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20182026
most citedMGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

35 citations · 40 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Video-based Pedestrian and Vehicle Traffic Analysis During Football Games

Jacques P. Fleischer, Ryan Pallack, Ahan Mishra +7

This paper utilizes video analytics to study pedestrian and vehicle traffic behavior, focusing on analyzing traffic patterns during football gamedays. The University of Florida (UF…

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

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…

cs.CV20213 cited

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…

cs.CV2020

SparsePipe: Parallel Deep Learning for 3D Point Clouds

Keke Zhai, Pan He, Tania Banerjee +2

We propose SparsePipe, an efficient and asynchronous parallelism approach for handling 3D point clouds with multi-GPU training. SparsePipe is built to support 3D sparse data such a…