Presenter

Dima Damen is a professor of computer vision at the University of Bristol and senior research scientist at Google DeepMind. Dima is currently an EPSRC Fellow (2020-2026), focusing her research interests in the automatic understanding of object interactions, actions and activities using wearable visual (and depth) sensors. She is best known for her leading works in egocentric vision, and has also contributed to novel research questions including mono-to-3D, video object segmentation, assessing action completion, domain adaptation, skill/expertise determination from video sequences, discovering task-relevant objects, dual-domain and dual-time learning, as well as multi-modal fusion using vision, audio, and language.

She is the project lead for EPIC-KITCHENS, the seminal dataset in egocentric vision, with accompanying open challenges and follow-up works: EPIC-Sounds, VISOR, and EPIC Fields, as well as the recent HD-EPIC. She is part of the large-scale consortium effort Ego4D and Ego-Exo4D. She is an ELLIS Fellow, associate editor (AE) of IJCV, and was a program chair for ICCV 2021 and associate editor-in-chief (AEIC) of IEEE TPAMI (2023-2025). She is frequently a senior area chair and area chair in major conferences and was selected as Outstanding SAC in ECCV 2024 and Outstanding Reviewer in CVPR2021, CVPR2020, ICCV2017, CVPR2013, and CVPR2012. Dima received her PhD from the University of Leeds (2009), then joined the University of Bristol as a postdoctoral researcher (2010-2012), assistant professor (2013-2018), associate professor (2018-2021), and was appointed as chair in August 2021. She supervises nine PhD students and three visiting PhD students.

At the University of Bristol, Dima leads the Machine Learning and Computer Vision (MaVi) lab.

At Google DeepMind, Dima is part of the Vision team, led by Andrew Zisserman, focusing on video understanding research. Her latest contribution is to the CVPR 2025 paper, "Learning from Streaming Video with Orthogonal Gradients."