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20242026
most citedDeep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2026

OvDSGG: End-to-End Open-Vocabulary Dynamic Scene Graph Generation

John Helsby, Yi Yang, Bodo Rosenhahn +1

Dynamic scene graphs (DSGs) capture spatio-temporal interactions across videos as subject, predicate, object triplets, and underpin downstream tasks such as video…

cs.CV2026

Seeing Before Answering: Training-Free Visual Layer Profiling for Vision-Language Models

Ruchen Liu, Yi Yang, Yiming Xu +3

LLaVA-style Vision-Language Models (VLMs) pass visual tokens from a fixed late layer of the vision backbone, typically the penultimate one, to the language model. We first show tha…

cs.CV2026

PUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation

Yi Yang, Myrna Castillo, Bodo Rosenhahn +1

Online 3D scene graph generation builds a persistent, structured representation of a scene by incrementally fusing 2D observations into a global 3D graph. Existing online methods t…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…