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20242026
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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…