activity
20172026
most citedUnderwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

1k citations · 3.1k across the 45 of their papers we have counts for

collaborators

48 papers

cs.CV2026

Decoupling Spherical Reasoning from Dense Prediction for 360 Depth Estimation

Zhijie Shen, Chunyu Lin, Shuai Zheng +4

The equirectangular projection (ERP) is widely used for panoramic depth estimation, but its spatially varying distortion makes geometry-consistent feature modeling challenging. We…

cs.CV2026

IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance

Gongyang Li, Zhen Bai, Runmin Cong +3

Existing Salient Object Detection in Optical Remote Sensing Image (ORSI-SOD) methods mainly adopt the static inference strategy, which uses fixed trained model parameters for salie…

cs.CV2026

Rethinking Conditional Generation for Underwater Salient Object Detection

Hua Li, Yongjie Weng, Yutong Li +3

Salient Object Detection in underwater images remains challenging due to low contrast, uneven illumination, and color distortion caused by scattering and absorption effects, which…

cs.CV2025★ 1 cited

Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Images

Mengyu Ren, Yutong Li, Hua Li +2

Salient object detection (SOD) in optical remote sensing images (ORSIs) faces numerous challenges, including significant variations in target scales and low contrast between target…

cs.CV2024

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution

Feng Li, Yixuan Wu, Zichao Liang +4

Diffusion models (DM) have achieved remarkable promise in image super-resolution (SR). However, most of them are tailored to solving non-blind inverse problems with fixed known deg…

cs.CV2024

Learning Hierarchical Color Guidance for Depth Map Super-Resolution

Runmin Cong, Ronghui Sheng, Hao Wu +5

Color information is the most commonly used prior knowledge for depth map super-resolution (DSR), which can provide high-frequency boundary guidance for detail restoration. However…