Sanjay Ranka

An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

Jan 25, 2023
Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan

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* Submitted to IEEE Intelligent Transportation Systems Transactions

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Scalable Hybrid Learning Techniques for Scientific Data Compression

Dec 21, 2022
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

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Expressing linear equality constraints in feedforward neural networks

Nov 08, 2022
Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka

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Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

Sep 07, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

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Slot Order Matters for Compositional Scene Understanding

Jun 03, 2022
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

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* 30 pages, 17 figures. Code and videos available at https://github.com/pemami4911/segregate-relate-imagine

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Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions

Mar 23, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Published in AAAI Conference on Artificial Intelligence (2022)

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Learning Scene Dynamics from Point Cloud Sequences

Nov 16, 2021
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Accepted for publication in International Journal of Computer Vision, Special Issue on 3D Computer Vision. Code and data: https://github.com/BestSonny/SPCM

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Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations

Jun 07, 2021
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

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* Published in ICML'21. Code and data: https://github.com/pemami4911/EfficientMORL

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Hybrid Generative Models for Two-Dimensional Datasets

Jun 01, 2021
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan

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SparsePipe: Parallel Deep Learning for 3D Point Clouds

Dec 27, 2020
Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka

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* Accepted in 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)

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