10 citations · 11 across the 5 of their papers we have counts for
5 papers
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds
Elona Dupont, Kseniya Cherenkova, Dimitrios Mallis +3
3D reverse engineering, in which a CAD model is inferred given a 3D scan of a physical object, is a research direction that offers many promising practical applications. This paper…
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction
Zacharias Anastasakis, Dimitrios Mallis, Markos Diomataris +3
We present a novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD). Motivated by the effectiveness of Masked…
Interpretable Visual Question Answering via Reasoning Supervision
Maria Parelli, Dimitrios Mallis, Markos Diomataris +1
Transformer-based architectures have recently demonstrated remarkable performance in the Visual Question Answering (VQA) task. However, such models are likely to disregard crucial…
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…
An Incremental Learning framework for Large-scale CTR Prediction
Petros Katsileros, Nikiforos Mandilaras, Dimitrios Mallis +3
In this work we introduce an incremental learning framework for Click-Through-Rate (CTR) prediction and demonstrate its effectiveness for Taboola's massive-scale recommendation ser…