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Found 5 papers, 2 papers with code
WANDR: Intention-guided Human Motion Generation
To address this, we introduce WANDR, a data-driven model that takes an avatar's initial pose and a goal's 3D position and generates natural human motions that place the end effector (wrist) on the goal location.
RelVAE: Generative Pretraining for few-shot Visual Relationship Detection
Visual relations are complex, multimodal concepts that play an important role in the way humans perceive the world.
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction
We present a novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD).
Interpretable Visual Question Answering via Reasoning Supervision
Transformer-based architectures have recently demonstrated remarkable performance in the Visual Question Answering (VQA) task.
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection
Scene Graph Generators (SGGs) are models that, given an image, build a directed graph where each edge represents a predicted subject predicate object triplet.
