On my way to #ICCV2025 in Honolulu 🏝️ @iccv.bsky.social I will share results on ongoing projects I am working on at @yorkuniversity.bsky.social and at the University of Udine Looking forward to discussions! 1/3
Matteo Dunnhofer
@mdunnhofer.bsky.social
computer vision researcher | MSCA postdoc fellow at University of Udine and York University | ELLIS member https://matteo-dunnhofer.github.io
Our #ICCV2025 paper will be presented as an Highlight ✨
Matteo Dunnhofer@mdunnhofer.bsky.social · last yr.Is Tracking really more challenging in First Person Egocentric Vision? Our new #ICCV2025 paper follows up our IJCV 2023 study (bit.ly/4nVRJw9). We further investigate the causes of performance drops in object and segmentation tracking under egocentric FPV settings. 🧵 (1/7)
Is Tracking really more challenging in First Person Egocentric Vision? Our new #ICCV2025 paper follows up our IJCV 2023 study (bit.ly/4nVRJw9). We further investigate the causes of performance drops in object and segmentation tracking under egocentric FPV settings. 🧵 (1/7)
In the past weeks we have been around NETI at @utaustin.bsky.social, @vssmtg.bsky.social 2025, and the CVR-CIAN conf. @yorkuniversity.bsky.social, to discuss early findings on modeling object motion in the macaque visual system by deep neural networks. Details to appear soon! @kohitij.bsky.social
The teams behind the workshops on Computer Vision for Winter Sports at @wacvconference.bsky.social and on Computer Vision in Sports at @cvprconference.bsky.social have joined forces in the organisation of a special issue in CVIU on topics related to computer vision applications in sports. 1/2
We are now live with the 3d Workshop on Computer Vision for Winter Sports @wacvconference.bsky.social #WACV2025. Make sure to attend if you are around!
Matteo Dunnhofer@mdunnhofer.bsky.social · 2y agoThe #SkiTB Visual Tracking Challenge at #WACV2025 is open for submissions! The goal is to track a skier in a video capturing his/her full performance across multiple video cameras, and it is based on our recently released SkiTB dataset. 🎥 youtu.be/Aos5iKrYM5o 1/3
Today at @wacvconference.bsky.social #WACV2025, we present LowFormer, a new family of convolutional-transformer architectures for computer vision that improve efficiency by optimizing running time on hardware rather than minimizing MAC operations. arXiv: arxiv.org/abs/2409.03460 1/6
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
Research in efficient vision backbones is evolving into models that are a mixture of convolutions and transformer blocks. A smart combination of both, architecture-wise and component-wise is mandatory...
arxiv.org
The #SkiTB Visual Tracking Challenge at #WACV2025 is open for submissions! The goal is to track a skier in a video capturing his/her full performance across multiple video cameras, and it is based on our recently released SkiTB dataset. 🎥 youtu.be/Aos5iKrYM5o 1/3
[WACV 2024] Tracking Skiers from the Top to the Bottom - qualitative examples
YouTube video by Matteo Dunnhofer
youtu.be
The outgoing phase of my MSCA project PRINNEVOT has started a few days ago. I am now at the #CentreforVisionResearch of #YorkUniversity. I am looking forward to the next two years of research at the intersection of computer vision and visual neuroscience! 🤖🧠
