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20112026
most citedEnsemble of Example-Dependent Cost-Sensitive Decision Trees

25 citations · 75 across the 26 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

CAD-Recode: Reverse Engineering CAD Code from Point Clouds

Danila Rukhovich, Elona Dupont, Dimitrios Mallis +3

Computer-Aided Design (CAD) models are typically constructed by sequentially drawing parametric sketches and applying CAD operations to obtain a 3D model. The problem of 3D CAD rev…

cs.CV2024

CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers

Dimitrios Mallis, Ahmet Serdar Karadeniz, Sebastian Cavada +5

We propose CAD-Assistant, a general-purpose CAD agent for AI-assisted design. Our approach is based on a powerful Vision and Large Language Model (VLLM) as a planner and a tool-aug…

cs.CV2024

FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection

Dat Nguyen, Marcella Astrid, Enjie Ghorbel +1

Recently, Vision Transformers (ViTs) have achieved unprecedented effectiveness in the general domain of image classification. Nonetheless, these models remain underexplored in the…

cs.CV2024

Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions

Arunkumar Rathinam, Leo Pauly, Abd El Rahman Shabayek +4

Multispectral pedestrian detection has gained significant attention in recent years, particularly in autonomous driving applications. To address the challenges posed by adversarial…

cs.CV2024

DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference

Ahmet Serdar Karadeniz, Dimitrios Mallis, Nesryne Mejri +3

This work presents DAVINCI, a unified architecture for single-stage Computer-Aided Design (CAD) sketch parameterization and constraint inference directly from raster sketch images.…

cs.CV20241 cited

A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

Niki Maria Foteinopoulou, Enjie Ghorbel, Djamila Aouada

Explainability in artificial intelligence is crucial for restoring trust, particularly in areas like face forgery detection, where viewers often struggle to distinguish between rea…