most citedSemantically Guided Representation Learning For Action Anticipation

6 citations · 13 across the 7 of their papers we have counts for

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cs.CV2024

Semantically Guided Action Anticipation

Anxhelo Diko, Antonino Furnari, Luigi Cinque +1

Unsupervised domain adaptation remains a critical challenge in enabling the knowledge transfer of models across unseen domains. Existing methods struggle to balance the need for do…

cs.CV2024

ReWind: Understanding Long Videos with Instructed Learnable Memory

Anxhelo Diko, Tinghuai Wang, Wassim Swaileh +2

Vision-Language Models (VLMs) are crucial for applications requiring integrated understanding textual and visual information. However, existing VLMs struggle with long videos due t…

cs.CV2024★ 6 cited

Semantically Guided Representation Learning For Action Anticipation

Anxhelo Diko, Danilo Avola, Bardh Prenkaj +2

Action anticipation is the task of forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the d…

cs.CV2024★ 2 cited

Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks

Lanzino Romeo, Fontana Federico, Diko Anxhelo +2

Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models, the need f…

cs.CV2024★ 4 cited

ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections

Anxhelo Diko, Danilo Avola, Marco Cascio +1

Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such feat…