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cs.CV2022
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations
Pan He, Patrick Emami, Sanjay Ranka +1
We present a new approach to unsupervised shape correspondence learning between pairs of point clouds. We make the first attempt to adapt the classical locally linear embedding alg…
cs.CV2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Patrick Emami, Pan He, Sanjay Ranka +1
Unconditional scene inference and generation are challenging to learn jointly with a single compositional model. Despite encouraging progress on models that extract object-centric…