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cs.CV2025
Large Pre-Trained Models for Bimanual Manipulation in 3D
Hanna Yurchyk, Wei-Di Chang, Gregory Dudek +1
We investigate the integration of attention maps from a pre-trained Vision Transformer into voxel representations to enhance bimanual robotic manipulation. Specifically, we extract…
cs.CV2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
Lucas Berry, Axel Brando, David Meger
Generative diffusion models, notable for their large parameter count (exceeding 100 million) and operation within high-dimensional image spaces, pose significant challenges for tra…