Harsh Maheshwari

Orcid: 0000-0002-9568-1093

According to our database1, Harsh Maheshwari authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline.
CoRR, 2024

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022
Performance degradation of ImageNet trained models by simple image transformations.
CoRR, 2022

Recommendation of Compatible Outfits Conditioned on Style.
Proceedings of the Advances in Information Retrieval, 2022

An Application to Generate Style Guided Compatible Outfit.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection.
Int. J. Comput. Vis., 2021

MSN: Efficient Online Mask Selection Network for Video Instance Segmentation.
CoRR, 2021

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Adaptive COVID-19 Forecasting via Bayesian Optimization.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace.
CoRR, 2020

2019
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.
CoRR, 2019

Design and Implementation of Autonomous Ground Vehicle for Constrained Environments.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019


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