Transformers have recently emerged as a powerful tool for learning visual representations.
In this paper, we identify and characterize artifacts in feature maps of both supervised and …

We present DenseAV a novel dual encoder grounding architecture that learns high-
resolution semantically meaningful and audio-visual aligned features solely through …

How important is it for training and evaluation sets to not have class overlap in image
retrieval? We revisit Google Landmarks v2 clean the most popular training set by identifying …

In large-scale image retrieval, the primary goal is to extract discriminative features and
embed them into global image representations. Previous methods based on CNNs …

Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can
deepen the understanding of the scene, and domain adaptation can transfer across viewing …

Sound event localization and detection systems can provide intelligent sound processing
and analysis functions for various application devices. However, existing deep learning …