most citedUniLGL: Learning Uniform Place Recognition for FOV-limited/Panoramic LiDAR Global Localization

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

math.NT2026

The Goldbach exceptional set: an exponent 7/12 and conditional refinement

János Pintz, Ingo Althöfer

Let \(E(X)\) count the even integers between \(4\) and \(X\) that are not sums of two primes. We combine Pintz's explicit formula for the major arcs with the exponential-sum estima…

cs.CV2026

VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction

Xun Chen, Tianchen Deng, Rui Wang +5

3D semantic occupancy prediction requires accurate 2D-to-3D feature lifting, yet current methods restrict camera geometry to initial projections. Subsequent operations like offset…

cs.CV2025

Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer

Tianchen Deng, Wenhua Wu, Kunzhen Wu +7

Visual localization has traditionally been formulated as a pair-wise pose regression problem. Existing approaches mainly estimate relative poses between two images and employ a lat…

cs.CV2025

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Tianchen Deng, Xun Chen, Ziming Li +5

Visual Place Recognition (VPR) has been traditionally formulated as a single-image retrieval task. Using multiple views offers clear advantages, yet this setting remains relatively…

cs.RO2025★ 1 cited

UniLGL: Learning Uniform Place Recognition for FOV-limited/Panoramic LiDAR Global Localization

Hongming Shen, Xun Chen, Yulin Hui +5

Existing LGL methods typically consider only partial information (e.g., geometric features) from LiDAR observations or are designed for homogeneous LiDAR sensors, overlooking the u…

cs.CV2025

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Tianchen Deng, Guole Shen, Xun Chen +9

Neural implicit scene representations have recently shown promising results in dense visual SLAM. However, existing implicit SLAM algorithms are constrained to single-agent scenari…