activity
20222026
most citedResidual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection

Tian Qiu, Jifeng Shen, Xin Zuo

Effective cross-modal feature alignment and interaction are central challenges in multispectral object detection. Although global cross-attention provides strong long-range modelin…

cs.CV2023

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Lin Chen, Zhijie Jia, Tian Qiu +4

A surge of interest has emerged in utilizing Transformers in diverse vision tasks owing to its formidable performance. However, existing approaches primarily focus on optimizing in…

cs.CV2023

Team DETR: Guide Queries as a Professional Team in Detection Transformers

Tian Qiu, Linyun Zhou, Wenxiang Xu +3

Recent proposed DETR variants have made tremendous progress in various scenarios due to their streamlined processes and remarkable performance. However, the learned queries usually…

eess.IV2022★ 1 cited

Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging

Yubo Dong, Dahua Gao, Tian Qiu +3

To acquire a snapshot spectral image, coded aperture snapshot spectral imaging (CASSI) is proposed. A core problem of the CASSI system is to recover the reliable and fine underlyin…

cs.CV2022

Comparison Knowledge Translation for Generalizable Image Classification

Zunlei Feng, Tian Qiu, Sai Wu +4

Deep learning has recently achieved remarkable performance in image classification tasks, which depends heavily on massive annotation. However, the classification mechanism of exis…