Arghya Pal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Emotion Recognition

Discriminative Classifiers

Top Venues

Publications

Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Shu-Min Leong, Raphaël C.-W. Phan, Huey Fang Ong
Causally Uncovering Bias in Video Micro-Expression Recognition. ICASSP (2024)
Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. CoRR (2024)
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS (2023)
Arghya Pal, Sailaja Rajanala, Raphaël C.-W. Phan, KokSheik Wong
Self Supervised Bert for Legal Text Classification. ICASSP (2023)
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Huey Fang Ong
Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting. APSIPA ASC (2023)
Yin Yin Low, Raphaël C.-W. Phan, Arghya Pal, Xiaojun Chang
USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition. ICIP (2023)
Raphaël C.-W. Phan, Arghya Pal, KokSheik Wong, Sailaja Rajanala
$\mathrm{C}\eta\iota \text{DAE}$: Cryptographically Distinguishing Autoencoder for Cipher Cryptanalysis. GLOBECOM (2023)
Ai-Fang Chai, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Chee-Ming Ting
ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face. APSIPA ASC (2023)
Arghya Pal, Sailaja Rajanala, Raphael C.-W. Phan, KokSheik Wong
Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning. ACM Multimedia (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. ECCV (13) (2022)
Kyler Larsen, Arghya Pal, Yogesh Rathi
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. CoRR (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. CoRR (2022)
Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael C.-W. Phan, KokSheik Wong
DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. SIGIR (2022)
Arghya Pal, Raphael C.-W. Phan, KokSheik Wong
Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis. CoRR (2021)
Arghya Pal, Yogesh Rathi
A review of deep learning methods for MRI reconstruction. CoRR (2021)
Arghya Pal, Raphael C.-W. Phan, KokSheik Wong
Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis. CVPR (2021)
Arghya Pal, Vineeth N. Balasubramanian
Generative Adversarial Data Programming. CoRR (2020)
K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. WACV (2019)
Arghya Pal, Vineeth N. Balasubramanian
Zero-Shot Task Transfer. CVPR (2019)
Arghya Pal, Vineeth N. Balasubramanian
Zero-Shot Task Transfer. CoRR (2019)
K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. CoRR (2018)
Arghya Pal, Vineeth N. Balasubramanian
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CVPR (2018)
Arghya Pal, Vineeth N. Balasubramanian
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CoRR (2018)
Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth N. Balasubramanian, K. Madhava Krishna
Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. IROS (2017)