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20232025
most citedpacketLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space

1 citations · 4 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 1 cited

Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols

Iqra Qasim, Alexander Horsch, Dilip K. Prasad

Untrimmed videos have interrelated events, dependencies, context, overlapping events, object-object interactions, domain specificity, and other semantics that are worth highlightin…

cs.AI2023

No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series

Rohit Agarwal, Aman Sinha, Ayan Vishwakarma +5

Modeling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into r…

physics.optics2023

Taxonomy of hybridly polarized Stokes vortex beams

Gauri Arora, Ankit Butola, Ruchi Rajput +5

Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital…

cs.CV2023

MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval

Rohit Agarwal, Gyanendra Das, Saksham Aggarwal +2

Image retrieval has garnered growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid…

eess.IV2023★ 1 cited

MiShape: 3D Shape Modelling of Mitochondria in Microscopy

Abhinanda R. Punnakkal, Suyog S Jadhav, Alexander Horsch +2

Fluorescence microscopy is a quintessential tool for observing cells and understanding the underlying mechanisms of life-sustaining processes of all living organisms. The problem o…

cs.LG2023

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts

Rohit Agarwal, Deepak Gupta, Alexander Horsch +1

Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the a…