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20182026
most citedAnalysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

12 citations · 36 across the 18 of their papers we have counts for

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14 papers · 1 filter

cs.CV2025

PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching

Yun Wang, Junjie Hu, Qiaole Dong +4

Temporally consistent depth estimation from stereo video is critical for real-world applications such as augmented reality, where inconsistent depth estimation disrupts the immersi…

cs.CV2025

RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions

Yun Wang, Junjie Hu, Junhui Hou +3

Recent self-supervised stereo matching methods have made significant progress, but their performance significantly degrades under adverse weather conditions such as night, rain, an…

cs.CV2025

Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection

Yanbing Bai, Rui-Yang Ju, Lemeng Zhao +4

Unmanned Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the limited computational resources…

cs.CV2025

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts

Yun Wang, Longguang Wang, Chenghao Zhang +6

Recently, learning-based stereo matching networks have advanced significantly. However, they often lack robustness and struggle to achieve impressive cross-domain performance due t…

cs.CV2025

SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion

Xiyue Guo, Jiarui Hu, Junjie Hu +2

Recently, camera-based solutions have been extensively explored for scene semantic completion (SSC). Despite their success in visible areas, existing methods struggle to capture co…

cs.CV20231 cited

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

Mingjian Liang, Junjie Hu, Chenyu Bao +3

Recently, RGB-Thermal based perception has shown significant advances. Thermal information provides useful clues when visual cameras suffer from poor lighting conditions, such as l…