activity
20242026
most citedCross-Domain Feature Augmentation for Domain Generalization

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

Chendong Xiang, Jiajun Liu, Jintao Zhang +7

Predictive world models that simulate future observations under explicit camera control are fundamental to interactive AI. Despite rapid advances, current systems lack spatial pers…

cs.CL2026★ 2 cited

Kimi K2.5: Visual Agentic Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +333

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…

cs.LG2025

Improve Representation for Imbalanced Regression through Geometric Constraints

Zijian Dong, Yilei Wu, Chongyao Chen +3

In representation learning, uniformity refers to the uniform feature distribution in the latent space (i.e., unit hypersphere). Previous work has shown that improving uniformity co…

cs.CV2024★ 7 cited

Cross-Domain Feature Augmentation for Domain Generalization

Yingnan Liu, Yingtian Zou, Rui Qiao +3

Domain generalization aims to develop models that are robust to distribution shifts. Existing methods focus on learning invariance across domains to enhance model robustness, and d…

cs.LG2024

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness

Yingtian Zou, Kenji Kawaguchi, Yingnan Liu +3

Generalizing to out-of-distribution (OOD) data or unseen domain, termed OOD generalization, still lacks appropriate theoretical guarantees. Canonical OOD bounds focus on different…