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20222026
most citedA Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation

15 citations · 50 across the 17 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

DPed-VLN: A Benchmark for Socially Compliant Vision-and-Language Navigation in Dynamic Pedestrian Environments

Haojie Dai, Xiangyi Wang, Liuyi Wang +5

Vision-and-language navigation (VLN) has advanced rapidly in static indoor environments, but robots operating in human-populated spaces must ground language while responding to mov…

cs.CV2026

GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction

Xinzhuo Li, Xianghui Pan, Jiayuan Du +4

Vision-centric 3D occupancy prediction provides dense scene representations essential for autonomous driving and robotic navigation, yet existing methods struggle to scale to high…

cs.RO2026

A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation

Liuyi Wang, Kai Sheng, Zongtao He +8

Navigation is a fundamental capability of autonomous systems, yet most existing approaches rely on highly structured models and strong prior assumptions, limiting their robustness…

cs.CV2026

MemPose: Category-level Object Pose Estimation with Memory

Xiao Lin, Minghao Zhu, Yun Peng +4

In the pursuit of robust and generalizable category-level object pose estimation, most existing methods adopt parametric formulations that learn effective representations from data…

cs.CV2026

TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition

Minghao Zhu, Xiao Lin, Mengxian Hu +5

Adapting CLIP for open-vocabulary video recognition necessitates a delicate balance between newly acquired video knowledge and the pretrained generalization. While existing studies…

cs.CV2026

P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation

Kai Sheng, Liuyi Wang, Haojie Dai +5

Vision-and-language navigation (VLN) requires an embodied agent to ground natural-language instructions into executable navigation actions in unseen environments. Existing zero-sho…

cs.CV2026

GroundVTS: Visual Token Sampling in Multimodal Large Language Models for Video Temporal Grounding

Rong Fan, Kaiyan Xiao, Minghao Zhu +3

Video temporal grounding (VTG) is a critical task in video understanding and a key capability for extending video large language models (Vid-LLMs) to broader applications. However,…

cs.LG2026

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces

Jiayuan Du, Yuebing Song, Yiming Zhao +6

End-to-End autonomous driving (E2E-AD) systems face challenges in lifelong learning, including catastrophic forgetting, difficulty in knowledge transfer across diverse scenarios, a…

cs.RO2026

CLASH: Collaborative Large-Small Hierarchical Framework for Continuous Vision-and-Language Navigation

Liuyi Wang, Zongtao He, Jinlong Li +6

Vision-and-Language Navigation (VLN) requires robots to follow natural language instructions and navigate complex environments without prior maps. While recent vision-language larg…