24 citations · 67 across the 30 of their papers we have counts for
6 papers · 1 filter
Monocular Human-Object Reconstruction in the Wild
Chaofan Huo, Ye Shi, Jingya Wang
Learning the prior knowledge of the 3D human-object spatial relation is crucial for reconstructing human-object interaction from images and understanding how humans interact with o…
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Chaofan Huo, Ye Shi, Yuexin Ma +3
Modeling and capturing the 3D spatial arrangement of the human and the object is the key to perceiving 3D human-object interaction from monocular images. In this work, we propose t…
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang +1
Federated Prompt Learning (FPL) incorporates large pre-trained Vision-Language models (VLM) into federated learning through prompt tuning. The transferable representations and rema…
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li, Wei Huang, Jingya Wang +1
Prompt learning in pretrained visual-language models has shown remarkable flexibility across various downstream tasks. Leveraging its inherent lightweight nature, recent research a…
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li, Ye Shi, Qian Yu +1
Unsupervised cross-domain image retrieval (UCIR) aims to retrieve images sharing the same category across diverse domains without relying on labeled data. Prior approaches have typ…
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
Lingxiao Yang, Shutong Ding, Yifan Cai +3
Recent advances in diffusion models attempt to handle conditional generative tasks by utilizing a differentiable loss function for guidance without the need for additional training…