6 papers
Orchard: An Open-Source Agentic Modeling Framework
Baolin Peng, Wenlin Yao, Qianhui Wu +11
Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning, reasoning, tool use, and multi-turn interaction with external envi…
Increasing the Efficiency of DETR for Maritime High-Resolution Images
Tinsae Yehuala, Hao Cheng, Ville Lehtola
Maritime object detection is critical for the safe navigation of unmanned surface vessels (USVs), requiring accurate recognition of obstacles from small buoys to large vessels. Rea…
HiMAP: History-aware Map-occupancy Prediction with Fallback
Yiming Xu, Yi Yang, Hao Cheng +1
Accurate motion forecasting is critical for autonomous driving, yet most predictors rely on multi-object tracking (MOT) with identity association, assuming that objects are correct…
Multi-Object Tracking Retrieval with LLaVA-Video: A Training-Free Solution to MOT25-StAG Challenge
Yi Yang, Yiming Xu, Timo Kaiser +3
In this report, we present our solution to the MOT25-Spatiotemporal Action Grounding (MOT25-StAG) Challenge. The aim of this challenge is to accurately localize and track multiple…
FDSG: Forecasting Dynamic Scene Graphs
Yi Yang, Yuren Cong, Hao Cheng +2
Dynamic scene graph generation extends scene graph generation from images to videos by modeling entity relationships and their temporal evolution. However, existing methods either…
Explainable few-shot learning workflow for detecting invasive and exotic tree species
Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku +5
Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where model…