2 papers
cs.CV2025
Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360-Degree Videos
Mert Cokelek, Halit Ozsoy, Nevrez Imamoglu +4
Omnidirectional videos (ODVs) are redefining viewer experiences in virtual reality (VR) by offering an unprecedented full field-of-view (FOV). This study extends the domain of sali…
cs.CV2023
Spherical Vision Transformer for 360-degree Video Saliency Prediction
Mert Cokelek, Nevrez Imamoglu, Cagri Ozcinar +2
The growing interest in omnidirectional videos (ODVs) that capture the full field-of-view (FOV) has gained 360-degree saliency prediction importance in computer vision. However, pr…