Search Results for author:
Found 9 papers, 5 papers with code
Learning to Discriminate Information for Online Action Detection
For online action detection, in this paper, we propose a novel recurrent unit to explicitly discriminate the information relevant to an ongoing action from others.
Ranked #13 on
Online Action Detection
on TVSeries
SRG: Snippet Relatedness-based Temporal Action Proposal Generator
Recent temporal action proposal generation approaches have suggested integrating segment- and snippet score-based methodologies to produce proposals with high recall and accurate boundaries.
CenterMask : Real-Time Anchor-Free Instance Segmentation
We hope that CenterMask and VoVNetV2 can serve as a solid baseline of real-time instance segmentation and backbone network for various vision tasks, respectively.
Ranked #1 on
Object Detection
on COCO test-dev
(Hardware Burden metric)
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task.
Ranked #64 on
Instance Segmentation
on COCO test-dev
Visual Relationship Detection with Language prior and Softmax
Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image.
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
We present a novel image editing system that generates images as the user provides free-form mask, sketch and color as an input.
Skeleton-based Action Recognition of People Handling Objects
In this paper, to address this problem, we propose a new framework for recognizing object-related human actions by graph convolutional networks using human and object poses.
Ranked #1 on
Action Recognition
on IRD
Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding
In addition, most studies have not considered extensibility for a newly added action that has been previously trained.
Ranked #1 on
Action Recognition
on ActionNet-VE
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0
This paper introduces a dataset for recognizing and describing interactive events between objects of interest including persons, cars, bikes, and carried objects.
