3 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Deep Progressive Feature Aggregation Network for High Dynamic Range Imaging
Jun Xiao, Qian Ye, Tianshan Liu +2
High dynamic range (HDR) imaging is an important task in image processing that aims to generate well-exposed images in scenes with varying illumination. Although existing multi-exp…
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation
Qian Ye, Masanori Suganuma, Takayuki Okatani
In this paper, we consider the problem in defocus image deblurring. Previous classical methods follow two-steps approaches, i.e., first defocus map estimation and then the non-blin…
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
Qian Ye, Masanori Suganuma, Jun Xiao +1
Reconstructing ghosting-free high dynamic range (HDR) images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion and oc…
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection
Qian Ye, Ling Jiang, Wang Zhen +1
Low-cost autonomous agents including autonomous driving vehicles chiefly adopt monocular 3D object detection to perceive surrounding environment. This paper studies 3D intermediate…
Progressive and Selective Fusion Network for High Dynamic Range Imaging
Qian Ye, Jun Xiao, Kin-man Lam +1
This paper considers the problem of generating an HDR image of a scene from its LDR images. Recent studies employ deep learning and solve the problem in an end-to-end fashion, lead…