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Peng Yi

11 accepted papers

2024

Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM

RA-L 2024

The back-end module of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Distributed Collaborative Simultaneous Localization and Mapping</i> (DCSLAM) requires solving a nonlinear <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http:

Cited by 18SourceScholar
2024

Multi-Vehicle Trajectory Planning at V2I-Enabled Intersections Based on Correlated Equilibrium

RA-L 2024

Generating trajectories that ensure both vehicle safety and improve traffic efficiency remains a challenging task at intersections. Many existing works utilize Nash equilibrium (NE) for the trajectory planning at intersections. However, NE-based planning can hardly guarantee that all vehicles are in

Cited by 2SourceScholar
2023

Enhanced Affine Formation Maneuver Control Using Historical Velocity Command (HVC)

RA-L 2023

Recent studies on the network of multi-vehicle systems have shown that the system performance can be improved comprehensively by actively using historical information without changing the network connectivity. Motivated by this observation, we aim to improve the performance of affine formation maneu

Cited by 6SourceScholar
2022

DANet: Image Deraining via Dynamic Association Learning

IJCAI 2022poster

Rain streaks and background components in a rainy input are highly correlated, making the deraining task a composition of the rain streak removal and background restoration. However, the correlation of these two components is barely considered, leading to unsatisfied deraining results. To this end,…

Cited by 21SourcePDFScholar
2022

Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement

AAAI 2022technical

Low-light image enhancement aims to improve an image's visibility while keeping its visual naturalness. Different from existing methods, which tend to accomplish the relighting task directly, we investigate the intrinsic degradation and relight the low-light image while refining the details and colo…

2020

Attention-Guided Deraining Network Via Stage-Wise Learning

ICASSP 2020accepted

Due to diverse rain shapes, directions, densities as well as different distances to cameras, rain streaks in the air are interweaved and overlapped. However, most existing deraining methods are inherently oblivious this phenomenon and tend to learn a single rain streak layer to simulate this complex…

Cited by 0SourceScholar
2020

Multi-Scale Progressive Fusion Network for Single Image Deraining

CVPR 2020poster

Rain streaks in the air appear in various blurring degrees and resolutions due to different distances from their positions to the camera. Similar rain patterns are visible in a rain image as well as its multi-scale (or multi-resolution) versions, which makes it possible to exploit such complementary…

Cited by 844PDFcodeScholar
2020

Online Convex Optimization Over Erdos-Renyi Random Networks

NeurIPS 2020poster

The work studies how node-to-node communications over an Erd\H{o}s-R\'enyi random network influence distributed online convex optimization, which is vital in solving large-scale machine learning in antagonistic or changing environments. At per step, each node (computing unit) makes a local decisi…

Cited by 20SourcePDFScholar
2019

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

ICCV 2019oral

Most previous fusion strategies either fail to fully utilize temporal information or cost too much time, and how to effectively fuse temporal information from consecutive frames plays an important role in video super-resolution (SR). In this study, we propose a novel progressive fusion network for v…

Cited by 337PDFcodeScholar