Maksym Ivashechkin

According to our database, Maksym Ivashechkin authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Meaningful Pose-Based Sign Language Evaluation.

Zifan Jiang, Colin Leong, Amit Moryossef, Anne Göhring, Annette Rios, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Rico Sennrich, Sarah Ebling

CoRR, October, 2025

HuGeDiff: 3D Human Generation via Diffusion with Gaussian Splatting.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

CoRR, June, 2025

SignSplat: Rendering Sign Language via Gaussian Splatting.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

CoRR, May, 2025

HandOcc: NeRF-based Hand Rendering with Occupancy Networks.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

CoRR, May, 2025

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation.

Harry Walsh, Maksym Ivashechkin, Richard Bowden

Proceedings of the Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents, 2025

2024

Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

Denoising Diffusion for 3D Hand Pose Estimation from Images.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving 3D Pose Estimation For Sign Language.

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

USACv20: robust essential, fundamental and homography matrix estimation.

Maksym Ivashechkin, Daniel Barath, Jiri Matas

CoRR, 2021

VSAC: Efficient and Accurate Estimator for H and F.

Maksym Ivashechkin, Daniel Barath, Jirí Matas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

MAGSAC++, a Fast, Reliable and Accurate Robust Estimator.

Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Progressive NAPSAC: sampling from gradually growing neighborhoods.

Daniel Barath, Maksym Ivashechkin, Jiri Matas

CoRR, 2019