39 citations · 39 across the 9 of their papers we have counts for
10 papers
SSMB: Self-Supervised Local Feature Detection under Motion Blur
Zhenjun Zhao, Fabio Bellavia, Wenting Wang +6
Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approa…
Efficient RWKV-based Representation Learning for 3D Point Clouds
Yun Liu, Xuefeng Yan, Liangliang Nan +5
The recent receptance weighted key value (RWKV) model combines RNN-style recurrence, offering a linear-complexity alternative to Transformers' quadratic self-attention for modeling…
An efficient deep reinforcement learning environment for flexible job-shop scheduling
Xinquan Wu, Xuefeng Yan, Mingqiang Wei +1
The Flexible Job-shop Scheduling Problem (FJSP) is a classical combinatorial optimization problem that has a wide-range of applications in the real world. In order to generate fast…
DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration
Jiamei Xiong, Xuefeng Yan, Yongzhen Wang +3
Image restoration under adverse weather conditions is a critical task for many vision-based applications. Recent all-in-one frameworks that handle multiple weather degradations wit…
CrossTracker: Robust Multi-modal 3D Multi-Object Tracking via Cross Correction
Lipeng Gu, Xuefeng Yan, Weiming Wang +4
The fusion of camera- and LiDAR-based detections offers a promising solution to mitigate tracking failures in 3D multi-object tracking (MOT). However, existing methods predominantl…
PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
Yun Liu, Peng Li, Xuefeng Yan +6
The core of self-supervised point cloud learning lies in setting up appropriate pretext tasks, to construct a pre-training framework that enables the encoder to perceive 3D objects…
RegTrack: Simplicity Beneath Complexity in Robust Multi-Modal 3D Multi-Object Tracking
Lipeng Gu, Xuefeng Yan, Song Wang +1
Existing 3D multi-object tracking (MOT) methods often sacrifice efficiency and generalizability for robustness, largely relying on complex association metrics derived from multi-mo…
Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features
Wuzhou Quan, Wei Zhao, Weiming Wang +3
Many targets are often very small in infrared images due to the long-distance imaging meachnism. UNet and its variants, as popular detection backbone networks, downsample the local…
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
Jiamei Xiong, Xuefeng Yan, Yongzhen Wang +3
Haze severely degrades the visual quality of remote sensing images and hampers the performance of road extraction, vehicle detection, and traffic flow monitoring. The emerging deno…
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis
Lipeng Gu, Xuefeng Yan, Liangliang Nan +4
Current methodologies in point cloud analysis predominantly explore 3D geometries, often achieved through the introduction of intricate learnable geometric extractors in the encode…