Mykhaylo Andriluka | DeepAI

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∙ 12/02/2022

Transformer-Based Learned Optimization

In this paper, we propose a new approach to learned optimization. As com...

0 Erik Gärtner, et al. ∙

∙ 05/24/2022

Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video

We focus on the task of estimating a physically plausible articulated hu...

0 Erik Gärtner, et al. ∙

∙ 05/24/2022

Differentiable Dynamics for Articulated 3d Human Motion Reconstruction

We introduce DiffPhy, a differentiable physics-based model for articulat...

0 Erik Gärtner, et al. ∙

∙ 07/16/2020

Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity

We propose a new approach to interactive full-image semantic segmentatio...

0 Mykhaylo Andriluka, et al. ∙

∙ 06/17/2019

Panoptic Image Annotation with a Collaborative Assistant

This paper aims to reduce the time to annotate images for the panoptic s...

1 Jasper R. R. Uijlings, et al. ∙

∙ 06/20/2018

Fluid Annotation: a human-machine collaboration interface for full image annotation

We introduce Fluid Annotation, an intuitive human-machine collaboration ...

2 Mykhaylo Andriluka, et al. ∙

∙ 10/27/2017

PoseTrack: A Benchmark for Human Pose Estimation and Tracking

Human poses and motions are important cues for analysis of videos with p...

0 Mykhaylo Andriluka, et al. ∙

∙ 12/05/2016

ArtTrack: Articulated Multi-person Tracking in the Wild

In this paper we propose an approach for articulated tracking of multipl...

0 Eldar Insafutdinov, et al. ∙

∙ 08/17/2016

Multi-Person Tracking by Multicut and Deep Matching

In [1], we proposed a graph-based formulation that links and clusters pe...

0 Siyu Tang, et al. ∙

∙ 07/21/2015

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Every moment counts in action recognition. A comprehensive understanding...

0 Serena Yeung, et al. ∙

∙ 06/16/2015

End-to-end people detection in crowded scenes

Current people detectors operate either by scanning an image in a slidin...

0 Russell Stewart, et al. ∙

∙ 04/07/2015

An Empirical Evaluation of Deep Learning on Highway Driving

Numerous groups have applied a variety of deep learning techniques to co...

0 Brody Huval, et al. ∙

∙ 02/23/2015

Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data

Activity recognition has shown impressive progress in recent years. Howe...

0 Marcus Rohrbach, et al. ∙

∙ 06/07/2014

Fine-grained Activity Recognition with Holistic and Pose based Features

Holistic methods based on dense trajectories are currently the de facto ...

0 Leonid Pishchulin, et al. ∙

∙ 12/27/2013

Learning Human Pose Estimation Features with Convolutional Networks

This paper introduces a new architecture for human pose estimation using...

0 Arjun Jain, et al. ∙

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