Roman Klokov

According to our database, Roman Klokov authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Self-Supervised Dual Contouring.

Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams.

Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun

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

2021

Deep Learning for 3D Shape Modelling. (Deep learning pour la modélisation de formes 3D).

Roman Klokov

PhD thesis, 2021

2020

Discrete Point Flow Networks for Efficient Point Cloud Generation.

Roman Klokov, Edmond Boyer, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image.

Roman Klokov, Jakob Verbeek, Edmond Boyer

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models.

Roman Klokov, Victor S. Lempitsky

Proceedings of the IEEE International Conference on Computer Vision, 2017