Imagen de Portada

CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kumar, Naman, Singha, Antareep, Nanwani, Laksh, Potdar, Dhruv, R, Tarun, Rastgar, Fatemeh, Idoko, Simon, Singh, Arun Kumar, Krishna, K. Madhava
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Crowd-FM: Learned Optimal Selection of Conditional Flow Matching-generated Trajectories for Crowd Navigation
por: Singha, Antareep, et al.
Publicado: (2026)

Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM
por: Nanwani, Laksh, et al.
Publicado: (2024)

Swarm-Gen: Fast Generation of Diverse Feasible Swarm Behaviors
por: Idoko, Simon, et al.
Publicado: (2025)

Quantum Circuit AutoEncoder
por: Wu, Jun, et al.
Publicado: (2023)

Towards reliable real-time trajectory optimization
por: Rastgar, Fatemeh
Publicado: (2024)

Knowledge-integrated AutoEncoder Model
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Distribution Matching Variational AutoEncoder
por: Ye, Sen, et al.
Publicado: (2025)

SOSAE: Self-Organizing Sparse AutoEncoder
por: Modi, Sarthak Ketanbhai, et al.
Publicado: (2025)

RCNet: $ΔΣ$ IADCs as Recurrent AutoEncoders
por: Verdant, Arnaud, et al.
Publicado: (2025)

Latent Diffusion Models with Masked AutoEncoders
por: Lee, Junho, et al.
Publicado: (2025)

Interaction-aware Conformal Prediction for Crowd Navigation
por: Huang, Zhe, et al.
Publicado: (2025)

HiCrowd: Hierarchical Crowd Flow Alignment for Dense Human Environments
por: Zhu, Yufei, et al.
Publicado: (2026)

FGA: Fourier-Guided Attention Network for Crowd Count Estimation
por: Chaudhuri, Yashwardhan, et al.
Publicado: (2024)

AutoEncoder Convolutional Neural Network for Pneumonia Detection
por: Nosa-Omoruyi, Michael, et al.
Publicado: (2024)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
por: Kim, Yeongmin, et al.
Publicado: (2024)

Norm Augmented Graph AutoEncoders for Link Prediction
por: Liu, Yunhui, et al.
Publicado: (2025)

Improved AutoEncoder with LSTM module and KL divergence
por: Huang, Wei, et al.
Publicado: (2024)

Using Random Codebooks for Audio Neural AutoEncoders
por: Giniès, Benoît, et al.
Publicado: (2024)

AEMLO: AutoEncoder-Guided Multi-Label Oversampling
por: Zhou, Ao, et al.
Publicado: (2024)

Latent Enhancing AutoEncoder for Occluded Image Classification
por: Kotwal, Ketan, et al.
Publicado: (2024)

Crowd Management - Social Force Model
por: Ratish Kumar
Publicado: (2021)

HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
por: Vuong, An Dinh, et al.
Publicado: (2023)

Representation Learning of Lab Values via Masked AutoEncoders
por: Restrepo, David, et al.
Publicado: (2025)

Detecting AutoEncoder is Enough to Catch LDM Generated Images
por: Vesnin, Dmitry, et al.
Publicado: (2024)

DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
por: Guo, Zhiqiang, et al.
Publicado: (2024)

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
por: Kumar, Abhay, et al.
Publicado: (2019)

A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting
por: Chaudhuri, Yashwardhan, et al.
Publicado: (2024)

MonoMPC: Monocular Vision Based Navigation with Learned Collision Model and Risk-Aware Model Predictive Control
por: Sharma, Basant, et al.
Publicado: (2025)

Learning Strategies For Successful Crowd Navigation
por: Daulatabad, Rajshree, et al.
Publicado: (2024)

Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization
por: Idoko, Simon, et al.
Publicado: (2024)

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
por: Idoko, Simon, et al.
Publicado: (2025)

Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
por: Guerrero-López, Alejandro, et al.
Publicado: (2022)

A Markov Random Field Multi-Modal Variational AutoEncoder
por: Oubari, Fouad, et al.
Publicado: (2024)

mDAE : modified Denoising AutoEncoder for missing data imputation
por: Dupuy, Mariette, et al.
Publicado: (2024)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
por: Li, Zhiwei, et al.
Publicado: (2024)

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
por: Jorgensen, Steven, et al.
Publicado: (2025)

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
por: Chen, Changan, et al.
Publicado: (2018)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
por: Zhang, Jiefu, et al.
Publicado: (2026)

Generator-Guided Crowd Reaction Assessment
por: Ghosh, Sohom, et al.
Publicado: (2024)

Mean-Field Games Modeling of Anticipation in Dense Crowds
por: Butano, Matteo, et al.
Publicado: (2024)