1 citations · 3 across the 11 of their papers we have counts for
11 papers
FineHOI: Part-Aware Dense Representations for Zero-Shot Human-Object Interaction Detection
Francesco Tonini, Lorenzo Vaquero, Mohammad Mahdi Derakhshani +3
Human-Object Interaction (HOI) detection aims to localize humans and objects in images and classify their interactions. Zero-shot HOI focuses on recognizing interactions that are n…
GAP3D: Generative Alignment of VLM Latents to Patch-Level Embeddings for 3D Generation
Polytimi Anna Gkotsi, Andrii Zadaianchuk, Mohammad Mahdi Derakhshani
Recent approaches integrating vision-language models (VLMs) as prompt encoders for generative model conditioning typically rely on expensive end-to-end training or map features to…
Private PoEtry: Private In-Context Learning via Product of Experts
Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit +3
In-context learning (ICL) enables Large Language Models (LLMs) to adapt to new tasks with only a small set of examples at inference time, thereby avoiding task-specific fine-tuning…
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
Răzvan-Andrei Matişan, Vincent Tao Hu, Grigory Bartosh +6
We introduce Purrception, a variational flow matching approach for vector-quantized image generation that provides explicit categorical supervision while maintaining continuous tra…
NeoBabel: A Multilingual Open Tower for Visual Generation
Mohammad Mahdi Derakhshani, Dheeraj Varghese, Marzieh Fadaee +1
Text-to-image generation advancements have been predominantly English-centric, creating barriers for non-English speakers and perpetuating digital inequities. While existing system…
Continual Hyperbolic Learning of Instances and Classes
Melika Ayoughi, Mina Ghadimi Atigh, Mohammad Mahdi Derakhshani +3
Continual learning has traditionally focused on classifying either instances or classes, but real-world applications, such as robotics and self-driving cars, require models to hand…