activity
20172026
most citedExploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

103 citations · 222 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 6 cited

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference

Senmao Li, Taihang Hu, Joost van de Weijer +7

One of the main drawback of diffusion models is the slow inference time for image generation. Among the most successful approaches to addressing this problem are distillation metho…

cs.CV2023

MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing

Kangneng Zhou, Daiheng Gao, Xuan Wang +9

3D-aware portrait editing has a wide range of applications in multiple fields. However, current approaches are limited due that they can only perform mask-guided or text-based edit…

cs.CV2023★ 14 cited

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…

cs.CV2023

Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering

Shiqi Yang, Yaxing Wang, Joost van de Weijer +3

Domain adaptation (DA) aims to alleviate the domain shift between source domain and target domain. Most DA methods require access to the source data, but often that is not possible…

cs.CV2023

A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task

Shiqi Yang, Atsushi Hashimoto, Yoshitaka Ushiku

In recent years large model trained on huge amount of cross-modality data, which is usually be termed as foundation model, achieves conspicuous accomplishment in many fields, such…