3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
Pan He, Patrick Emami, Sanjay Ranka +1
In this paper, we present a new self-supervised scene flow estimation approach for a pair of consecutive point clouds. The key idea of our approach is to represent discrete point c…
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
Patrick Emami, Pan He, Sanjay Ranka +1
Unsupervised multi-object representation learning depends on inductive biases to guide the discovery of object-centric representations that generalize. However, we observe that met…
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami, Panos M. Pardalos, Lily Elefteriadou +1
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature. A popular and general way to formulate dat…