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20222026
most citedIllumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification

3 citations · 7 across the 10 of their papers we have counts for

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cs.CV2026

MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution

Jiaqi Guo, Mingzhen Li, Haohong Wang +1

We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across domains, genres, and segments. For example, images and videos may alter…

cs.CV2025

Vision-Language Enhanced Foundation Model for Semi-Supervised Medical Image Segmentation

Jiaqi Guo, Mingzhen Li, Hanyu Su +6

Semi-supervised learning (SSL) has emerged as an efficient paradigm for medical image segmentation, reducing the reliance on extensive expert annotations. Vision-language models (V…

cs.CV2025

RAU: Reference-based Anatomical Understanding with Vision Language Models

Yiwei Li, Yikang Liu, Jiaqi Guo +7

Anatomical understanding, which is the ability to identify, localize, or segment anatomical structures, is critical in medical image analysis; however, its progress is constrained…

cs.CV2025★ 1 cited

Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion

Jiaqi Guo, Santiago Lopez-Tapia, Aggelos K. Katsaggelos

Limited Angle Computed Tomography (LACT) often faces significant challenges due to missing angular information. Unlike previous methods that operate in the image domain, we propose…

cs.CV2024★ 1 cited

Training-Free Semantic Video Composition via Pre-trained Diffusion Model

Jiaqi Guo, Sitong Su, Junchen Zhu +2

The video composition task aims to integrate specified foregrounds and backgrounds from different videos into a harmonious composite. Current approaches, predominantly trained on v…

cs.CV2023

Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery

Enyu Cai, Jiaqi Guo, Changye Yang +1

The sorghum panicle is an important trait related to grain yield and plant development. Detecting and counting sorghum panicles can provide significant information for plant phenot…

cs.CV2022

High-Resolution UAV Image Generation for Sorghum Panicle Detection

Enyu Cai, Zhankun Luo, Sriram Baireddy +3

The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation. The use of Unmanned Aerial Vehicles (UAVs) en…