activity
20152026
most citedDeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

113 citations · 202 across the 13 of their papers we have counts for

collaborators

16 papers

cs.CV2026

CoWTracker: Tracking by Warping instead of Correlation

Zihang Lai, Eldar Insafutdinov, Edgar Sucar +1

Dense point tracking is a fundamental problem in computer vision, with applications ranging from video analysis to robotic manipulation. State-of-the-art trackers typically rely on…

cs.CV2026

V-DPM: 4D Video Reconstruction with Dynamic Point Maps

Edgar Sucar, Eldar Insafutdinov, Zihang Lai +1

Powerful 3D representations such as DUSt3R invariant point maps, which encode 3D shape and camera parameters, have significantly advanced feed forward 3D reconstruction. While poin…

cs.CV2025

Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction

Edgar Sucar, Zihang Lai, Eldar Insafutdinov +1

DUSt3R has recently shown that one can reduce many tasks in multi-view geometry, including estimating camera intrinsics and extrinsics, reconstructing the scene in 3D, and establis…

cs.CV2024

SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark

Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard +4

Models for egocentric 3D and 4D reconstruction, including few-shot interpolation and extrapolation settings, can benefit from having images from exocentric viewpoints as supervisio…

cs.CV2024

Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng +4

We propose Flash3D, a method for scene reconstruction and novel view synthesis from a single image which is both very generalisable and efficient. For generalisability, we start fr…

cs.CV2022

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data

Eldar Insafutdinov, Dylan Campbell, João F. Henriques +1

We present a method for the accurate 3D reconstruction of partly-symmetric objects. We build on the strengths of recent advances in neural reconstruction and rendering such as Neur…

cs.CV2021

Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views

Robert McCraith, Eldar Insafutdinov, Lukas Neumann +1

We present a system for automatic converting of 2D mask object predictions and raw LiDAR point clouds into full 3D bounding boxes of objects. Because the LiDAR point clouds are par…

cs.CV2019

360-Degree Textures of People in Clothing from a Single Image

Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll

In this paper we predict a full 3D avatar of a person from a single image. We infer texture and geometry in the UV-space of the SMPL model using an image-to-image translation metho…

cs.CV2018★ 16 cited

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Eldar Insafutdinov, Alexey Dosovitskiy

We address the problem of learning accurate 3D shape and camera pose from a collection of unlabeled category-specific images. We train a convolutional network to predict both the s…

cs.CV2017

PoseTrack: A Benchmark for Human Pose Estimation and Tracking

Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov +4

Human poses and motions are important cues for analysis of videos with people and there is strong evidence that representations based on body pose are highly effective for a variet…

cs.CV2016

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

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV2016★ 18 cited

ArtTrack: Articulated Multi-person Tracking in the Wild

Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin +4

In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos. Our starting point is a model that resembles existing architectures for si…

cs.CV2016★ 15 cited

Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications

Evgeny Levinkov, Jonas Uhrig, Siyu Tang +7

We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical a…

cs.CV2016★ 7 cited

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV2016★ 113 cited

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres +2

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) i…

cs.CV2015★ 33 cited

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang +4

This paper considers the task of articulated human pose estimation of multiple people in real world images. We propose an approach that jointly solves the tasks of detection and po…