Eldar Insafutdinov

According to our database1, Eldar Insafutdinov authored at least 14 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
Towards accurate multi-person pose estimation in the wild.
PhD thesis, 2020

2019
360-Degree Textures of People in Clothing from a Single Image.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PoseTrack: A Benchmark for Human Pose Estimation and Tracking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract).
CoRR, 2017

Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ArtTrack: Articulated Multi-Person Tracking in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
EgoCap: egocentric marker-less motion capture with two fisheye cameras.
ACM Trans. Graph., 2016

Joint Graph Decomposition and Node Labeling by Local Search.
CoRR, 2016

Articulated Multi-person Tracking in the Wild.
CoRR, 2016

DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model.
Proceedings of the Computer Vision - ECCV 2016, 2016

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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