AVD 2025 - Alternative Visual Domains for Detection, Tracking and Forecasting Call for Papers

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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

    Multi-Sensor People Detection and Tracking

    2D/3D Pose Estimation from Alternative Modalities (e.g., Thermal, LiDAR, Event Cameras)

    Gait Analysis and Re-identification in Non-RGB Domains

    Action and Gesture Recognition with Event-based and Depth Sensors

    Anthropometric Measurements from Multi-Spectral and Depth Data

    3D Body Reconstruction from LiDAR and Infrared

    First-Person Vision Using Event Cameras and/or Thermal Sensors

Face and Head Analysis

    Facial Landmarks and Head Pose Estimation in Thermal and Near-Infrared Images

    Facial Expression and Emotion Recognition Beyond RGB

    Identity Recognition with Multi-Spectral and Hyperspectral Imaging

Object and Scene Understanding

    Thermal and Radar-based Object and Person Detection

    LiDAR and Event-Based Tracking in Dynamic Environments

    Scene Parsing and Semantic Segmentation from Non-Visible Spectrum Sensors

Multi-Modal Perception and Synthesis

    Sensor Fusion for Detection, Tracking, and Forecasting

    Multi-Spectral and Event-based Image and Video Synthesis

    Generative Models for Data Enhancement in Alternative Domains

Privacy, Fairness, and Computational Challenges

    Novel Datasets Leveraging Alternative Visual Domains

    Bias and Fairness in Non-RGB Perception Systems

    Privacy-Preserving Approaches for Multi-Sensor Data

    Real-Time and Embedded Processing for Alternative Visual Sensors

Biometric and Security Applications

    Face and Gait Recognition in Non-RGB Modalities

    Fingerprint and Iris Recognition with Infrared and Multi-Spectral Imaging

    Spoofing and Attack Detection in Thermal and Depth-Based Biometrics

Fast Moving Objects Detection and Tracking

    Motion Blur Reduction in High-Velocity Scenarios Using Alternative Modalities

    Real-Time Tracking of Fast-Moving Objects in Low-Light and Adverse Conditions

    Multi-Sensor Fusion for High-Speed Object Perception

    Ultra-Low Latency Tracking with Event Cameras and Radar

    Domain Adaptation for Fast-Moving Object Recognition Across Modalities

Autonomous Driving Perception and Forecasting

    Scenario-based Motion Forecasting

    3D Scene Understanding and Semantic Segmentation

    Event and LiDAR-Based Object Detection and Tracking

    Optical Flow and Depth Estimation for Ego-Motion Perception

    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