Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. - Dhaivat Bhatt; Danish Sodhi; Arghya Pal; Vineeth N. Balasubramanian; K. Madhava Krishna (IROS, 2017)

Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. - Arghya Pal; Vineeth N. Balasubramanian (CVPR, 2018)

Zero-Shot Task Transfer. - Arghya Pal; Vineeth N. Balasubramanian (CVPR, 2019)

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. - K. J. Joseph; Arghya Pal; Sailaja Rajanala; Vineeth N. Balasubramanian (WACV, 2019)

Generative Adversarial Data Programming. - Arghya Pal; Vineeth N. Balasubramanian (CoRR, 2020)

Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis. - Arghya Pal; Raphael C.-W. Phan; KokSheik Wong (CVPR, 2021)

Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis. - Arghya Pal; Raphael C.-W. Phan; KokSheik Wong (CoRR, 2021)

A review of deep learning methods for MRI reconstruction. - Arghya Pal; Yogesh Rathi (CoRR, 2021)

Distilling the Undistillable: Learning from a Nasty Teacher. - Surgan Jandial; Yash Khasbage; Arghya Pal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (ECCV (13), 2022)

Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning. - Arghya Pal; Sailaja Rajanala; Raphael C.-W. Phan; KokSheik Wong (ACM Multimedia, 2022)

DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. - Sailaja Rajanala; Arghya Pal; Manish Singh 002; Raphael C.-W. Phan; KokSheik Wong (SIGIR, 2022)

A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. - Kyler Larsen; Arghya Pal; Yogesh Rathi (CoRR, 2022)

ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face. - Ai-Fang Chai; Sailaja Rajanala; Arghya Pal; Raphaël C.-W. Phan; Chee-Ming Ting (APSIPA ASC, 2023)

Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting. - Pei-Sze Tan; Sailaja Rajanala; Arghya Pal; Raphaël C.-W. Phan; Huey Fang Ong (APSIPA ASC, 2023)

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. - Surgan Jandial; Yash Khasbage; Arghya Pal; Balaji Krishnamurthy; Vineeth N. Balasubramanian (COMAD/CODS, 2023)

$ mathrm{C} eta iota text{DAE}$: Cryptographically Distinguishing Autoencoder for Cipher Cryptanalysis. - Raphaël C.-W. Phan; Arghya Pal; KokSheik Wong; Sailaja Rajanala (GLOBECOM, 2023)

Self Supervised Bert for Legal Text Classification. - Arghya Pal; Sailaja Rajanala; Raphaël C.-W. Phan; KokSheik Wong (ICASSP, 2023)

USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition. - Yin Yin Low; Raphaël C.-W. Phan; Arghya Pal; Xiaojun Chang (ICIP, 2023)

META: Text Detoxification by leveraging METAmorphic Relations and Deep Learning Methods. - Alika Choo; Arghya Pal; Sailaja Rajanala; Arkendu Sen (APSIPA, 2024)

Causally Uncovering Bias in Video Micro-Expression Recognition. - Pei-Sze Tan; Sailaja Rajanala; Arghya Pal; Shu-Min Leong; Raphaël C.-W. Phan; Huey Fang Ong (ICASSP, 2024)

A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction. - Prasad Theeda; Chee-Ming Ting; Arghya Pal; Hernando Ombao (ICIP, 2024)

Distingusic: Distinguishing Synthesized Music from Human. - Zi Qian Yong; Shu-Min Leong; Sailaja Rajanala; Arghya Pal; Raphaël C.-W. Phan (SMC, 2024)

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. - Junn Yong Loo; Michelle Adeline; Arghya Pal; Vishnu Monn Baskaran; Chee-Ming Ting; Raphael C.-W. Phan (CoRR, 2024)

GENIE: Socially Unbiased Generative Text-to-Image Editing. - Julia Kaiwen Lau; Raphaël C.-W. Phan; Sailaja Rajanala; Ingemar J. Cox; Arghya Pal (ICASSP, 2025)

Post-Hoc Adversarial Stickers Against Micro-Expression Leakage. - Pei-Sze Tan; Sailaja Rajanala; Yee-Fan Tan; Arghya Pal; Chun-Ling Tan; Raphaël C.-W. Phan; Huey Fang Ong (ICASSP, 2025)

Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching. - 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 (Trans. Mach. Learn. Res., 2025)

Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks. - Farshad Noravesh; Reza Haffari; Ong Huey Fang; Lay-Ki Soon; Sailaja Rajalana; Arghya Pal (CoRR, 2025)

Denoising via Repainting: an image denoising method using layer wise medical image repainting. - Arghya Pal; Sailaja Rajanala; Chee-Ming Ting; Raphael C.-W. Phan (CoRR, 2025)

Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting. - Pei-Sze Tan; Sailaja Rajanala; Arghya Pal; Raphaël C.-W. Phan; Huey Fang Ong (CoRR, 2025)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation. - Farshad Noravesh; Reza Haffari; Lay-Ki Soon; Arghya Pal (CoRR, 2025)

GSAT: Graph Structure Attention Networks. - Farshad Noravesh; Reza Haffari; Lay-Ki Soon; Arghya Pal (CoRR, 2025)