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20232026
most citedFovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks

4 citations · 10 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.HC2024★ 1 cited

Simultaneous Control of Human Hand Joint Positions and Grip Force via HD-EMG and Deep Learning

Farnaz Rahimi, Mohammad Ali Badamchizadeh, Raul C. Sîmpetru +3

In myoelectric control, simultaneous control of multiple degrees of freedom can be challenging due to the dexterity of the human hand. Numerous studies have focused on hand functio…

cs.CV2024

Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision

Dario Zanca, Andrea Zugarini, Simon Dietz +4

Understanding human attention is crucial for vision science and AI. While many models exist for free-viewing, less is known about task-driven image exploration. To address this, we…

cs.CV2024★ 4 cited

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks

Mahadev Prasad Panda, Matteo Tiezzi, Martina Vilas +3

Explainability in artificial intelligence (XAI) remains a crucial aspect for fostering trust and understanding in machine learning models. Current visual explanation techniques, su…

cs.CV2024★ 1 cited

Exploring Facial Biomarkers for Detecting Depression through Temporal Analysis of Action Units

Aditya Parikh, Misha Sadeghi, Robert Richer +9

Depression is characterized by persistent sadness and loss of interest, significantly impairing daily functioning and now a widespread mental disorder. Traditional diagnostic metho…

cs.AI2024

Are LLMs Good Cryptic Crossword Solvers?

Abdelrahman Sadallah, Daria Kotova, Ekaterina Kochmar

Cryptic crosswords are puzzles that rely not only on general knowledge but also on the solver's ability to manipulate language on different levels and deal with various types of wo…