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20232026
most citedLocal Feature Matching Using Deep Learning: A Survey

91 citations · 135 across the 16 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognition

Shunpeng Chen, Jingyi Zhang, Changwei Wang +6

Visual Place Recognition (VPR) localizes a query image by retrieving database images of the same or nearby place, yet its robustness is often degraded by domain shifts arising from…

cs.CV2026

Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition

Shunpeng Chen, Yukun Song, Changwei Wang +6

Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasin…

cs.CV2025

Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion

Rongtao Xu, Jinzhou Lin, Jialei Zhou +6

Camera-based occupancy prediction is a mainstream approach for 3D perception in autonomous driving, aiming to infer complete 3D scene geometry and semantics from 2D images. Almost…

cs.CV2025

CurriFlow: Curriculum-Guided Depth Fusion with Optical Flow-Based Temporal Alignment for 3D Semantic Scene Completion

Jinzhou Lin, Jie Zhou, Wenhao Xu +7

Semantic Scene Completion (SSC) aims to infer complete 3D geometry and semantics from monocular images, serving as a crucial capability for camera-based perception in autonomous dr…

cs.CV2025

SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition

Shunpeng Chen, Changwei Wang, Rongtao Xu +7

Visual Place Recognition (VPR) requires robust retrieval of geotagged images despite large appearance, viewpoint, and environmental variation. Prior methods focus on descriptor fin…

cs.CV2025

3D-MoRe: Unified Modal-Contextual Reasoning for Embodied Question Answering

Rongtao Xu, Han Gao, Mingming Yu +6

With the growing need for diverse and scalable data in indoor scene tasks, such as question answering and dense captioning, we propose 3D-MoRe, a novel paradigm designed to generat…