:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Boucaud, Laurent, Aloise, Daniel, Saunier, Nicolas
Format:	Preprint
Published:	2021
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2106.15321
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction
by: Chen, Kai, et al.
Published: (2025)

Learning Velocity and Acceleration: Self-Supervised Motion Consistency for Pedestrian Trajectory Prediction
by: Huang, Yizhou, et al.
Published: (2025)

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
by: Liu, Yu, et al.
Published: (2024)

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
by: Zhang, Chi, et al.
Published: (2021)

WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex
by: Wu, Ho Chun, et al.
Published: (2024)

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
by: Chib, Pranav Singh, et al.
Published: (2024)

Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
by: Tamaru, Rei, et al.
Published: (2024)

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations
by: Landry, François G., et al.
Published: (2025)

Where Do You Go? Pedestrian Trajectory Prediction using Scene Features
by: Rezaei, Mohammad Ali, et al.
Published: (2025)

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
by: Calandra, Roberto, et al.
Published: (2017)

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
by: Garg, Aryan, et al.
Published: (2022)

A Spatio-temporal Graph Network Allowing Incomplete Trajectory Input for Pedestrian Trajectory Prediction
by: Long, Juncen, et al.
Published: (2025)

SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
by: Wong, Conghao, et al.
Published: (2023)

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
by: Xie, Jiajia, et al.
Published: (2025)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
by: Yadav, Harsh, et al.
Published: (2024)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
by: Dong, Yinke, et al.
Published: (2024)

Lite-SAM Is Actually What You Need for Segment Everything
by: Fu, Jianhai, et al.
Published: (2024)

SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction
by: Wong, Conghao, et al.
Published: (2024)

Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving
by: Bai, Jie, et al.
Published: (2024)

GC-GAT: Multimodal Vehicular Trajectory Prediction using Graph Goal Conditioning and Cross-context Attention
by: Gulzar, Mahir, et al.
Published: (2025)

Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction
by: Liu, Yu, et al.
Published: (2025)

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
by: Xiang, Wei, et al.
Published: (2024)

Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations
by: Wong, Conghao, et al.
Published: (2024)

Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
by: Zou, Ziqian, et al.
Published: (2024)

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing
by: Sun, Libo, et al.
Published: (2026)

Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectories
by: Golchoubian, Mahsa, et al.
Published: (2025)

Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset
by: Nataly, Melo Castillo Angie, et al.
Published: (2024)

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction
by: Zhang, Chi, et al.
Published: (2022)

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
by: Feifel, Patrick, et al.
Published: (2025)

TrajLearn: Trajectory Prediction Learning using Deep Generative Models
by: Nadiri, Amirhossein, et al.
Published: (2024)

Unsupervised Representation Learning by Balanced Self Attention Matching
by: Shalam, Daniel, et al.
Published: (2024)

A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time
by: Lin, Tengfeng, et al.
Published: (2024)

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
by: Lyssenko, Maria, et al.
Published: (2024)

Trustworthy Pedestrian Trajectory Prediction via Pattern-Aware Interaction Modeling
by: Zhai, Kaiyuan, et al.
Published: (2025)

A Flow-based Credibility Metric for Safety-critical Pedestrian Detection
by: Lyssenko, Maria, et al.
Published: (2024)

Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
by: Tang, Wen-Jia, et al.
Published: (2024)

Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction
by: Riaz, Muhammad Naveed, et al.
Published: (2024)

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
by: Chen, Chao, et al.
Published: (2023)

TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
by: Zhang, Junrui, et al.
Published: (2024)

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
by: Zhang, Yechao, et al.
Published: (2023)