2 citations · 2 across the 3 of their papers we have counts for
4 papers
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh, Shervin Ardeshir, Lingyi Liu +2
The abundance and ease of utilizing sound, along with the fact that auditory clues reveal a plethora of information about what happens in a scene, make the audio-visual space an in…
Character-focused Video Thumbnail Retrieval
Shervin Ardeshir, Nagendra Kamath, Hossein Taghavi
We explore retrieving character-focused video frames as candidates for being video thumbnails. To evaluate each frame of the video based on the character(s) present in it, characte…
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows
Mahdi M. Kalayeh, Nagendra Kamath, Lingyi Liu +1
The abundance and ease of utilizing sound, along with the fact that auditory clues reveal so much about what happens in the scene, make the audio-visual space a perfectly intuitive…
Composition-Aware Image Aesthetics Assessment
Dong Liu, Rohit Puri, Nagendra Kamath +1
Automatic image aesthetics assessment is important for a wide variety of applications such as on-line photo suggestion, photo album management and image retrieval. Previous methods…