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Ammar Qammaz

2 accepted papers

2026

Y-MAP-Net: Learning from Foundation Models for Real-Time, Multi-Task Scene Perception

ICRA 2026poster

We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net simultaneously predicts depth, surface normals, human pose, semantic segmentation, and generates multi-label captions in a single forward pass. To achieve this, we adopt a…

Cited by 0Scholar
2015

Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces

CVPR 2015poster

We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera. We consider a manipulated object with known geometrical and physical properties. First, we rely on model-based visual tracking t…

Cited by 106SourcePDFScholar