most citedIncreasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Context-aware Bayesian Fusion for Multimodal Object Detection

Arunachalam Venkatachalam, Mhafuzul Islam, Marwan Yusuf +3

Reliable detection of pedestrians and road users is essential for the safe operation of autonomous vehicles. However, this task becomes increasingly challenging under adverse envir…

cs.CV2026

AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study

Siri Willems, Ishika Jain, Jens De Winne +9

Current image-guided neuronavigation techniques, such as intraoperative MRI and ultrasound, are limited by high costs, limited sensitivity and operational complexity. There is a cl…

cs.AI2026

KernelArc: A Multi-Agent Framework for GPU Kernel Optimization

Joyjit Kundu, Ben Stoffelen, Kaili Wang +2

We present KernelArc, a multi-agent framework for autonomous GPU kernel optimization across heterogeneous workloads. Strategy-specialized agents run in parallel and coordinate thro…

cs.CV2026

Addressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation

Kaili Wang, Martin Dimitrievski, Jose Maria Salvador +3

Latent diffusion models (LDMs) enable efficient image-to-image translation but discard fine spatial details during compression, degrading downstream perception tasks. We identify t…

cs.CV2025★ 1 cited

Increasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications

Kaili Wang, Leonardo Ravaglia, Roberto Longo +5

Thermal imaging in Advanced Driver Assistance Systems (ADAS) improves road safety with superior perception in low-light and harsh weather conditions compared to traditional RGB cam…