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20172026
most citedGCNv2: Efficient Correspondence Prediction for Real-Time SLAM

23 citations · 82 across the 45 of their papers we have counts for

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26 papers · 1 filter

cs.CV2026

GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes

Ermanno Bartoli, Buwei He, Dennis Rotondi +6

Robots operating in human environments need memories that capture not only what objects exist and where, but also how people use them over time and how individual interactions comp…

cs.CV2026

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data

Qingwen Zhang, Xiaomeng Zhu, Chenhan Jiang +1

Reliable 3D dynamic perception requires models that can anticipate motion beyond predefined categories, yet progress is hindered by the scarcity of dense, high-quality motion annot…

cs.CV2026

TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation

Qingwen Zhang, Chenhan Jiang, Xiaomeng Zhu +4

Self-supervised feed-forward methods for scene flow estimation offer real-time efficiency, but their supervision from two-frame point correspondences is unreliable and often breaks…

cs.CV2025

Visible Structure Retrieval for Lightweight Image-Based Relocalisation

Fereidoon Zangeneh, Leonard Bruns, Amit Dekel +2

Accurate camera pose estimation from an image observation in a previously mapped environment is commonly done through structure-based methods: by finding correspondences between 2D…

cs.CV2025

BlendCLIP: Bridging Synthetic and Real Domains for Zero-Shot 3D Object Classification with Multimodal Pretraining

Ajinkya Khoche, Gergő László Nagy, Maciej Wozniak +2

Zero-shot 3D object classification is crucial for real-world applications like autonomous driving, however it is often hindered by a significant domain gap between the synthetic da…

cs.CV2025

ArgoTweak: Towards Self-Updating HD Maps through Structured Priors

Lena Wild, Rafael Valencia, Patric Jensfelt

Reliable integration of prior information is crucial for self-verifying and self-updating HD maps. However, no public dataset includes the required triplet of prior maps, current m…