activity
20182026
most citedHI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction

7 citations · 10 across the 13 of their papers we have counts for

collaborators

17 papers

cs.CV2026

A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction Models

Nanxing Nick Deng, Qing Cheng, Niclas Zeller +1

Feed-forward 3D reconstruction models output a per-pixel confidence that is used by downstream systems as an uncertainty signal. The confidence is trained to serve as a weight in t…

cs.CV2026

PRISM-VO: Scale-Aware Visual Odometry Using Photometric Plenoptic Bundle Adjustment

Aymeric Fleith, Julian Zirbel, Daniel Cremers +1

We introduce PRISM-VO, a novel pure optimization-based sparse photometric visual odometry framework for focused plenoptic cameras. The core of PRISM-VO is a novel photometric pleno…

cs.CV2026

MambaPanoptic: A Vision Mamba-based Structured State Space Framework for Panoptic Segmentation

Qing Cheng, Damiano Bertolini, Wei Zhang +3

Panoptic segmentation requires the simultaneous recognition of countable thing instances and amorphous stuff regions, placing joint demands on long-range context modelling, multi-s…

cs.CV2026

GeodesicNVS: Probability Density Geodesic Flow Matching for Novel View Synthesis

Xuqin Wang, Tao Wu, Yanfeng Zhang +5

Recent advances in generative modeling have substantially enhanced novel view synthesis, yet maintaining consistency across viewpoints remains challenging. Diffusion-based models r…

cs.CV2025

LiFMCR: Dataset and Benchmark for Light Field Multi-Camera Registration

Aymeric Fleith, Julian Zirbel, Daniel Cremers +1

We present LiFMCR, a novel dataset for the registration of multiple micro lens array (MLA)-based light field cameras. While existing light field datasets are limited to single-came…

cs.LG2025

TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route

Hongyi Luo, Qing Cheng, Daniel Matos +7

Humans can interpret geospatial information through natural language, while the geospatial cognition capabilities of Large Language Models (LLMs) remain underexplored. Prior resear…