:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bauvin, Baptiste, Baret, Loïc, Ahmad, Ola
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Robotics
Online Access:	https://arxiv.org/abs/2510.18636
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
by: Chiaroni, Florent, et al.
Published: (2025)

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
by: Qu, Xiaoyi, et al.
Published: (2025)

Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey
by: Schotschneider, Albert, et al.
Published: (2025)

SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
by: Mandalika, Sriram, et al.
Published: (2024)

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
by: Maruyama, Yoshihiro
Published: (2025)

Neural MP: A Generalist Neural Motion Planner
by: Dalal, Murtaza, et al.
Published: (2024)

Aether: Geometric-Aware Unified World Modeling
by: Aether Team, et al.
Published: (2025)

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
by: Chang, Jianlei, et al.
Published: (2025)

Subtask-Aware Visual Reward Learning from Segmented Demonstrations
by: Kim, Changyeon, et al.
Published: (2025)

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
by: Rahimi, Ahmad, et al.
Published: (2023)

Neural Fields in Robotics: A Survey
by: Irshad, Muhammad Zubair, et al.
Published: (2024)

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
by: Chen, Dong, et al.
Published: (2024)

Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
by: Yu, Xuehui, et al.
Published: (2026)

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
by: Ma, Xiao, et al.
Published: (2024)

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
by: Zhu, Haoyi, et al.
Published: (2024)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
by: Mohan, Rohit, et al.
Published: (2025)

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
by: Zhang, Kaidong, et al.
Published: (2024)

Opening Articulated Structures in the Real World
by: Gupta, Arjun, et al.
Published: (2024)

FALCON: Future-Aware Learning with Contextual Object-Centric Pretraining for UAV Action Recognition
by: Xian, Ruiqi, et al.
Published: (2024)

Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
by: Orozco, Sergio, et al.
Published: (2026)

Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
by: Kindap, Yaman, et al.
Published: (2026)

A Survey on Efficient Vision-Language-Action Models
by: Yu, Zhaoshu, et al.
Published: (2025)

Diffusion Models as Optimizers for Efficient Planning in Offline RL
by: Huang, Renming, et al.
Published: (2024)

Information-driven Affordance Discovery for Efficient Robotic Manipulation
by: Mazzaglia, Pietro, et al.
Published: (2024)

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving
by: Zhu, Ruiyang, et al.
Published: (2026)

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
by: Biswas, Sourav, et al.
Published: (2024)

Explore until Confident: Efficient Exploration for Embodied Question Answering
by: Ren, Allen Z., et al.
Published: (2024)

CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
by: Wang, Rujia, et al.
Published: (2025)

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
by: Liu, Xueyi, et al.
Published: (2025)

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

SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
by: Garrett, Caelan, et al.
Published: (2024)

Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
by: Zhang, Miao, et al.
Published: (2025)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
by: Zhang, Lu, et al.
Published: (2024)

DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous Driving
by: HU, Haibo, et al.
Published: (2025)

Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
by: Huang, Chi-Pin, et al.
Published: (2026)

RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations
by: Ameperosa, Ezra, et al.
Published: (2024)

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
by: Madjid, Nadya Abdel, et al.
Published: (2025)

TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion
by: Khoshkdahan, Mohammad, et al.
Published: (2026)