11 citations · 22 across the 17 of their papers we have counts for
17 papers
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
Nethmi S. Hewawiththi, M. Mahesha Viduranga, Vanodhya G. Warnasooriya +4
Unmanned aerial vehicle-assisted disaster recovery missions have been promoted recently due to their reliability and flexibility. Machine learning algorithms running onboard signif…
PINNs for Medical Image Analysis: A Survey
Chayan Banerjee, Kien Nguyen, Olivier Salvado +2
The incorporation of physical information in machine learning frameworks is transforming medical image analysis (MIA). By integrating fundamental knowledge and governing physical l…
NeRF Director: Revisiting View Selection in Neural Volume Rendering
Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal +3
Neural Rendering representations have significantly contributed to the field of 3D computer vision. Given their potential, considerable efforts have been invested to improve their…
Automatic Radar Signal Detection and FFT Estimation using Deep Learning
Akila Pemasiri, Zi Huang, Fraser Williams +4
This paper addresses a critical preliminary step in radar signal processing: detecting the presence of a radar signal and robustly estimating its bandwidth. Existing methods which…
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
Rongkai Ma, Leo Lebrat, Rodrigo Santa Cruz +4
Neural radiance fields (NeRFs) have exhibited potential in synthesizing high-fidelity views of 3D scenes but the standard training paradigm of NeRF presupposes an equal importance…
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss
Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh +2
The fusion of vision and language has brought about a transformative shift in computer vision through the emergence of Vision-Language Models (VLMs). However, the resource-intensiv…