1 citations · 3 across the 5 of their papers we have counts for
5 papers
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
We introduce TCAM-Diff, a novel 3D medical image generation model that reduces the memory requirements to encode and generate high-resolution 3D data. This model utilizes a decoder…
Deep Learning-Based Computer Vision for Beam Selection and Proactive Blockage Prediction
Sachira Karunasena, Erfan Khordad, Tom Drummond +1
Millimeter-wave communication faces two critical challenges: propagation losses requiring costly narrow-beam alignment, and penetration losses causing link failures from blocked li…
Deep Learning based Computer-vision for Enhanced Beamforming
Sachira Karunasena, Erfan Khordad, Thomas Drummond +1
Meeting the high data rate demands of modern applications necessitates the utilization of high-frequency spectrum bands, including millimeter-wave and sub-terahertz bands. However,…
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
Markus Hiller, Krista A. Ehinger, Tom Drummond
We present a novel bi-directional Transformer architecture (BiXT) which scales linearly with input size in terms of computational cost and memory consumption, but does not suffer t…
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
This paper introduces two key contributions aimed at improving the speed and quality of images generated through inverse diffusion processes. The first contribution involves repara…