5 papers · 1 filter
What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment Reconstruction
Loc-Phat Truong, Meysam Madadi, Sergio Escalera
Virtual Try-On (VTON) has seen rapid advancements, providing a strong foundation for generative fashion tasks. However, the inverse problem, Virtual Try-Off (VTOFF)-aimed at recons…
Beyond Caption-Based Queries for Video Moment Retrieval
David Pujol-Perich, Albert Clapés, Dima Damen +2
In this work, we investigate the degradation of existing VMR methods, particularly of DETR architectures, when trained on caption-based queries but evaluated on search queries. For…
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
Sofia Casarin, Sergio Escalera, Oswald Lanz
Training-free Neural Architecture Search (NAS) efficiently identifies high-performing neural networks using zero-cost (ZC) proxies. Unlike multi-shot and one-shot NAS approaches, Z…
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts
Sofia Casarin, Oswald Lanz, Sergio Escalera
Neural Architecture Search (NAS) methods have shown to output networks that largely outperform human-designed networks. However, conventional NAS methods have mostly tackled the si…
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
Sofia Casarin, Cynthia I. Ugwu, Sergio Escalera +1
The landscape of deep learning research is moving towards innovative strategies to harness the true potential of data. Traditionally, emphasis has been on scaling model architectur…