110 citations · 245 across the 67 of their papers we have counts for
13 papers · 1 filter
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing
Arunkumar Rathinam, Haytam Qadadri, Djamila Aouada
In recent years, there has been a growing demand for improved autonomy for in-orbit operations such as rendezvous, docking, and proximity maneuvers, leading to increased interest i…
Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric
Nilotpal Sinha, Abd El Rahman Shabayek, Anis Kacem +3
Hardware-aware Neural Architecture Search (HW-NAS) is a technique used to automatically design the architecture of a neural network for a specific task and target hardware. However…
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
Dimitrios Mallis, Sk Aziz Ali, Elona Dupont +6
Recent breakthroughs in geometric Deep Learning (DL) and the availability of large Computer-Aided Design (CAD) datasets have advanced the research on learning CAD modeling processe…
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Sk Aziz Ali, Djamila Aouada, Gerd Reis +1
Accurate, robust, and real-time LiDAR-based odometry (LO) is imperative for many applications like robot navigation, globally consistent 3D scene map reconstruction, or safe motion…
Space Debris: Are Deep Learning-based Image Enhancements part of the Solution?
Michele Jamrozik, Vincent Gaudillière, Mohamed Adel Musallam +1
The volume of space debris currently orbiting the Earth is reaching an unsustainable level at an accelerated pace. The detection, tracking, identification, and differentiation betw…
Impact of Disentanglement on Pruning Neural Networks
Carl Shneider, Peyman Rostami, Anis Kacem +3
Deploying deep learning neural networks on edge devices, to accomplish task specific objectives in the real-world, requires a reduction in their memory footprint, power consumption…