activity
20182026
most citedDeep Learning for Scene Classification: A Survey

22 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly

Qihao Lin, Borui Chen, Yuping Zhou +4

The contour estimation of transparent fragments is very important for autonomous reassembly, especially in the fields of precision optical instrument repair, cultural relic restora…

cs.CV2024

3D Registration in 30 Years: A Survey

Jiaqi Yang, Chu'ai Zhang, Zhengbao Wang +10

3D point cloud registration is a fundamental problem in computer vision, computer graphics, robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the ama…

eess.IV2024

MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution

Wentao Chao, Fuqing Duan, Yulan Guo +1

Data augmentation (DA) is an effective approach for enhancing model performance with limited data, such as light field (LF) image super-resolution (SR). LF images inherently posses…

cs.CV2021★ 22 cited

Deep Learning for Scene Classification: A Survey

Delu Zeng, Minyu Liao, Mohammad Tavakolian +5

Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challengin…

cs.GR2018★ 20 cited

Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling

Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1

This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…