This is to let you know that the submission deadline for regular papers to IEEE PICom 2025 has been extended to June 20, 2025. 🎉
Please consider submitting your work, and feel free to share the CFP with anyone who might be interested.
You can find all the details below in the email and here: https://cyber-science.org/2025/picom/
Feel free to contact me if you have any questions or concerns.
Looking forward to your contributions!
Best regards,
Call for Papers – CHILECON 2025 Video Games Track
June 10th, 2025 
Daniela Lopez de Luise 
Flyer-TrackVideojuegosCHILECON-2025.pdfICLAD – Int’l Conf. on LLM-Aided Design, Final Call for Participation
June 10th, 2025 Daniela Lopez de Luise -
Christopher Manning, Stanford
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Jeff Dean, Google DeepMind and Google Research
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Ruchir Puri, IBM
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Karina Nguyen, OpenAI
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Nathaniel Pinckney, NVIDIA
CfP: Workshop on Alternative Visual Domains for Detection, Tracking and Forecasting @ ICIAP2025
June 10th, 2025 Daniela Lopez de Luise Call for papers – Apologies for multiple posting
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AVD 2025 – Alternative Visual Domains for Detection, Tracking and Forecasting – @ICIAP 2025
Held in conjunction with the 23nd International Conference on Image Analysis and Processing (ICIAP) – September 15-16, 2025, Rome (Italy)
https://sites.google.com/view/avd2025
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The perception and understanding of dynamic environments rely heavily on visual data, which has traditionally been captured using RGB cameras. However, alternative visual domains-such as thermal imaging, event-based cameras, LiDAR, hyperspectral sensors, and radar-offer new opportunities and challenges in detection, tracking, and forecasting tasks. These unconventional modalities provide valuable advantages in scenarios where standard RGB-based approaches struggle, such as low-light conditions, adverse weather, and high-speed motion analysis.
The complexity and diversity of these data sources require the development of specialized processing techniques, often involving novel Deep Learning methodologies. Event-based cameras, for instance, capture asynchronous intensity changes at a microsecond scale, enabling ultra-low-latency motion tracking. Thermal imaging can enhance pedestrian detection in nighttime conditions, while LiDAR and radar enable accurate distance estimation for autonomous systems. Additionally, hyperspectral imaging can extract material properties beyond what standard cameras perceive, contributing to applications in medical diagnostics, agriculture, and security.
Despite their advantages, alternative visual sensors introduce unique challenges, including domain adaptation, sensor fusion, and real-time processing constraints. As industries increasingly integrate these technologies into safety-critical applications – such as autonomous driving, industrial inspection, and environmental monitoring-there is a growing demand for efficient and robust models capable of handling multi-modal data streams.
This workshop aims to foster collaboration between researchers and industry practitioners, encouraging the exchange of ideas on novel sensing modalities, algorithmic advancements, and real-world applications. Furthermore, the ethical and privacy implications of these alternative visual domains will be explored, addressing concerns related to surveillance, biometric recognition, and data security.
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TOPICS
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Human and Object Perception
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Multi-Sensor People Detection and Tracking
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2D/3D Pose Estimation from Alternative Modalities (e.g., Thermal, LiDAR, Event Cameras)
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Gait Analysis and Re-identification in Non-RGB Domains
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Action and Gesture Recognition with Event-based and Depth Sensors
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Anthropometric Measurements from Multi-Spectral and Depth Data
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3D Body Reconstruction from LiDAR and Infrared
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First-Person Vision Using Event Cameras and/or Thermal Sensors
Face and Head Analysis
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Facial Landmarks and Head Pose Estimation in Thermal and Near-Infrared Images
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Facial Expression and Emotion Recognition Beyond RGB
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Identity Recognition with Multi-Spectral and Hyperspectral Imaging
Object and Scene Understanding
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Thermal and Radar-based Object and Person Detection
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LiDAR and Event-Based Tracking in Dynamic Environments
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Scene Parsing and Semantic Segmentation from Non-Visible Spectrum Sensors
Multi-Modal Perception and Synthesis
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Sensor Fusion for Detection, Tracking, and Forecasting
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Multi-Spectral and Event-based Image and Video Synthesis
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Generative Models for Data Enhancement in Alternative Domains
Privacy, Fairness, and Computational Challenges
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Novel Datasets Leveraging Alternative Visual Domains
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Bias and Fairness in Non-RGB Perception Systems
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Privacy-Preserving Approaches for Multi-Sensor Data
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Real-Time and Embedded Processing for Alternative Visual Sensors
Biometric and Security Applications
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Face and Gait Recognition in Non-RGB Modalities
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Fingerprint and Iris Recognition with Infrared and Multi-Spectral Imaging
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Spoofing and Attack Detection in Thermal and Depth-Based Biometrics
Fast Moving Objects Detection and Tracking
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Motion Blur Reduction in High-Velocity Scenarios Using Alternative Modalities
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Real-Time Tracking of Fast-Moving Objects in Low-Light and Adverse Conditions
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Multi-Sensor Fusion for High-Speed Object Perception
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Ultra-Low Latency Tracking with Event Cameras and Radar
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Domain Adaptation for Fast-Moving Object Recognition Across Modalities
Autonomous Driving Perception and Forecasting
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Scenario-based Motion Forecasting
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3D Scene Understanding and Semantic Segmentation
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Event and LiDAR-Based Object Detection and Tracking
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Optical Flow and Depth Estimation for Ego-Motion Perception
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Ultra-Low Latency Sensor Processing for Real-Time Decision Making
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IMPORTANT DATES
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Paper Submission Deadline: 20/06/2025
Decision to Authors: 04/07/2025
Camera ready papers due: 08/07/2025
Workshop date: September 15-16
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SUBMISSION GUIDELINES
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All the papers should be submitted at: https://cmt3.research.microsoft.com/AVD2025
The maximum number of pages is 12 pages including references. While preparing their contributions,
authors must follow guidelines and technical instructions provided by Springer that can be found at:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Papers will be selected through a double-blind review process, taking into account originality,
significance, clarity, soundness, relevance and technical contents.
Each accepted paper must be covered by at least one registered author.
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WORKSHOP MODALITY
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The workshop will be held in conjunction with the International Conference on Image Analysis and Processing (ICIAP 2025).
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ORGANIZING COMMITTEE
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Federico Becattini, University of Siena, Italy – federico.becattini@unisi.it
Francesco Marchetti, University of Florence, Italy – francesco.marchetti@unifi.it
Lorenzo Berlincioni, University of Florence, Italy – lorenzo.berlincioni@unifi.it
Gabriele Magrini, University of Florence, Italy – gabriele.magrini@unifi.it
3rd CFP: 15th Italian Information Retrieval Workshop (IIR 2025)
June 10th, 2025 Daniela Lopez de Luise # IMPORTANT DATES #
– Notification of acceptance: July 24, 2025
The purpose of the Italian Information Retrieval Workshop (IIR) is to provide a meeting forum for stimulating and disseminating research in Information Retrieval, where Italian researchers (especially young ones) and researchers affiliated with Italian institutions can network and discuss their research results in an informal way.
# WORKSHOP TOPICS #
IIR 2025 offers the opportunity to present and discuss both theoretical and empirical research. Relevant topics include, but are not restricted to:
**Search and Ranking**
Research on core Information Retrieval (IR), including IR at scale, covering topics such as:
– Theoretical models and foundations of IR and access
– Retrieval and ranking models, including diversity and aggregated search
– Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search
– Cross- and multi-lingual search
– Queries and query analysis
**Recommendation**
Research focusing on Information Filtering and Recommender Systems (RS), covering topics such as:
– Information Filtering and Recommendation, including Collaborative Filtering, Content-based Filtering, Hybrid Recommender Systems, Context-aware Recommendation
– Deep Learning in RecSys, Scalability and Efficiency, Evaluation Metrics and Methodologies, User Interfaces and Visualization
– Privacy, Security, and Ethics, Domain-specific Recommendations, Social and Trust-based Recommendations, Explainable and Interpretable Recommendations, Sustainable Recommender Systems
**Content Representation and Analysis**
Research focusing on rich content representations and analysis, covering topics such as:
– Document representation, including multimodal representation
– Content analysis and information extraction, including readability, sentiment analysis, and opinion mining
– Clustering, classification, summarization, and topic modeling
**Artificial Intelligence, NLP, Semantics, and Dialog**
Research bridging AI and IR –, especially toward deep semantics — and dialog with intelligent agents, covering topics such as:
– Question Answering
– Conversational systems, including spoken language interfaces, dialog management systems, and intelligent chat systems
– Semantics and knowledge graphs
– Deep learning for IR, embeddings, Large Language Models, and agents
**Domain-Specific Applications**
Research focusing on domain-specific challenges, covering topics such as:
– Social search
– Search in structured data, including email and entity search
– Multimedia search
– Music information retrieval and related domains
– Applications addressing {mis-, dis-}information, such as fact-checking, credible information retrieval, and responsible recommender systems
– Search and recommendation for Educational, Legal, Health – including genomics and bioinformatics – and Academic domains
– Other domains such as digital libraries, enterprise, news, app, and archival search
**Human Factors and Interfaces**
Research into user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, covering topics such as:
– Mining and modeling search activity, including user and task models, click models, log analysis, behavioral analysis, and attention modeling
– Interactive and personalized search and recommendation
– Collaborative search, social tagging, and crowdsourcing
– Information privacy and security
– Data and information quality
**Evaluation**
Research that focuses on the measurement and evaluation of IR and Recommender Systems, covering topics such as:
– User-centered evaluation methods, including measures of user experience and performance, user engagement, and search task design
– Test collections and evaluation metrics, including the development of new test collections
– Evaluation of novel information access tasks and systems such as multi-turn information access
– Statistical methods and reproducibility issues in information retrieval evaluation
– Efficiency and scalability
**Future Directions**
Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, covering topics such as:
– Novel approaches to IR and RS
– Ethics, economics, and politics
– Applications of search and recommendation to social good
– IR and RS with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles
# SUBMISSIONS #
We particularly encourage doctoral students or early-stage researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the IR community.
Authors are invited to submit one of the following types of contributions:
– Full papers (10 pages, plus unlimited pages for references)
– Short papers (5 pages, plus unlimited pages for references)
– Extended abstracts containing descriptions of ongoing projects or presenting already published results (up to 4 pages, plus unlimited pages for references). If presenting already published results the extended abstract should contain a reference to the original published paper.
Submissions of research papers must be in English, single blind, in PDF format in the CEUR-WS single-column conference format available either at Overleaf website or CEUR-WS repository (for the offline version):
– Overleaf template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
– CEUR.WS repository (offline version): https://ceur-ws.org/Vol-XXX/CEURART.zip
Submission will be peer-reviewed and single-blind. The authors of the accepted papers will have the possibility to decide whether the paper will appear or not in the CEUR Workshop Series Proceedings.