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From the 1 of 11 linked papers with an AI index.

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11 papers

cs.CV2026

RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping

Tianchen Deng, Zhiheng Feng, Wenhua Wu +4

The paper presents ROADGS-T, a framework that uses adaptive meshgrid Gaussian surfels to efficiently reconstruct large‑scale road surfaces for autonomous driving, improving detail…

cs.CV2026

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.CV2026

Mamba-VGGT: Persistent Long-Sequence Video Geometry Grounded Transformer via External Sliding Window Mamba Memory

Tianchen Deng, Zhenxiang Xiong, Nailin Wang +4

Visual Geometry Grounded Transformers (VGGT) have set new benchmarks in high-fidelity 3D scene reconstruction. However, as the sequence length increases, these models suffer from c…

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.RO2026

Keep It CALM: Toward Calibration-Free Kilometer-Level SLAM with Visual Geometry Foundation Models via an Assistant Eye

Tianjun Zhang, Fengyi Zhang, Tianchen Deng +2

Visual Geometry Foundation Models (VGFMs) demonstrate remarkable zero-shot capabilities in local reconstruction. However, deploying them for kilometer-level Simultaneous Localizati…

cs.CV2026

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction

Yangyi Xiao, Siting Zhu, Baoquan Yang +3

Multi-traversal scene reconstruction is important for high-fidelity autonomous driving simulation and digital twin construction. This task involves integrating multiple sequences c…