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20212026
most citedCal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

17 citations · 31 across the 18 of their papers we have counts for

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cs.CV2026

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression

Bowen Yuan, Zijian Wang, Yadan Luo +2

Large vision-language models (LVLMs) exhibit strong reasoning ability but suffer from visual forgetting during long-horizon decoding, where attention progressively drifts away from…

cs.CV2026

Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data

Shijie Wang, Zijian Wang, Yadan Luo +3

Ultra-fine-grained visual categorization (Ultra-FGVC) aims to classify highly similar subcategories within fine-grained objects using limited training samples. However, holistic ye…

cs.CV2026

Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data

Shijie Wang, Yadan Luo, Zijian Wang +3

This paper investigates the intrinsic geometrical features of highly similar objects and introduces a general self-supervised framework called the Geometric Attribute Exploration N…

cs.CV2025

Language-driven Fine-grained Retrieval

Shijie Wang, Xin Yu, Yadan Luo +3

Existing fine-grained image retrieval (FGIR) methods learn discriminative embeddings by adopting semantically sparse one-hot labels derived from category names as supervision. Whil…

cs.CV2025

Distributed Zero-Shot Learning for Visual Recognition

Zhi Chen, Yadan Luo, Zi Huang +3

In this paper, we propose a Distributed Zero-Shot Learning (DistZSL) framework that can fully exploit decentralized data to learn an effective model for unseen classes. Considering…

cs.CV2025

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

Hossein Askari, Yadan Luo, Hongfu Sun +1

Recent advances in inverse problem solving have increasingly adopted flow priors over diffusion models due to their ability to construct straight probability paths from noise to da…