Tootfinder

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
George Clinton:
🎵 Silly Millameter
#GeorgeClinton
https://open.spotify.com/track/5KdZNYPYOzY47TN9V2WGbz

Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
Jakub {\L}ucki, Jonathan Becktor, Georgios Georgakis, Robert Royce, Shehryar Khattak
https://arxiv.org/abs/2508.11584

Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
Deploying multiple machine learning models on resource-constrained robotic platforms for different perception tasks often results in redundant computations, large memory footprints, and complex integration challenges. In response, this work presents Visual Perception Engine (VPEngine), a modular framework designed to enable efficient GPU usage for visual multitasking while maintaining extensibility and developer accessibility. Our framework architecture leverages a shared foundation model backb…

On my way back from Khan Scopes I thought I'd poke into #YorkdaleMall — I hadn't been there in decades either, having once upon a time taken the kids to the now-vanished Rainforest, and good gracious me, the very existence of shops larger than a supermarket only selling designer handbags already shatters my faith in humanity, but acres and acres of the same, aisle after aisle? How is this even possible?
#thisplanetisdoomed

🚮 Americans’ junk-filled garages are hurting EV adoption, study says
https://arstechnica.com/cars/2025/08/junk-filled-garages-hurt-ev-sales-as-people-dont-have-room-for-chargers/

Americans’ junk-filled garages are hurting EV adoption, study says
A new report looks at barriers to EV charging.

Road Obstacle Video Segmentation
Shyam Nandan Rai, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Barbara Caputo, Carlo Masone, Zeynep Akata
https://arxiv.org/abs/2509.13181 htt…

Road Obstacle Video Segmentation
With the growing deployment of autonomous driving agents, the detection and segmentation of road obstacles have become critical to ensure safe autonomous navigation. However, existing road-obstacle segmentation methods are applied on individual frames, overlooking the temporal nature of the problem, leading to inconsistent prediction maps between consecutive frames. In this work, we demonstrate that the road-obstacle segmentation task is inherently temporal, since the segmentation maps for cons…

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
Andrea Castellani, Zacharias Papadovasilakis, Giorgos Papoutsoglou, Mary Cole, Brian Bautsch, Tobias Rodemann, Ioannis Tsamardinos, Angela Harden
https://arxiv.org/abs/2508.11504

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
Motor vehicle crashes remain a leading cause of injury and death worldwide, necessitating data-driven approaches to understand and mitigate crash severity. This study introduces a curated dataset of more than 3 million people involved in accidents in Ohio over six years (2017-2022), aggregated to more than 2.3 million vehicle-level records for predictive analysis. The primary contribution is a transparent and reproducible methodology that combines Automated Machine Learning (AutoML) and explain…

🇺🇦 #NowPlaying on KEXP's #SundaySoul
Grace Jones:
🎵 Pull Up To The Bumper
#GraceJones
https://djludoremix1.bandcamp.com/track/grace-jones-pull-up-to-the-bumper
https://open.spotify.com/track/72uS4v9EdiXZeascM5RTl7

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Grace Cummings:
🎵 Ramona
#GraceCummings
https://gracecummings.bandcamp.com/track/ramona
https://open.spotify.com/track/3jP5pUJsLMgWsD3TZVx6xm