Search Results for author: Bahar Aydemir

Found 3 papers, 3 papers with code

TempSAL -- Uncovering Temporal Information for Deep Saliency Prediction

1 code implementation5 Jan 2023 Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Deep saliency prediction algorithms complement the object recognition features, they typically rely on additional information, such as scene context, semantic relationships, gaze direction, and object dissimilarity.

Object Object Recognition +1

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction

1 code implementation CVPR 2023 Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Deep saliency prediction algorithms complement the object recognition features, they typically rely on additional information such as scene context, semantic relationships, gaze direction, and object dissimilarity.

Object Object Recognition +1

Modeling Object Dissimilarity for Deep Saliency Prediction

1 code implementation8 Apr 2021 Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk

Saliency prediction has made great strides over the past two decades, with current techniques modeling low-level information, such as color, intensity and size contrasts, and high-level ones, such as attention and gaze direction for entire objects.

Object Saliency Prediction

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