1 citations · 3 across the 15 of their papers we have counts for
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Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Mohammed Baharoon, Jonathan Klein, Dominik L. Michels
Vision-language contrastive learning frameworks such as CLIP enable learning representations from natural language supervision and provide strong zero-shot classification capabilit…
A Lennard-Jones Layer for Distribution Normalization
Mulun Na, Jonathan Klein, Biao Zhang +3
We introduce the Lennard-Jones layer (LJL) for the equalization of the density of 2D and 3D point clouds through systematically rearranging points without destroying their overall…
HYVE: Hybrid Vertex Encoder for Neural Distance Fields
Stefan Rhys Jeske, Jonathan Klein, Dominik L. Michels +1
Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position.…