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Vadim Tschernezki
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2020 – today
- 2024
- [i6]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - 2023
- [c5]Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi:
EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS 2023 - [i5]Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi:
EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR abs/2306.08731 (2023) - 2022
- [j1]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8306-8320 (2022) - [c4]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV 2022: 443-453 - [i4]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR abs/2209.03494 (2022) - 2021
- [c3]Vadim Tschernezki, Diane Larlus, Andrea Vedaldi:
NeuralDiff: Segmenting 3D objects that move in egocentric videos. 3DV 2021: 910-919 - [i3]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. CoRR abs/2109.04003 (2021) - [i2]Vadim Tschernezki, Diane Larlus, Andrea Vedaldi:
NeuralDiff: Segmenting 3D objects that move in egocentric videos. CoRR abs/2110.09936 (2021) - 2020
- [c2]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044
2010 – 2019
- 2019
- [c1]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CVPR 2019: 471-480 - [i1]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CoRR abs/1906.05990 (2019)
Coauthor Index
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