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20242026
most citedGeneral Place Recognition Survey: Towards Real-World Autonomy

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

Event Cameras versus Frame Cameras for Synthetic-Aperture Imaging: A Simulation Study

Jakob Hinterholzer, Mohamed Youssef, Oliver Bimber

Synthetic-aperture imaging (SAI) removes occluders such as foliage by integrating many views of a scene along a camera path. It has so far been used mainly with frame cameras. We a…

cs.CV2026

Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction

Jingwen Yu, Hengli Wang, Jianhao Jiao +3

Feed-forward reconstruction recovers camera poses and dense geometry from image sets whose views are assumed to come from a single scene. In practice, uncurated image collections o…

cs.CV2026

ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models

Cheng Yang, Jianhao Jiao, Lingyi Huang +8

Vision-Language-Action (VLA) models rely on current observations, including images, language instructions, and robot states, to predict actions and complete tasks. While accurate v…

cs.CV2025

UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering

Yusen Xie, Zhenmin Huang, Jianhao Jiao +2

In this paper, we propose UniGS, a unified map representation and differentiable framework for high-fidelity multimodal 3D reconstruction based on 3D Gaussian Splatting. Our framew…

cs.CV2025

Event-Driven Dynamic Scene Depth Completion

Zhiqiang Yan, Jianhao Jiao, Zhengxue Wang +1

Depth completion in dynamic scenes poses significant challenges due to rapid ego-motion and object motion, which can severely degrade the quality of input modalities such as RGB im…

cs.CV2024

LoGS: Visual Localization via Gaussian Splatting with Fewer Training Images

Yuzhou Cheng, Jianhao Jiao, Yue Wang +1

Visual localization involves estimating a query image's 6-DoF (degrees of freedom) camera pose, which is a fundamental component in various computer vision and robotic tasks. This…