DrlNet: Blind object proposal quality assessment with discriminative response learning. - Qi Qi 008; Kunqian Li; Xinning Wang; Xin Luan; Dalei Song (Digit. Signal Process., 2020)

Underwater image enhancement with latent consistency learning-based color transfer. - Hua Yang; Fei Tian; Qi Qi 008; Q. M. Jonathan Wu; Kunqian Li (IET Image Process., 2022)

Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning. - Qi Qi 008; Yongchang Zhang; Fei Tian; Q. M. Jonathan Wu; Kunqian Li; Xin Luan; Dalei Song (IEEE Trans. Circuits Syst. Video Technol., 2022)

SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception. - Qi Qi 008; Kunqian Li; Haiyong Zheng; Xiang Gao 009; Guojia Hou; Kun Sun 002 (IEEE Trans. Image Process., 2022)

Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning. - Kunqian Li; Li Wu; Qi Qi 008; Wenjie Liu; Xiang Gao 009; Liqin Zhou 001; Dalei Song (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning Scribbles for Dense Depth: Weakly Supervised Single Underwater Image Depth Estimation Boosted by Multitask Learning. - Kunqian Li; Xiya Wang; Wenjie Liu; Qi Qi 008; Guojia Hou; Zhiguo Zhang; Kun Sun 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Underwater video consistent enhancement: a real-world dataset and solution with progressive quality learning. - Yongchang Zhang; Qi Qi 008; Kunqian Li; Dandan Liu (Multim. Tools Appl., 2024)

TCTL-Net: Template-Free Color Transfer Learning for Self-Attention Driven Underwater Image Enhancement. - Kunqian Li; Hongtao Fan; Qi Qi 008; Chi Yan; Kun Sun 002; Q. M. Jonathan Wu (IEEE Trans. Circuits Syst. Video Technol., 2024)