1 citations · 1 across the 6 of their papers we have counts for
8 papers
Query-Time Calibration of CLIP Features for Open-Vocabulary 3D Segmentation
Dominik Engel, Yousef Rajeh, Leon Sick +1
Lifting vision-language features such as CLIP into 3D Gaussian reconstructions enables open-vocabulary segmentation through natural-language queries. Although CLIP represents a bro…
Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning
Wenxuan Zhang, Yuhui Wang, Donggang Jia +5
Large Vision-Language Models (VLMs) now act as agents in interactive environments, where success requires coherent reasoning and decision-making across turns. Although end-to-end t…
ClickAIXR: On-Device Multimodal Vision-Language Interaction with Real-World Objects in Extended Reality
Dawar Khan, Alexandre Kouyoumdjian, Xinyu Liu +3
We present ClickAIXR, a novel on-device framework for multimodal vision-language interaction with objects in extended reality (XR). Unlike prior systems that rely on cloud-based AI…
ARCOL: Aspect Ratio Constrained Orthogonal Layout
Zainab Alsuwaykit, Yousef Rajeh, Alexandre Kouyoumdjian +5
Orthogonal graph layout algorithms aim to produce clear, compact, and readable network diagrams by arranging nodes and edges along horizontal and vertical lines, while minimizing b…
SkinningGS: Editable Dynamic Human Scene Reconstruction Using Gaussian Splatting Based on a Skinning Model
Da Li, Donggang Jia, Markus Hadwiger +1
Reconstructing an interactive human avatar and the background from a monocular video of a dynamic human scene is highly challenging. In this work we adopt a strategy of point cloud…
RaRa Clipper: A Clipper for Gaussian Splatting Based on Ray Tracer and Rasterizer
Da Li, Donggang Jia, Yousef Rajeh +2
With the advancement of Gaussian Splatting techniques, a growing number of datasets based on this representation have been developed. However, performing accurate and efficient cli…
AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results
Dawar Khan, Xinyu Liu, Omar Mena +3
The deployment of large language models (LLMs) on extended reality (XR) devices has great potential to advance the field of human-AI interaction. In the case of direct, on-device m…
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data
Omar Mena, Alexandre Kouyoumdjian, Lonni Besançon +3
We present a method for augmenting a Large Language Model (LLM) with a combination of text and visual data to enable accurate question answering in visualization of scientific data…