activity
20222025
most citedTowards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models

4 citations · 5 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

StepAL: Step-aware Active Learning for Cataract Surgical Videos

Nisarg A. Shah, Bardia Safaei, Shameema Sikder +2

Active learning (AL) can reduce annotation costs in surgical video analysis while maintaining model performance. However, traditional AL methods, developed for images or short vide…

cs.CV2025

Certainty and Uncertainty Guided Active Domain Adaptation

Bardia Safaei, Vibashan VS, Vishal M. Patel

Active Domain Adaptation (ADA) adapts models to target domains by selectively labeling a few target samples. Existing ADA methods prioritize uncertain samples but overlook confiden…

cs.CV2025

Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning

Bardia Safaei, Faizan Siddiqui, Jiacong Xu +2

Visual instruction tuning (VIT) for large vision-language models (LVLMs) requires training on expansive datasets of image-instruction pairs, which can be costly. Recent efforts in…

cs.CV2025★ 4 cited

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models

Jiacong Xu, Shao-Yuan Lo, Bardia Safaei +2

Zero-Shot Anomaly Detection (ZSAD) is an emerging AD paradigm. Unlike the traditional unsupervised AD setting that requires a large number of normal samples to train a model, ZSAD…

cs.CV2024

Active Learning for Vision-Language Models

Bardia Safaei, Vishal M. Patel

Pre-trained vision-language models (VLMs) like CLIP have demonstrated impressive zero-shot performance on a wide range of downstream computer vision tasks. However, there still exi…

cs.DC2024

EdgeLinker: Practical Blockchain-based Framework for Healthcare Fog Applications to Enhance Security in Edge-IoT Data Communications

Mahdi Akbari Zarkesh, Ehsan Dastani, Bardia Safaei +1

The pervasive adoption of Internet of Things (IoT) has significantly advanced healthcare digitization and modernization. Nevertheless, the sensitive nature of medical data presents…

eess.SP2024

On the Performance of Unmanned Aerial Vehicles with MIMO VLC

Hosein Zarini, Amir Mohammadisarab, Maryam Farajzadeh Dehkordi +5

This paper centers around a multiple-input-multiple-output (MIMO) visible light communication (VLC) system, where an unmanned aerial vehicle (UAV) benefits from a light emitting di…

cs.CV2024★ 1 cited

Gradient-Regularized Out-of-Distribution Detection

Sina Sharifi, Taha Entesari, Bardia Safaei +2

One of the challenges for neural networks in real-life applications is the overconfident errors these models make when the data is not from the original training distribution. Addr…

cs.CV2023

Entropic Open-set Active Learning

Bardia Safaei, Vibashan VS, Celso M. de Melo +1

Active Learning (AL) aims to enhance the performance of deep models by selecting the most informative samples for annotation from a pool of unlabeled data. Despite impressive perfo…

cs.CV2022

Open-Set Automatic Target Recognition

Bardia Safaei, Vibashan VS, Celso M. de Melo +2

Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors. ATR algorithms are exten…