14 citations · 18 across the 13 of their papers we have counts for
5 papers · 1 filter
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking
Chuanming Tang, Kai Wang, Joost van de Weijer +2
Visual object tracking is a fundamental component of transportation systems, especially for intelligent driving. Despite achieving state-of-the-art performance in visual tracking,…
IterInv: Iterative Inversion for Pixel-Level T2I Models
Chuanming Tang, Kai Wang, Joost van de Weijer
Large-scale text-to-image diffusion models have been a ground-breaking development in generating convincing images following an input text prompt. The goal of image editing researc…
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Kai Wang, Fei Yang, Shiqi Yang +2
Large-scale text-to-image generative models have been a ground-breaking development in generative AI, with diffusion models showing their astounding ability to synthesize convincin…
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang +1
Continuous unsupervised representation learning (CURL) research has greatly benefited from improvements in self-supervised learning (SSL) techniques. As a result, existing CURL met…
ScrollNet: Dynamic Weight Importance for Continual Learning
Fei Yang, Kai Wang, Joost van de Weijer
The principle underlying most existing continual learning (CL) methods is to prioritize stability by penalizing changes in parameters crucial to old tasks, while allowing for plast…