works on

From the 1 of 16 linked papers with an AI index.

activity
20242026
most citedDistractor-Aware Video Object Segmentation

3 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty

Arnold Brosch, Abdelrahman Eldesokey, Michael Felsberg +1

Deep neural networks achieve superior performance in semantic segmentation, but are limited to a predefined set of classes, which leads to failures when they encounter unknown obje…

cs.CV2025

PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes

Ahmed Abdelreheem, Filippo Aleotti, Jamie Watson +6

We introduce the novel task of Language-Guided Object Placement in Real 3D Scenes. Our model is given a 3D scene's point cloud, a 3D asset, and a textual prompt broadly describing…

cs.CV2025

Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation

Abdelrahman Eldesokey, Aleksandar Cvejic, Bernard Ghanem +1

We propose a novel approach for disentangling visual and semantic features from the backbones of pre-trained diffusion models, enabling visual correspondence in a manner analogous…

cs.CV2025

PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models

Aleksandar Cvejic, Abdelrahman Eldesokey, Peter Wonka

We present the first text-based image editing approach for object parts based on pre-trained diffusion models. Diffusion-based image editing approaches capitalized on the deep unde…

cs.CV2025

EditCLIP: Representation Learning for Image Editing

Qian Wang, Aleksandar Cvejic, Abdelrahman Eldesokey +1

We introduce EditCLIP, a novel representation-learning approach for image editing. Our method learns a unified representation of edits by jointly encoding an input image and its ed…