Search Results for author: Punit Rathore

Found 7 papers, 1 papers with code

A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations

no code implementations25 Sep 2024 Akash Agrawal, Mayesh Mohapatra, Abhinav Raja, Paritosh Tiwari, Vishwajeet Pattanaik, Neeru Jaiswal, Arpit Agarwal, Punit Rathore

The current process for cyclone detection and intensity estimation involves physics-based simulation studies which are time-consuming, only using image features will automate the process for significantly faster and more accurate predictions.

Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights

1 code implementation24 Oct 2023 Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore

In LoRAE, we incorporated a low-rank regularizer to adaptively reconstruct a low-dimensional latent space while preserving the basic objective of an autoencoder.

Image Generation

A Theoretical and Empirical Study on the Convergence of Adam with an "Exact" Constant Step Size in Non-Convex Settings

no code implementations15 Sep 2023 Alokendu Mazumder, Rishabh Sabharwal, Manan Tayal, Bhartendu Kumar, Punit Rathore

Lastly, (iii) we also demonstrate that our derived constant step size has better abilities in reducing the gradient norms, and empirically, we show that despite the accumulation of a few past gradients, the key driver for convergence in Adam is the non-increasing step sizes.

DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets

no code implementations29 May 2023 Alokendu Mazumder, Tirthajit Baruah, Akash Kumar Singh, Pagadla Krishna Murthy, Vishwajeet Pattanaik, Punit Rathore

Estimating the number of clusters and cluster structures in unlabeled, complex, and high-dimensional datasets (like images) is challenging for traditional clustering algorithms.

Clustering Deep Clustering

Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study

no code implementations9 Sep 2020 Punit Rathore, Ali Zonoozi, Omid Geramifard, Tan Kian Lee

In this paper, we analyze drivers' and passengers' locations at the time of booking request in the context of drivers' pick-up performances.

Clustering

ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge

no code implementations21 Aug 2020 Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti

We demonstrate ConiVAT approach to visual assessment and single linkage clustering on nine datasets to show that, it improves the quality of iVAT images for complex datasets, and it also overcomes the limitation of SL clustering with VAT/iVAT due to "noisy" bridges between clusters.

Clustering

A Scalable Framework for Trajectory Prediction

no code implementations10 Jun 2018 Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek

To address these limitations, we propose a scalable clustering and Markov chain based hybrid framework, called Traj-clusiVAT-based TP, for both short-term and long-term trajectory prediction, which can handle a large number of overlapping trajectories in a dense road network.

Clustering Management +2

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