AI4media project

4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks

Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving

NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels

An Explainable Knowledge Graph-Based News Recommendation System

Cascaded Transformer-based Networks for Wikipedia Large-scale Image-Caption Matching

Argument-based Detection and Classification of Fallacies in Political Debates

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

On the Generalization of Deep Learning Models in Video Deepfake Detection

Multi-Input Architecture and Disentangled Representation Learning for Multi-Dimensional Modeling of Music Similarity

How reliable are posterior class probabilities in automatic music classification?

Rhythmic and Psycholinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation and Analysis

Binary quantification and dataset shift: an experimental investigation

Regularization-Based Methods for Ordinal Quantification

Deepfake detection by exploiting surface anomalies: the SurFake approach

Elastic feature consolidation for cold start examplar-free incremental learning

Induced Permutations for Approximate Metric Search

VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024

Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition

Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition

The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation

ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models

FLODCAST: Flow and depth forecasting via multimodal recurrent architectures

Scalable bio-inspired training of Deep Neural Networks with FastHebb

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning

InDistill: Information flow-preserving knowledge distillation for model compression

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