119 citations · 181 across the 22 of their papers we have counts for
23 papers
Popcorn: A Configurable Benchmark for Visual Evidence in Multimodal Movie Recommendation
Ali Tourani, Fatemeh Nazary, Yashar Deldjoo +1
Movies are long-form audiovisual works, yet recommender benchmarks often rely on trailers, thumbnails, or metadata. These sources differ in semantics and scalability: full movies p…
Passage-Aware Structural Mapping for RGB-D Visual SLAM
Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz +4
Doorways and passages are critical structural elements for indoor robot navigation, yet they remain underexplored in modern Visual SLAM (VSLAM) frameworks. This paper presents a pa…
SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking
Pedro Miguel Bastos Soares, Ali Tourani, Miguel Fernandez-Cortizas +3
Advancing research in fields such as Simultaneous Localization and Mapping (SLAM) and autonomous navigation critically depends on the availability of reliable and reproducible mult…
Human Interaction for Collaborative Semantic SLAM using Extended Reality
Laura Ribeiro, Muhammad Shaheer, Miguel Fernandez-Cortizas +3
Semantic SLAM (Simultaneous Localization and Mapping) systems enrich robot maps with structural and semantic information, enabling robots to operate more effectively in complex env…
BIM Informed Visual SLAM for Construction Environments
Asier Bikandi-Noya, Miguel Fernandez-Cortizas, Muhammad Shaheer +3
Monitoring building construction sites requires comparing the as-planned design with the as-built state, which can be estimated in real time using Simultaneous Localization and Map…
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
Fatemeh Nazary, Ali Tourani, Yashar Deldjoo +1
Recommending long-form video content demands joint modeling of visual, audio, and textual modalities, yet most benchmarks address only raw features or narrow fusion. We present ViL…
Interpretable Robot Control via Structured Behavior Trees and Large Language Models
Ingrid Maéva Chekam, Ines Pastor-Martinez, Ali Tourani +5
As intelligent robots become more integrated into human environments, there is a growing need for intuitive and reliable Human-Robot Interaction (HRI) interfaces that are adaptable…
Situationally-aware Path Planning Exploiting 3D Scene Graphs
Saad Ejaz, Marco Giberna, Muhammad Shaheer +5
3D Scene Graphs integrate both metric and semantic information, yet their structure remains underutilized for improving path planning efficiency and interpretability. In this work,…
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
Ali Tourani, Fatemeh Nazary, Yashar Deldjoo
This paper addresses the challenge of building multimodal recommender systems for the movie domain, where sparse item metadata (e.g., title and genres) can limit retrieval quality…
vS-Graphs: Tightly Coupling Visual SLAM and 3D Scene Graphs Exploiting Hierarchical Scene Understanding
Ali Tourani, Saad Ejaz, Hriday Bavle +4
Current Visual Simultaneous Localization and Mapping (VSLAM) systems often struggle to create maps that are both semantically rich and easily interpretable. While incorporating sem…
Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics
Ali Tourani, Deniz Isinsu Avsar, Hriday Bavle +3
Fiducial markers are widely used in robotics for navigation, object recognition, and scene understanding. While offering significant advantages for robots and Augmented Reality (AR…
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data
Ali Tourani, Saad Ejaz, Hriday Bavle +2
RGB-D cameras supply rich and dense visual and spatial information for various robotics tasks such as scene understanding, map reconstruction, and localization. Integrating depth a…
UAV-assisted Visual SLAM Generating Reconstructed 3D Scene Graphs in GPS-denied Environments
Ahmed Radwan, Ali Tourani, Hriday Bavle +2
Aerial robots play a vital role in various applications where the situational awareness of the robots concerning the environment is a fundamental demand. As one such use case, dron…
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey
Bahareh Ghari, Ali Tourani, Asadollah Shahbahrami +1
Pedestrian detection remains a critical problem in various domains, such as computer vision, surveillance, and autonomous driving. In particular, accurate and instant detection of…
Vision-based Situational Graphs Exploiting Fiducial Markers for the Integration of Semantic Entities
Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +3
Situational Graphs (S-Graphs) merge geometric models of the environment generated by Simultaneous Localization and Mapping (SLAM) approaches with 3D scene graphs into a multi-layer…
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework
Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei +1
Point-of-Interest (POI ) recommendation systems have gained popularity for their unique ability to suggest geographical destinations with the incorporation of contextual informatio…
Marker-based Visual SLAM leveraging Hierarchical Representations
Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +2
Fiducial markers can encode rich information about the environment and can aid Visual SLAM (VSLAM) approaches in reconstructing maps with practical semantic information. Current ma…
Visual SLAM: What are the Current Trends and What to Expect?
Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +1
Vision-based sensors have shown significant performance, accuracy, and efficiency gain in Simultaneous Localization and Mapping (SLAM) systems in recent years. In this regard, Visu…
A Robust Pedestrian Detection Approach for Autonomous Vehicles
Bahareh Ghari, Ali Tourani, Asadollah Shahbahrami
Nowadays, utilizing Advanced Driver-Assistance Systems (ADAS) has absorbed a huge interest as a potential solution for reducing road traffic issues. Despite recent technological ad…
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani +1
Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI)…
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani +1
Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies sug…
Iranis: A Large-scale Dataset of Farsi License Plate Characters
Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami +1
Providing huge amounts of data is a fundamental demand when dealing with Deep Neural Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in the a…
Using Exclusive Web Crawlers to Store Better Results in Search Engines' Database
Ali Tourani, Amir Seyed Danesh
Crawler-based search engines are the mostly used search engines among web and Internet users, involve web crawling, storing in database, ranking, indexing and displaying to the use…