activity
20202026
most citedMaskTune: Mitigating Spurious Correlations by Forcing to Explore

20 citations · 43 across the 29 of their papers we have counts for

collaborators

19 papers

cs.CV2026

RECOUNT: Reference-guided Counting with Synthetic Visual Exemplars

Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh

Text-guided zero-shot object counters excel at spatial localization but categorize poorly on novel or fine-grained classes: natural language is too coarse to fully specify visual i…

cs.CV2026

HairPort: In-context 3D-aware Hair Import and Transfer for Images

Alireza Heidari, Amirhossein Alimohammadi, Ali Mahdavi-Amiri

Transferring hairstyles between images is an important but challenging task in computer graphics, computer vision, and visual effects. It enables users to explore new looks without…

cs.CV2026

Video Analysis and Generation via a Semantic Progress Function

Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri +2

Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, ab…

cs.GR2026

Untwisting RoPE: Frequency Control for Shared Attention in DiTs

Aryan Mikaeili, Or Patashnik, Andrea Tagliasacchi +2

Positional encodings are essential to transformer-based generative models, yet their behavior in multimodal and attention-sharing settings is not fully understood. In this work, we…

cs.CV2025

In-Context Sync-LoRA for Portrait Video Editing

Sagi Polaczek, Or Patashnik, Ali Mahdavi-Amiri +1

Editing portrait videos is a challenging task that requires flexible yet precise control over a wide range of modifications, such as appearance changes, expression edits, or the ad…

cs.CV2025

Griffin: Generative Reference and Layout Guided Image Composition

Aryan Mikaeili, Amirhossein Alimohammadi, Negar Hassanpour +2

Text-to-image models have achieved a level of realism that enables the generation of highly convincing images. However, text-based control can be a limiting factor when more explic…