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From the 1 of 27 linked papers with an AI index.

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20242026
most citedPredictive and adaptive maps for long-term visual navigation in changing environments

26 citations · 26 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation

Bo Miao, Weijia Liu, Jun Luo +8

Language-conditioned goal navigation (LGN) requires agents to locate user-specified targets without step-by-step guidance. However, existing benchmarks largely focus on category-le…

cs.CV2026

Detecting Precise Hand Touch Moments in Egocentric Video

Huy Anh Nguyen, Feras Dayoub, Minh Hoai

We address the challenging task of detecting the precise moment when hands make contact with objects in egocentric videos. This frame-level detection is crucial for augmented reali…

cs.CV2026

AIMC-Spec: A Benchmark Dataset for Automatic Intrapulse Modulation Classification under Variable Noise Conditions

Sebastian L. Cocks, Salvador Dreo, Brian Ng +1

A lack of standardized datasets has long hindered progress in automatic intrapulse modulation classification (AIMC), a critical task in radar signal analysis for electronic support…

cs.CV2026

Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams

Lachlan Holden, Feras Dayoub, Alberto Candela +2

Accurate localisation in planetary robotics enables the advanced autonomy required to support the increased scale and scope of future missions. The successes of the Ingenuity helic…

cs.CV2025

SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection

Chun-Jung Lin, Tat-Jun Chin, Sourav Garg +1

Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as…

cs.CV2025

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Jiajun Deng, Tianyu He, Li Jiang +3

Current 3D Large Multimodal Models (3D LMMs) have shown tremendous potential in 3D-vision-based dialogue and reasoning. However, how to further enhance 3D LMMs to achieve fine-grai…