activity
20202026
most citedTaming Visually Guided Sound Generation

19 citations · 30 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

BossouChimpanzee: Long-term Chimpanzee Video Dataset

Daniel Schofield, Susana Carvalho, Vladimir Iashin +10

We describe the BossouChimpanzee video dataset, a unique long-term visual record of wild chimpanzees at an outdoor laboratory for field experiments in Bossou, Guinea, spanning thre…

cs.LG2026

PRAGMA: Revolut Foundation Model

Maxim Ostroukhov, Ruslan Mikhailov, Vladimir Iashin +11

Modern financial systems generate vast quantities of transactional and event-level data that encode rich economic signals. This paper presents PRAGMA, a family of foundation models…

cs.CV2025

Video Object Segmentation-Aware Audio Generation

Ilpo Viertola, Vladimir Iashin, Esa Rahtu

Existing multimodal audio generation models often lack precise user control, which limits their applicability in professional Foley workflows. In particular, these models focus on…

cs.CV2025

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder

Vladimir Iashin, Horace Lee, Dan Schofield +1

Camera traps are revolutionising wildlife monitoring by capturing vast amounts of visual data; however, the manual identification of individual animals remains a significant bottle…

cs.CV2024

Temporally Aligned Audio for Video with Autoregression

Ilpo Viertola, Vladimir Iashin, Esa Rahtu

We introduce V-AURA, the first autoregressive model to achieve high temporal alignment and relevance in video-to-audio generation. V-AURA uses a high-framerate visual feature extra…

cs.CV2024★ 1 cited

Synchformer: Efficient Synchronization from Sparse Cues

Vladimir Iashin, Weidi Xie, Esa Rahtu +1

Our objective is audio-visual synchronization with a focus on 'in-the-wild' videos, such as those on YouTube, where synchronization cues can be sparse. Our contributions include a…