Video & Image Sense Lab

We make sense of video and images with artificial and human intelligence. The lab studies computer vision, deep learning and cognitive science. We are based at the Informatics Institute of the University of Amsterdam.

The VIS Lab embeds four public-private AI labs. QUVA Lab with Qualcomm, Atlas Lab with TomTom, AIM Lab with the Inception Institute of Artificial Intelligence and POP-AART with the Netherlands Cancer Institute and Elekta Oncology Systems. Spin-off's from the lab include Kepler Vision Technologies and Ellogon.ai.

News

  • [2024-7] 7 papers accepted at ECCV.
  • [2024-6] CVPR-FGVC workshop best paper for Yunhua, Hazel and Cees.
  • [2024-5] Yunhua Zhang selected for CVPR Doctoral Consortium.
  • [2024-3] Congratulations to Dr. Artem Moskalev for obtaining the doctorate degree.
  • [2024-2] 5 papers accepted at CVPR.
  • [2024-1] 5 papers accepted at ICLR.
  • [2023-12] Congratulations to VIS-lab alumnus Dr. Zenglin Shi for being promoted to Full Professor at Hefei University of Technology.
  • [2023-12] Congratulations to Dr. Fida Thoker for obtaining the doctorate degree.
  • [2023-11] Piyush Bagad receives KHMW Thesis Prize.
  • [2023-11] Congratulations to Dr. Adeel Pervez for obtaining the doctorate degree.
  • [2023-9] Yuki Asano and Pascal Mettes recognized as outstanding reviewers for ICCV 2023.
  • [2023-9] 7 papers accepted at NeurIPS.
  • [2023-8] Hazel Doughty awarded NWO Veni Grant.
  • [2023-8] Tao Hu and Fida Thoker selected for ICCV Doctoral Consortium.
  • [2023-7] 8 papers accepted at ICCV.
  • [2023-7] Congratulations to Dr. Yunlu Chen, Dr. Tao Hu and Dr. Shuo Chen for obtaining the doctorate degree.

Old News

Recent Publications

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Any-Shift Prompting for Generalization over Distributions

CVPR 2024
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek
PDF
Any-Shift Prompting for Generalization over Distributions

How to Train Neural Field Representations: A Comprehensive Study and Benchmark

CVPR 2024
Samuele Papa, Riccardo Valperga, David Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
PDF Code
How to Train Neural Field Representations: A Comprehensive Study and Benchmark

Learning to Count without Annotations

CVPR 2024
Lukas Knobel, Tengda Han, Yuki M. Asano
PDF Code
Learning to Count without Annotations

Low-Resource Vision Challenges for Foundation Models

CVPR 2024
Yunhua Zhang, Hazel Doughty, Cees Snoek
PDF Code Dataset Poster Slides
Low-Resource Vision Challenges for Foundation Models

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs

CVPR 2024
Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M Asano
PDF Code
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
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Topics

3D computer vision Action and behavior recognition action localization action recognition AI for Health Causal Representation Learning Continual Learning few-shot learning generative model Image retrieval low-shot Medical Image Analysis Motion and tracking Multi-modal learning Recognition (object detection, categorization) Self-supervised learning semi- and un-supervised learning Transfer, low-shot, semi- and un-supervised learning Video analysis and understanding Visual reasoning and logical representation

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