Arghya Pal

42 papers A* 6A 2B 5Misc 4Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal-Ex: Causal graph-based micro and macro expression spotting.
Pattern Recognit. Lett.
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Huey Fang Ong
2026 A* conf
FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction.
AAAI
Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal, Sailaja Rajanala, Raphael C.-W. Phan, Mettu Srinivas, Chee-Ming Ting
2026 J jnl
FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction.
CoRR
Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal, Sailaja Rajanala, Raphael Chung-Wei Phan, Mettu Srinivas, Chee-Ming Ting
2026 J jnl
Facial Counterfactual Generation via Causal Mask-Guided Editing.
Trans. Mach. Learn. Res.
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Raphael C.-W. Phan, Huey Fang Ong
2025 J jnl
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks.
CoRR
Farshad Noravesh, Reza Haffari, Ong Huey Fang, Lay-Ki Soon, Sailaja Rajalana, Arghya Pal
2025 J jnl
Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting.
CoRR
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Huey Fang Ong
2025 J jnl
Denoising via Repainting: an image denoising method using layer wise medical image repainting.
CoRR
Arghya Pal, Sailaja Rajanala, Chee-Ming Ting, Raphael C.-W. Phan
2025 Misc conf
GENIE: Socially Unbiased Generative Text-to-Image Editing.
ICASSP
Julia Kaiwen Lau, Raphaël C.-W. Phan, Sailaja Rajanala, Ingemar J. Cox, Arghya Pal
2025 J jnl
GSAT: Graph Structure Attention Networks.
CoRR
Farshad Noravesh, Reza Haffari, Lay-Ki Soon, Arghya Pal
2025 — conf
Herald: Democratizing Compositional Reasoning for Visual Tasks without Any Training.
APSIPA
Guan-Yuan Tan, Arghya Pal, Sailaja Rajanala, Raphaël C.-W. Phan, Chee-Ming Ting
2025 J jnl
LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation.
CoRR
Farshad Noravesh, Reza Haffari, Lay-Ki Soon, Arghya Pal
2025 J jnl
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching.
CoRR
Junn Yong Loo, Michelle Adeline, Julia Kaiwen Lau, Fang Yu Leong, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan
2025 J jnl
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching.
Trans. Mach. Learn. Res.
Junn Yong Loo, Fang Yu Leong, Michelle Adeline, Julia Kaiwen Lau, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan
2025 B conf
Polyfit generative model: can a group of lower-order polynomials generate high resolution diverse images?
IJCNN
Arghya Pal, Ai-Fang Chai, Sailaja Rajanala, Raphael C.-W. Phan, KokSheik Wong, Chee-Ming Ting
2025 Misc conf
Post-Hoc Adversarial Stickers Against Micro-Expression Leakage.
ICASSP
Pei-Sze Tan, Sailaja Rajanala, Yee-Fan Tan, Arghya Pal, Chun-Ling Tan, Raphaël C.-W. Phan, Huey Fang Ong
2024 B conf
A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction.
ICIP
Prasad Theeda, Chee-Ming Ting, Arghya Pal, Hernando Ombao
2024 Misc conf
Causally Uncovering Bias in Video Micro-Expression Recognition.
ICASSP
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Shu-Min Leong, Raphaël C.-W. Phan, Huey Fang Ong
2024 B conf
Distingusic: Distinguishing Synthesized Music from Human.
SMC
Zi Qian Yong, Shu-Min Leong, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan
2024 — conf
META: Text Detoxification by leveraging METAmorphic Relations and Deep Learning Methods.
APSIPA
Alika Choo, Arghya Pal, Sailaja Rajanala, Arkendu Sen
2024 J jnl
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling.
CoRR
Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
2023 B conf
$\mathrm{C}\eta\iota \text{DAE}$: Cryptographically Distinguishing Autoencoder for Cipher Cryptanalysis.
GLOBECOM
Raphaël C.-W. Phan, Arghya Pal, KokSheik Wong, Sailaja Rajanala
2023 — conf
ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face.
APSIPA ASC
Ai-Fang Chai, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Chee-Ming Ting
2023 — conf
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.
COMAD/CODS
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2023 Misc conf
Self Supervised Bert for Legal Text Classification.
ICASSP
Arghya Pal, Sailaja Rajanala, Raphaël C.-W. Phan, KokSheik Wong
2023 B conf
USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition.
ICIP
Yin Yin Low, Raphaël C.-W. Phan, Arghya Pal, Xiaojun Chang
2023 — conf
Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting.
APSIPA ASC
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Huey Fang Ong
2022 J jnl
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces.
CoRR
Kyler Larsen, Arghya Pal, Yogesh Rathi
2022 A* conf
DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation.
SIGIR
Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael C.-W. Phan, KokSheik Wong
2022 — conf
Distilling the Undistillable: Learning from a Nasty Teacher.
ECCV (13)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2022 J jnl
Distilling the Undistillable: Learning from a Nasty Teacher.
CoRR
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2022 A* conf
Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning.
ACM Multimedia
Arghya Pal, Sailaja Rajanala, Raphael C.-W. Phan, KokSheik Wong
2021 J jnl
A review of deep learning methods for MRI reconstruction.
CoRR
Arghya Pal, Yogesh Rathi
2021 A* conf
Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis.
CVPR
Arghya Pal, Raphael C.-W. Phan, KokSheik Wong
2021 J jnl
Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis.
CoRR
Arghya Pal, Raphael C.-W. Phan, KokSheik Wong
2020 J jnl
Generative Adversarial Data Programming.
CoRR
Arghya Pal, Vineeth N. Balasubramanian
2019 A conf
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.
WACV
K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
2019 A* conf
Zero-Shot Task Transfer.
CVPR
Arghya Pal, Vineeth N. Balasubramanian
2019 J jnl
Zero-Shot Task Transfer.
CoRR
Arghya Pal, Vineeth N. Balasubramanian
2018 A* conf
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data.
CVPR
Arghya Pal, Vineeth N. Balasubramanian
2018 J jnl
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data.
CoRR
Arghya Pal, Vineeth N. Balasubramanian
2018 J jnl
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.
CoRR
K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
2017 A conf
Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras.
IROS
Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth N. Balasubramanian, K. Madhava Krishna