognitionDense CaptioningSpatio-Temporal Action Localization+1Improving Action Localization by Progressive Cross-stream Cooperation
Spatio-temporal action localization consists of three levels of tasks: spatial localization, action classification, and temporal segmentation. In this work, we propose a new Progressive Cross-stream Cooperation (PCSC) fr…
Action ClassificationAction DetectionAction LocalizationSpatio-Temporal Action Localization+1Spatio-Temporal Action Localization in a Weakly Supervised Setting
Enabling computational systems with the ability to localize actions in video-based content has manifold applications. Traditionally, such a problem is approached in a fully-supervised setting where video-clips with compl…
Action DetectionAction LocalizationMultiple Instance LearningSpatio-Temporal Action Localization+1Actor-Centric Relation Network
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level and model temporal context with 3D ConvNets. Here, we go one step further and model spatio-temporal relati…
Action ClassificationAction DetectionAction LocalizationAction Recognition+4Spatio-Temporal Instance Learning: Action Tubes from Class Supervision
The goal of this work is spatio-temporal action localization in videos, using only the supervision from video-level class labels. The state-of-the-art casts this weakly-supervised action localization regime as a Multiple…
Action LocalizationMultiple Instance LearningRerankingSpatio-Temporal Action Localization+2YH Technologies at ActivityNet Challenge 2018
This notebook paper presents an overview and comparative analysis of our systems designed for the following five tasks in ActivityNet Challenge 2018: temporal action proposals, temporal action localization, dense-caption…
Action LocalizationAction RecognitionDense CaptioningSpatio-Temporal Action Localization+1Modeling Spatio-Temporal Human Track Structure for Action Localization
This paper addresses spatio-temporal localization of human actions in video. In order to localize actions in time, we propose a recurrent localization network (RecLNet) designed to model the temporal structure of actions…
Action LocalizationHuman DetectionOptical Flow EstimationSpatio-Temporal Action Localization+2Action Tubelet Detector for Spatio-Temporal Action Localization
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level that are then linked or tracked across time. In this paper, we leverage the temporal continuity of videos …
Action LocalizationSpatio-Temporal Action LocalizationTemporal Action LocalizationChained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
General human action recognition requires understanding of various visual cues. In this paper, we propose a network architecture that computes and integrates the most important visual cues for action recognition: pose, m…
Action ClassificationAction LocalizationAction RecognitionGeneral Classification+3Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection
A human action can be seen as transitions between one's body poses over time, where the transition depicts a temporal relation between two poses. Recognizing actions thus involves learning a classifier sensitive to these…
Action DetectionAction RecognitionSpatio-Temporal Action LocalizationTemporal Action LocalizationWhat If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images
This paper tackles the problem of spatio-temporal action localization in a video without assuming the availability of multiple videos or any prior annotations. Action is localized by employing images downloaded from int…
Action LocalizationOptical Flow EstimationSpatio-Temporal Action LocalizationTemporal Action LocalizationLearning to track for spatio-temporal action localization
We propose an effective approach for spatio-temporal action localization in realistic videos. The approach first detects proposals at the frame-level and scores them with a combination of static and motion CNN features. …
Action LocalizationSpatio-Temporal Action LocalizationTemporal Action LocalizationTemporal LocalizationAction is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
We propose a new weakly-supervised structured learning approach for recognition and spatio-temporal localization of actions in video. As part of the proposed approach we develop a generalization of the Max-Path search al…
Action LocalizationClassificationGeneral ClassificationSpatio-Temporal Action Localization+2Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Structured output learning has been successfully applied to object localization, where the mapping between an image and an object bounding box can be well captured. Its extension to action localization in videos, however…
Action LocalizationObject LocalizationregressionSpatio-Temporal Action Localization+1