CfP: Join us for the 3rd Workshop on More Exploration, Less Exploitation (MELEX 2026) at #ECCV2026 (@eccvconf ) in Malmö! 🇸🇪
Tired of minor SOTA-chasing tweaks? We are looking for bold, highly innovative and exploratory computer vision ideas! (1/3)
“Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation” IEEE TPAMI, is here! We present a further formulation of our gradient-based method for quantifying #uncertainty in monocular #depth predictions #NoTrainingNeeded.
Joint work between @UniFAU & @uni_ulm
Links⬇️
🎉🎄New WACV 2025 Publication!
"Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation" by Michele De Vita, Vasileios Belagiannis @UniFAU
We're excited to introduce one of the first uncertainty estimation methods for diffusion models!
Details below.
🎉🎄New WACV 2025 Publication!
"Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation" by Michele De Vita, Vasileios Belagiannis @UniFAU
We're excited to introduce one of the first uncertainty estimation methods for diffusion models!
Details below.
CfP: At the second #MELEX workshop (in conjunction with @eccvconf ), we will publish papers in all areas of #computervision that propose innovative models, algorithms, and ideas that show competitive results, but not necessarily the SOTA results. (1/2)
