9 papers
RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs
Maëlic Neau
Open-vocabulary detection accepts any class list at inference, and promptable segmentation returns regions without class names: the taxonomy has left the model and become an input.…
Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
Maëlic Neau, Salim Baloch, Jakob Suchan +2
Learning-driven Scene Graph Generation (SGG) models excel on frequent relation types but degrade sharply under annotation sparsity, failing to capture reliable visual commonsense k…
REACT++: Efficient Cross-Attention for Real-Time Scene Graph Generation
Maëlic Neau, Zoe Falomir
Scene Graph Generation (SGG) is a task that encodes visual relationships between objects in images as graph structures. SGG shows significant promise as a foundational component fo…
GraSP-VLA: Graph-based Symbolic Action Representation for Long-Horizon Planning with VLA Policies
Maëlic Neau, Zoe Falomir, Paulo E. Santos +2
Deploying autonomous robots that can learn new skills from demonstrations is an important challenge of modern robotics. Existing solutions often apply end-to-end imitation learning…
Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generation
Maëlic Neau, Zoe Falomir, Cédric Buche +1
Scene Graph Generation (SGG) encodes visual relationships between objects in images as graph structures. Thanks to the advances of Vision-Language Models (VLMs), the task of Open-V…
REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation
Maëlic Neau, Paulo E. Santos, Anne-Gwenn Bosser +2
Scene Graph Generation (SGG) is a task that encodes visual relationships between objects in images as graph structures. SGG shows significant promise as a foundational component fo…
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation
Neau Maëlic, Paulo E. Santos, Anne-Gwenn Bosser +1
Learning to compose visual relationships from raw images in the form of scene graphs is a highly challenging task due to contextual dependencies, but it is essential in computer vi…
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser +2
Human-Robot Interaction (HRI) is an emerging subfield of service robotics. While most existing approaches rely on explicit signals (i.e. voice, gesture) to engage, current literatu…
RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
Antoine Dizet, Cédric Le Bono, Amélie Legeleux +2
Every year, the Robocup@Home competition challenges teams and robots' abilities. In 2020, the RoboCup@Home Education challenge was organized online, altering the usual competition…