no code implementations • 4 Aug 2022 • Jun Xiao, Qian Ye, Tianshan Liu, Cong Zhang, Kin-Man Lam
The primary challenges are ghosting artifacts caused by object motion between low dynamic range images and distorted content in under and overexposed regions.
no code implementations • 16 Jul 2022 • Qian Ye, Ling Jiang, Wang Zhen, Yuyang Du
This paper studies 3D intermediate representation methods which generate intermediate 3D features for subsequent tasks.
Ranked #1 on Monocular 3D Object Detection on KITTI Cars Moderate (using extra training data)
no code implementations • 7 Jul 2022 • Qian Ye, Masanori Suganuma, Takayuki Okatani
Considering the spatial variant property of the defocus blur and the blur level indicated in the defocus map, we employ the defocus map as conditional guidance to adjust the features from the input blurring images instead of simple concatenation.
no code implementations • 6 Jul 2022 • Qian Ye, Masanori Suganuma, Jun Xiao, Takayuki Okatani
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 occlusions, leading to visible artifacts using existing methods.
no code implementations • SemEval (NAACL) 2022 • Weichao Gan, Yuanping Lin, Guangbo Yu, Guimin Chen, Qian Ye
This paper describes our system, which placed third in the Multilingual Track (subtask 11), fourth in the Code-Mixed Track (subtask 12), and seventh in the Chinese Track (subtask 9) in the SemEval 2022 Task 11: MultiCoNER Multilingual Complex Named Entity Recognition.
1 code implementation • 19 Aug 2021 • Qian Ye, Jun Xiao, Kin-Man Lam, Takayuki Okatani
We propose a novel method that can better fuse the features based on two ideas.
no code implementations • 1 Aug 2020 • Qian Ye, Xiaohong Chen, Onur Kalan, Kaan Ozbay
This study explores how people view and respond to the proposals of NYC congestion pricing evolve in time.