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Jinze Yu

5 accepted papers

2026

DehazeGS: Seeing Through Fog with 3D Gaussian Splatting

AAAI 2026technical

Current novel view synthesis methods are typically designed for high-quality and clean input images. However, in foggy scenes, scattering and attenuation can significantly degrade the quality of rendering. Although NeRF-based dehazing approaches have been developed, their reliance on deep fully conn

Cited by 0SourcePDFScholar
2026

Towards High-resolution and Disentangled Reference-based Sketch Colorization

CVPR 2026

Sketch colorization models have been widely studied to automate and assist in the creation of animation frames and digital illustrations. However, current methods are still not satisfactory for industrial standard applications in high-resolution synthesis and precise controllability of details. To f

Cited by 0SourcecodeScholar
2026

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

ICLR 2026poster

Ultrasound is a widely-used imaging modality critical to global healthcare, yet its interpretation remains challenging due to its varying image quality on operators, noises, and anatomical structures. Although large vision-language models (LVLMs) have demonstrated impressive multimodal capabilities…

Cited by 0SourceScholar
2022

MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer

ECCV 2022poster

"Recently, DEtection TRansformer (DETR), an end-to-end object detection pipeline, has achieved promising performance. However, it requires large-scale labeled data and suffers from domain shift, especially when no labeled data is available in the target domain. To solve this problem, we propose an e…