178 citations · 277 across the 17 of their papers we have counts for
17 papers
Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers
Qi Jiang, Shaohua Gao, Yao Gao +5
High-quality panoramic images with a Field of View (FoV) of 360° are essential for contemporary panoramic computer vision tasks. However, conventional imaging systems come with sop…
Improving Fast Auto-Focus with Event Polarity
Yuhan Bao, Lei Sun, Yuqin Ma +2
Fast and accurate auto-focus in adverse conditions remains an arduous task. The emergence of event cameras has opened up new possibilities for addressing the challenge. This paper…
A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild
Lei Sun, Daniel Gehrig, Christos Sakaridis +7
Effective video frame interpolation hinges on the adept handling of motion in the input scene. Prior work acknowledges asynchronous event information for this, but often overlooks…
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang, Hao Shi, Shaohua Gao +5
Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and wearable applications remains a challenge due to the corrupted imaging quality induced by optical a…
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
Qi Jiang, Hao Shi, Lei Sun +3
Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic surrounding sensing tasks for mobile and wearable devices because of its tiny size and large Fi…
Efficient Human Pose Estimation via 3D Event Point Cloud
Jiaan Chen, Hao Shi, Yaozu Ye +3
Human Pose Estimation (HPE) based on RGB images has experienced a rapid development benefiting from deep learning. However, event-based HPE has not been fully studied, which remain…
Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization
Lei Sun
Geometric perception problems are fundamental tasks in robotics and computer vision. In real-world applications, they often encounter the inevitable issue of outliers, preventing t…
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
Lei Sun, Christos Sakaridis, Jingyun Liang +6
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure times. As a kind of bio-inspired camera, the event camera records the intensity changes in a…
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
Lei Sun
3D point cloud registration ranks among the most fundamental problems in remote sensing, photogrammetry, robotics and geometric computer vision. Due to the limited accuracy of 3D f…
TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios
Lei Sun, Lu Deng
Correspondence-based point cloud registration is a cornerstone in robotics perception and computer vision, which seeks to estimate the best rigid transformation aligning two point…
DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios
Lei Sun
Correspondence-based point cloud registration is a cornerstone in geometric computer vision, robotics perception, photogrammetry and remote sensing, which seeks to estimate the bes…
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
Lei Sun, Jia Wang, Kailun Yang +4
Aerial pixel-wise scene perception of the surrounding environment is an important task for UAVs (Unmanned Aerial Vehicles). Previous research works mainly adopt conventional pinhol…
ICOS: Efficient and Highly Robust Rotation Search and Point Cloud Registration with Correspondences
Lei Sun
Rotation search and point cloud registration are two fundamental problems in robotics and computer vision, which aim to estimate the rotation and the transformation between the 3D…
RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
Lei Sun
Correspondence-based rotation search and point cloud registration are two fundamental problems in robotics and computer vision. However, the presence of outliers, sometimes even oc…
IRON: Invariant-based Highly Robust Point Cloud Registration
Lei Sun
In this paper, we present IRON (Invariant-based global Robust estimation and OptimizatioN), a non-minimal and highly robust solution for point cloud registration with a great numbe…
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
Semantic segmentation has made striking progress due to the success of deep convolutional neural networks. Considering the demands of autonomous driving, real-time semantic segment…
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
Lei Sun, Kaiwei Wang, Kailun Yang +1
Currently, semantic segmentation shows remarkable efficiency and reliability in standard scenarios such as daytime scenes with favorable illumination conditions. However, in face o…