65 citations · 124 across the 34 of their papers we have counts for
6 papers · 1 filter
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…
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…
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
Ashish Sinha, Jeremy Kawahara, Arezou Pakzad +6
In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations,…
SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
Kseniya Cherenkova, Elona Dupont, Anis Kacem +3
3D scanning as a technique to digitize objects in reality and create their 3D models, is used in many fields and areas. Though the quality of 3D scans depends on the technical char…
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
Indel Pal Singh, Enjie Ghorbel, Anis Kacem +2
In this paper, a discriminator-free adversarial-based Unsupervised Domain Adaptation (UDA) for Multi-Label Image Classification (MLIC) referred to as DDA-MLIC is proposed. Recently…