Vladimir Iashin

According to our database, Vladimir Iashin authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Vladimir Iashin, Horace Lee, Dan Schofield, Andrew Zisserman

CoRR, July, 2025

Temporally Aligned Audio for Video with Autoregression.

Ilpo Viertola, Vladimir Iashin, Esa Rahtu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Synchformer: Efficient Synchronization From Sparse Cues.

Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multi-modal Video Content Understanding.

Vladimir Iashin

PhD thesis, 2023

2022

The CORSMAL Benchmark for the Prediction of the Properties of Containers.

Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro

IEEE Access, 2022

Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors.

Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Multi-modal estimation of the properties of containers and their content: survey and evaluation.

Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro

CoRR, 2021

Taming Visually Guided Sound Generation.

Vladimir Iashin, Esa Rahtu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-Robot Handovers.

Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Multi-modal Dense Video Captioning.

Vladimir Iashin, Esa Rahtu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer.

Vladimir Iashin, Esa Rahtu

Proceedings of the 31st British Machine Vision Conference 2020, 2020