3 papers
cs.IR2026
Unlocking Spatial Grounding in Large Audio-Visual Retrieval models
Hugo Malard, Michel Olvera, Sanjeel Parekh +3
Weak supervision sets a practical regime for audio-visual sound source localization as dense spatial annotations are costly to obtain at scale. The task, however, remains challengi…
eess.AS2025
Melody-Lyrics Matching with Contrastive Alignment Loss
Changhong Wang, Michel Olvera, Gaël Richard
The connection between music and lyrics is far beyond semantic bonds. Conceptual pairs in the two modalities such as rhythm and rhyme, note duration and syllabic stress, and struct…
eess.AS2025
TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization
Hugo Malard, Michel Olvera, Stephane Lathuiliere +1
Large-scale pre-trained audio and image models demonstrate an unprecedented degree of generalization, making them suitable for a wide range of applications. Here, we tackle the spe…