Yashaswi Verma

Orcid: 0000-0003-2317-2641

According to our database1, Yashaswi Verma authored at least 25 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Activity-based Early Autism Diagnosis Using A Multi-Dataset Supervised Contrastive Learning Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Early-stage autism diagnosis using action videos and contrastive feature learning.
Multim. Syst., October, 2023

2022
Action-based Early Autism Diagnosis Using Contrastive Feature Learning.
CoRR, 2022

Surprising Effectiveness of Random Feature Embeddings in eXtreme Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Cross-modal Retrieval Using Contrastive Learning of Visual-Semantic Embeddings.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-view Multi-label Canonical Correlation Analysis for Cross-modal Matching and Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Contrastive Learning of Visual-Semantic Embeddings.
CoRR, 2021

2020
A retrieval-based approach for diverse and image-specific adversary selection.
Int. J. Multim. Inf. Retr., 2020

Recurrent Image Annotation with Explicit Inter-label Dependencies.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Diverse image annotation with missing labels.
Pattern Recognit., 2019

An Embarrassingly Simple Baseline for eXtreme Multi-label Prediction.
CoRR, 2019

2018
Automatic image annotation: the quirks and what works.
Multim. Tools Appl., 2018

Cross-specificity: modelling data semantics for cross-modal matching and retrieval.
Int. J. Multim. Inf. Retr., 2018

2017
Image Annotation by Propagating Labels from Semantic Neighbourhoods.
Int. J. Comput. Vis., 2017

A support vector approach for cross-modal search of images and texts.
Comput. Vis. Image Underst., 2017

2016
A Robust Distance with Correlated Metric Learning for Multi-Instance Multi-Label Data.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Relative Parts: Distinctive Parts for Learning Relative Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Im2Text and Text2Im: Associating Images and Texts for Cross-Modal Retrieval.
Proceedings of the British Machine Vision Conference, 2014

2013
Generating Image Descriptions Using Semantic Similarities in the Output Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Exploring SVM for Image Annotation in Presence of Confusing Labels.
Proceedings of the British Machine Vision Conference, 2013

2012
Neti Neti: in search of deity.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Image Annotation Using Metric Learning in Semantic Neighbourhoods.
Proceedings of the Computer Vision - ECCV 2012, 2012

Choosing Linguistics over Vision to Describe Images.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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