Ujjal Kr Dutta

Orcid: 0000-0002-0470-5521

According to our database1, Ujjal Kr Dutta authored at least 17 papers between 2018 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Application of Zone Method based Machine Learning and Physics-Informed Neural Networks in Reheating Furnaces.
CoRR, 2023

2022
Multispectral Satellite Data Classification using Soft Computing Approach.
CoRR, 2022

Seeing Objects in Dark with Continual Contrastive Learning.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Fuse and Attend: Generalized Embedding Learning for Art and Sketches.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning.
CoRR, 2021

Color Variants Identification via Contrastive Self-Supervised Representation Learning.
CoRR, 2021

Buy Me That Look: An Approach for Recommending Similar Fashion Products.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

Semi-Supervised Metric Learning: A Deep Resurrection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss.
IEEE Trans. Artif. Intell., 2020

Affinity guided Geometric Semi-Supervised Metric Learning.
CoRR, 2020

A Geometric Approach for Unsupervised Similarity Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Metric Learning with Synthetic Examples.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Probabilistic approach for Learning Embeddings without Supervision.
CoRR, 2019

2018
Subspace Segmentation Based Metric Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018


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