Divide and Conquer the Embedding Space for Metric Learning. - Artsiom Sanakoyeu; Vadim Tschernezki; Uta Büchler; Björn Ommer (CVPR, 2019)

Human-Machine Collaboration for Medical Image Segmentation. - Mahdyar Ravanbakhsh; Vadim Tschernezki; Felix Last; Tassilo Klein; Kayhan Batmanghelich; Volker Tresp; Moin Nabi (ICASSP, 2020)

NeuralDiff: Segmenting 3D objects that move in egocentric videos. - Vadim Tschernezki; Diane Larlus; Andrea Vedaldi (3DV, 2021)

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. - Vadim Tschernezki; Iro Laina; Diane Larlus; Andrea Vedaldi (3DV, 2022)

Improving Deep Metric Learning by Divide and Conquer. - Artsiom Sanakoyeu; Pingchuan Ma 006; Vadim Tschernezki; Björn Ommer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

EPIC Fields: Marrying 3D Geometry and Video Understanding. - Vadim Tschernezki; Ahmad Darkhalil; Zhifan Zhu 001; David Fouhey; Iro Laina; Diane Larlus; Dima Damen; Andrea Vedaldi (NeurIPS, 2023)

3D-Aware Instance Segmentation and Tracking in Egocentric Videos. - Yash Bhalgat; Vadim Tschernezki; Iro Laina; João F. Henriques; Andrea Vedaldi; Andrew Zisserman (ACCV (3), 2024)

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos. - Vadim Tschernezki; Diane Larlus; Iro Laina; Andrea Vedaldi (CVPR, 2025)