Cover Image

WalkVLM:Aid Visually Impaired People Walking by Vision Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Zhiqiang, Zhang, Ting, Deng, Ying, Zhang, Jiapei, Zhu, Yeshuang, Jia, Zexi, Zhou, Jie, Zhang, Jinchao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets
by: Jia, Zexi, et al.
Published: (2025)

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection
by: Jia, Zexi, et al.
Published: (2025)

RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation
by: Yuan, Zhiqiang, et al.
Published: (2025)

ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation
by: Zhang, Ting, et al.
Published: (2024)

Semantic to Structure: Learning Structural Representations for Infringement Detection
by: Huang, Chuanwei, et al.
Published: (2025)

Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
by: Jia, Zexi, et al.
Published: (2025)

F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
by: Bi, Hanbo, et al.
Published: (2025)

VSD2M: A Large-scale Vision-language Sticker Dataset for Multi-frame Animated Sticker Generation
by: Yuan, Zhiqiang, et al.
Published: (2024)

StyleDecoupler: Generalizable Artistic Style Disentanglement
by: Jia, Zexi, et al.
Published: (2026)

Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants
by: Li, Chongyang, et al.
Published: (2025)

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection
by: Jia, Zexi, et al.
Published: (2026)

A Synthetic-to-Real Dehazing Method based on Domain Unification
by: Yuan, Zhiqiang, et al.
Published: (2025)

Evaluating Generative Models via One-Dimensional Code Distributions
by: Jia, Zexi, et al.
Published: (2026)

Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
by: Jia, Zexi, et al.
Published: (2026)

Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
by: Fei, Hongyan, et al.
Published: (2026)

Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task
by: Yang, Yiran, et al.
Published: (2024)

mmWalk: Towards Multi-modal Multi-view Walking Assistance
by: Ying, Kedi, et al.
Published: (2025)

TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language Navigation
by: Liu, Jiaxing, et al.
Published: (2026)

Vision Transformer based Random Walk for Group Re-Identification
by: Zhang, Guoqing, et al.
Published: (2024)

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
by: Zhang, Yuan, et al.
Published: (2024)

WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation
by: Sultan, Rafi Ibn, et al.
Published: (2026)

A Review of Vision-Based Assistive Systems for Visually Impaired People: Technologies, Applications, and Future Directions
by: Yao, Fulong, et al.
Published: (2025)

Random Walk on Point Clouds for Feature Detection
by: Zhang, Yuhe, et al.
Published: (2026)

RelationVLM: Making Large Vision-Language Models Understand Visual Relations
by: Huang, Zhipeng, et al.
Published: (2024)

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models
by: Hu, Nanxing, et al.
Published: (2025)

SLAM for Visually Impaired People: a Survey
by: Bamdad, Marziyeh, et al.
Published: (2022)

A Large Vision-Language Model based Environment Perception System for Visually Impaired People
by: Chen, Zezhou, et al.
Published: (2025)

NaVIP: An Image-Centric Indoor Navigation Solution for Visually Impaired People
by: Yu, Jun, et al.
Published: (2024)

U-VLM: Hierarchical Vision Language Modeling for Report Generation
by: Shi, Pengcheng, et al.
Published: (2026)

A Visually Impaired Assistance Benchmark for VLM-as-a-Judge Evaluation
by: Zhao, Yi, et al.
Published: (2026)

Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging
by: Liu, Xiaotong, et al.
Published: (2024)

Q-VLM: Post-training Quantization for Large Vision-Language Models
by: Wang, Changyuan, et al.
Published: (2024)

SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation
by: Rawal, Niyati, et al.
Published: (2026)

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
by: Zhang, Jianke, et al.
Published: (2026)

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation
by: Zhang, Jiazhao, et al.
Published: (2024)

Too Vivid to Be Real? Benchmarking and Calibrating Generative Color Fidelity
by: Fang, Zhengyao, et al.
Published: (2026)

On Denoising Walking Videos for Gait Recognition
by: Jin, Dongyang, et al.
Published: (2025)

Unsupervised Segmentation by Diffusing, Walking and Cutting
by: Ivanova, Daniela, et al.
Published: (2024)

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding
by: Lin, Jiawen, et al.
Published: (2025)

CogVLM2: Visual Language Models for Image and Video Understanding
by: Hong, Wenyi, et al.
Published: (2024)