no code implementations • 8 Feb 2024 • Blagoj Mitrevski, Arina Rak, Julian Schnitzler, Chengkun Li, Andrii Maksai, Jesse Berent, Claudiu Musat
Our work, InkSight, aims to bridge the gap by empowering physical note-takers to effortlessly convert their work (offline handwriting) to digital ink (online handwriting), a process we refer to as Derendering.
1 code implementation • 16 Mar 2023 • Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference for black-box computational models (Acerbi, 2018, 2020).
no code implementations • 12 Mar 2023 • Saqib Javed, Chengkun Li, Andrew Price, Yinlin Hu, Mathieu Salzmann
Edge applications, such as collaborative robotics and spacecraft rendezvous, demand efficient 6D object pose estimation on resource-constrained embedded platforms.
no code implementations • 9 Mar 2023 • Chengkun Li, Grégoire Clarté, Luigi Acerbi
First, we make VBMC scalable to a large number of pre-existing evaluations via sparse GP regression, deriving novel Bayesian quadrature formulae and acquisition functions for active learning with sparse GPs.
1 code implementation • 14 Aug 2022 • Jozef Marus Coldenhoff, Chengkun Li, Yurui Zhu
Sharpness-Aware Minimization (SAM) and adaptive sharpness-aware minimization (ASAM) aim to improve the model generalization.
no code implementations • 9 Apr 2022 • Yonghao Long, Chengkun Li, Qi Dou
In this paper, we propose a novel AR-based robotic surgery remote mentoring system with efficient 3D scene visualization and natural 3D hand interaction.
no code implementations • 21 Nov 2021 • Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
Pixel-level 2D object semantic understanding is an important topic in computer vision and could help machine deeply understand objects (e. g. functionality and affordance) in our daily life.
1 code implementation • CVPR 2022 • Yang You, Zelin Ye, Yujing Lou, Chengkun Li, Yong-Lu Li, Lizhuang Ma, Weiming Wang, Cewu Lu
In the work, we disentangle the direct offset into Local Canonical Coordinates (LCC), box scales and box orientations.
no code implementations • 8 Jun 2020 • Biao Gao, Yancheng Pan, Chengkun Li, Sibo Geng, Huijing Zhao
Finally, a systematic survey to the existing efforts to solve the data hunger problem is conducted on both methodological and dataset's viewpoints, followed by an insightful discussion of remaining problems and open questions To the best of our knowledge, this is the first work to analyze the data hunger problem for 3D semantic segmentation using deep learning techniques that are addressed in the literature review, statistical analysis, and cross-dataset and cross-algorithm experiments.
1 code implementation • 20 Apr 2020 • Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Lizhuang Ma, Cewu Lu, Weiming Wang
Visual semantic correspondence is an important topic in computer vision and could help machine understand objects in our daily life.
1 code implementation • CVPR 2020 • Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
Detecting 3D objects keypoints is of great interest to the areas of both graphics and computer vision.
no code implementations • 21 Feb 2020 • Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao
3D semantic segmentation is one of the key tasks for autonomous driving system.
1 code implementation • ECCV 2020 • Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
Semantic understanding of 3D objects is crucial in many applications such as object manipulation.
6 code implementations • 4 Dec 2018 • Zelin Zhao, Gao Peng, Haoyu Wang, Hao-Shu Fang, Chengkun Li, Cewu Lu
In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image.
Ranked #17 on 6D Pose Estimation using RGB on LineMOD