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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)

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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: 27/06/2025

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:

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