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20232025
most citedOn Linear Separation Capacity of Self-Supervised Representation Learning

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2025

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards

Shulei Wang, Longhui Wei, Xin He +4

Personalized generation models for a single subject have demonstrated remarkable effectiveness, highlighting their significant potential. However, when extended to multiple subject…

cs.CV2025

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal

Hanting Wang, Shengpeng Ji, Shulei Wang +4

Image restoration under adverse weather conditions has been extensively explored, leading to numerous high-performance methods. In particular, recent advances in All-in-One approac…

cs.CV2025

Open-set Cross Modal Generalization via Multimodal Unified Representation

Hai Huang, Yan Xia, Shulei Wang +6

This paper extends Cross Modal Generalization (CMG) to open-set environments by proposing the more challenging Open-set Cross Modal Generalization (OSCMG) task. This task evaluates…

cs.CV2025

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Hai Huang, Yan Xia, Sashuai Zhou +3

Domain Generalization (DG) aims to enhance model robustness in unseen or distributionally shifted target domains through training exclusively on source domains. Although existing D…

cs.CV2025

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Hanting Wang, Tao Jin, Wang Lin +4

Bridge models in image restoration construct a diffusion process from degraded to clear images. However, existing methods typically require training a bridge model from scratch for…