13 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
MObyGaze: a film dataset of multimodal objectification densely annotated by experts
Elisa Ancarani, Julie Tores, Lucile Sassatelli +11
Characterizing and quantifying gender representation disparities in audiovisual storytelling contents is necessary to grasp how stereotypes may perpetuate on screen. In this articl…
Leveraging multimodal explanatory annotations for video interpretation with Modality Specific Dataset
Elisa Ancarani, Julie Tores, Lucile Sassatelli +3
We examine the impact of concept-informed supervision on multimodal video interpretation models using MOByGaze, a dataset containing human-annotated explanatory concepts. We introd…
Visual Objectification in Films: Towards a New AI Task for Video Interpretation
Julie Tores, Lucile Sassatelli, Hui-Yin Wu +8
In film gender studies, the concept of 'male gaze' refers to the way the characters are portrayed on-screen as objects of desire rather than subjects. In this article, we introduce…
Revisiting Deep Architectures for Head Motion Prediction in 360° Videos
Miguel Fabian Romero Rondon, Lucile Sassatelli, Ramon Aparicio Pardo +1
We consider predicting the user's head motion in 360-degree videos, with 2 modalities only: the past user's positions and the video content (not knowing other users' traces). We ma…