Cover Image

Collaborative-Distilled Diffusion Models (CDDM) for Accelerated and Lightweight Trajectory Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Bingzhang, Chen, Kehua, Wang, Yinhai
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections
by: Chen, Kehua, et al.
Published: (2025)

Large Language Models and Their Applications in Roadway Safety and Mobility Enhancement: A Comprehensive Review
by: Karim, Muhammad Monjurul, et al.
Published: (2025)

A Comprehensive Review on Artificial Intelligence Empowered Solutions for Enhancing Pedestrian and Cyclist Safety
by: Zhang, Shucheng, et al.
Published: (2025)

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
by: Peng, Mingxing, et al.
Published: (2024)

MetaFollower: Adaptable Personalized Autonomous Car Following
by: Chen, Xianda, et al.
Published: (2024)

Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2025)

Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
by: Duan, Xintong, et al.
Published: (2025)

ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video Understanding
by: Chen, Kehua
Published: (2025)

BitTP: The Lightweight Trajectory Prediction Model with BitLLM for Edge-Devices
by: Kang, Mincheol, et al.
Published: (2026)

MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
by: Chang, Yurui, et al.
Published: (2026)

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM
by: Zhou, Haoyang, et al.
Published: (2026)

Network evasion detection with Bi-LSTM model
by: Chen, Kehua, et al.
Published: (2025)

Intention-aware Denoising Diffusion Model for Trajectory Prediction
by: Liu, Chen, et al.
Published: (2024)

Diff-KD: Diffusion-based Knowledge Distillation for Collaborative Perception under Corruptions
by: Lyu, Pengcheng, et al.
Published: (2026)

Physics-Embedded Gaussian Process for Traffic State Estimation
by: Chen, Yanlin, et al.
Published: (2025)

Accelerating Diffusion Models with One-to-Many Knowledge Distillation
by: Zhang, Linfeng, et al.
Published: (2024)

The Mamba in the Llama: Distilling and Accelerating Hybrid Models
by: Wang, Junxiong, et al.
Published: (2024)

Intention-aware Hierarchical Diffusion Model for Long-term Trajectory Anomaly Detection
by: Wang, Chen, et al.
Published: (2025)

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels
by: Chen, Kehua, et al.
Published: (2025)

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
by: Song, Siqing, et al.
Published: (2026)

WaveComm: Lightweight Communication for Collaborative Perception via Wavelet Feature Distillation
by: Bao, Erdemt, et al.
Published: (2026)

Relation Learning and Aggregate-attention for Multi-person Motion Prediction
by: Qu, Kehua, et al.
Published: (2024)

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT
by: Asfour, Alaa, et al.
Published: (2026)

STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
by: Wenzhe, Jin, et al.
Published: (2025)

Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction
by: Chen, Siyuan, et al.
Published: (2024)

Distilling Lightweight Language Models for C/C++ Vulnerabilities
by: Wei, Zhiyuan, et al.
Published: (2025)

Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
by: Yang, Fengze, et al.
Published: (2025)

Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
by: Neumeier, Marion, et al.
Published: (2024)

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging
by: Gao, Weiguo, et al.
Published: (2025)

EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
by: Chen, Xianda, et al.
Published: (2024)

UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
by: Qu, Kehua, et al.
Published: (2024)

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
by: Zhu, Botao, et al.
Published: (2025)

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
by: Chen, Ruishuo, et al.
Published: (2025)

TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
by: Wang, Jinming, et al.
Published: (2024)

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models
by: Han, Hyunsoo, et al.
Published: (2026)

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
by: Ouyang, Haojie, et al.
Published: (2025)

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

Evidence Over Plans: Online Trajectory Verification for Skill Distillation
by: Zhou, Yang, et al.
Published: (2026)

HeLoFusion: An Efficient and Scalable Encoder for Modeling Heterogeneous and Multi-Scale Interactions in Trajectory Prediction
by: Wei, Bingqing, et al.
Published: (2025)

Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
by: Li, Aochong Oliver, et al.
Published: (2025)