activity
20242026
most citedA Probabilistic-based Drift Correction Module for Visual Inertial SLAMs

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Loki: Representation over Architecture for Diffusion-Based Portrait Animation

Pouyan Navard, Sernam Lim

Portrait animation transfers a driver clip's facial expression and head pose onto a single reference image while preserving the reference's identity. State-of-the-art diffusion sys…

cs.CV2026

SeamCam: Quantifying Seamless Camouflage via Multi-Cue Visual Detectability

Amin Karimi Monsefi, Abolfazl Meyarian, Mridul Khurana +6

Animals are described as effectively camouflaged when they blend seamlessly with their surrounding, yet no standardized quantitative measure of this seamlessness exists. We address…

cs.CV2026

LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration

Gokce Inal, Pouyan Navard, Alper Yilmaz

Recent advances in multimodal vision-language models (VLMs) have enabled joint reasoning over visual and textual information, yet their application to planetary science remains lar…

q-bio.QM2025

ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound

Yasemin Ozkut, Pouyan Navard, Srikar Adhikari +4

Retinal detachment (RD) is a vision-threatening condition that requires prompt intervention to preserve sight. A critical factor in treatment urgency and visual prognosis is macula…

cs.CV2024★ 1 cited

KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models

Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou +3

Recent advances in diffusion models have significantly improved text-to-image (T2I) generation, but they often struggle to balance fine-grained precision with high-level control. M…

cs.CV2024

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation

Shehan Perera, Pouyan Navard, Alper Yilmaz

The adoption of Vision Transformers (ViTs) based architectures represents a significant advancement in 3D Medical Image (MI) segmentation, surpassing traditional Convolutional Neur…

cs.RO2024★ 3 cited

A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs

Pouyan Navard, Alper Yilmaz

Positioning is a prominent field of study, notably focusing on Visual Inertial Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) methods. Despite their advancements,…