activity
20202026
most citedReviving Iterative Training with Mask Guidance for Interactive Segmentation

8 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

COSMI: COmpositional Synthesis of Multi-object Interactions

Daniel Eskandar, Ilya A. Petrov, Gerard Pons-Moll

Generative models of human-object interaction are bounded by the data that exists: everyday activities involve several objects, but most captured datasets record one at a time, as…

cs.CV2023★ 2 cited

Object pop-up: Can we infer 3D objects and their poses from human interactions alone?

Ilya A. Petrov, Riccardo Marin, Julian Chibane +1

The intimate entanglement between objects affordances and human poses is of large interest, among others, for behavioural sciences, cognitive psychology, and Computer Vision commun…

cs.CV2022★ 6 cited

BEHAVE: Dataset and Method for Tracking Human Object Interactions

Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov +3

Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior ana…

cs.CV2021★ 8 cited

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

Konstantin Sofiiuk, Ilia A. Petrov, Anton Konushin

Recent works on click-based interactive segmentation have demonstrated state-of-the-art results by using various inference-time optimization schemes. These methods are considerably…

cs.CV2020★ 2 cited

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

Konstantin Sofiiuk, Ilia Petrov, Olga Barinova +1

Deep neural networks have become a mainstream approach to interactive segmentation. As we show in our experiments, while for some images a trained network provides accurate segment…