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20232026
most citedALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction

4 citations · 6 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

GlanceWAM: Sparse Test-Time Imagination for World-Action Models

Linhan Wang, Zijian An, Mingyuan Zhang +8

Video generative models provide rich physical priors for robot learning, yet existing world-action models (WAMs) face a fundamental trade-off: synchronous video generation at contr…

cs.CV2026

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving

Linhan Wang, Zichong Yang, Chen Bai +6

End-to-end autonomous driving increasingly leverages self-supervised video pretraining to learn transferable planning representations. However, pretraining video world models for s…

cs.CV2025

SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning

Linhan Wang, Jianwen Dou, Wang Li +4

Cryogenic Electron Tomography (CryoET) combined with sub-volume averaging (SVA) is the only imaging modality capable of resolving protein structures inside cells at molecular resol…

cs.CV2024★ 1 cited

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos

Linhan Wang, Kai Cheng, Shuo Lei +5

We present DC-Gaussian, a new method for generating novel views from in-vehicle dash cam videos. While neural rendering techniques have made significant strides in driving scenario…

cs.CV2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation

Linhan Wang, Shuo Lei, Jianfeng He +3

Remote sensing image semantic segmentation is an important problem for remote sensing image interpretation. Although remarkable progress has been achieved, existing deep neural net…