3 papers
cs.CV2026
GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies
Uzair Shah, Marco Agus, Mahmoud Gamal +5
Neuronal morphology encodes critical information about circuit function, development, and disease, yet current methods analyze topology or graph structure in isolation. We introduc…
cs.CV2021
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
Ahmed Badar, Arnav Varma, Adrian Staniec +5
Convolutional neural networks (CNNs) have become commonplace in addressing major challenges in computer vision. Researchers are not only coming up with new CNN architectures but ar…
cs.CV2018
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
Mennatullah Siam, Chen Jiang, Steven Lu +4
Video object segmentation is an essential task in robot manipulation to facilitate grasping and learning affordances. Incremental learning is important for robotics in unstructured…