Arghya Pal

Orcid: 0000-0003-4918-2565

According to our database1, Arghya Pal authored at least 18 papers between 2017 and 2023.

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Bibliography

2023
USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Self Supervised Bert for Legal Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

$\mathrm{C}\eta\iota \text{DAE}$: Cryptographically Distinguishing Autoencoder for Cipher Cryptanalysis.
Proceedings of the IEEE Global Communications Conference, 2023

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces.
CoRR, 2022

DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Distilling the Undistillable: Learning from a Nasty Teacher.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A review of deep learning methods for MRI reconstruction.
CoRR, 2021

Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis.
CoRR, 2021

Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Generative Adversarial Data Programming.
CoRR, 2020

2019
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Zero-Shot Task Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


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