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Found 7 papers, 3 papers with code
AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting
Recently, prompt-based methods have emerged as a new alternative `parameter-efficient fine-tuning' paradigm, which only fine-tunes a small number of additional parameters while keeping the original model frozen.
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People
How easy is it to sneak up on a robot?
View while Moving: Efficient Video Recognition in Long-untrimmed Videos
To this end, inspired by human cognition, we propose a novel recognition paradigm of "View while Moving" for efficient long-untrimmed video recognition.
Improving Social Media Popularity Prediction with Multiple Post Dependencies
Social Media Popularity Prediction has drawn a lot of attention because of its profound impact on many different applications, such as recommendation systems and multimedia advertising.
TriBERT: Human-centric Audio-visual Representation Learning
In this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible co-attention.
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
In this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible co-attention.
Mask-Guided Discovery of Semantic Manifolds in Generative Models
Advances in the realm of Generative Adversarial Networks (GANs) have led to architectures capable of producing amazingly realistic images such as StyleGAN2, which, when trained on the FFHQ dataset, generates images of human faces from random vectors in a lower-dimensional latent space.
