3 papers
cs.RO2026
An Exposure-Time-Aligned Primary-Path Architecture for Autonomous-Driving ECUs
Toru Saito, Yuki Hagura, Tatsuya Konishi +2
While end-to-end (E2E) autonomous driving has become the dominant research direction, production vehicles continue to rely on modular multi-NN pipelines for a non-trivial transitio…
cs.CV2025
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
Satoshi Hashimoto, Tatsuya Konishi, Tomoya Kaichi +2
Video anomaly detection (VAD) has long been studied as a crucial problem in public security and crime prevention. In recent years, weakly-supervised VAD (WVAD) have attracted consi…
cs.LG2025
Learning After Model Deployment
Derda Kaymak, Gyuhak Kim, Tomoya Kaichi +2
In classic supervised learning, once a model is deployed in an application, it is fixed. No updates will be made to it during the application. This is inappropriate for many dynami…