Human Age Prediction from Facial Image Using Transfer Learning in Deep Convolutional Neural Networks. - M. A. H. Akhand; Md. Ijaj Sayim; Shuvendu Roy; Nazmul H. Siddique (IJCCI, 2019)

Spatiotemporal Contrastive Learning of Facial Expressions in Videos. - Shuvendu Roy; Ali Etemad (ACII, 2021)

Self-supervised Contrastive Learning of Multi-view Facial Expressions. - Shuvendu Roy; Ali Etemad (ICMI, 2021)

Analysis of Semi-Supervised Methods for Facial Expression Recognition. - Shuvendu Roy; Ali Etemad (ACII, 2022)

Impact of Labelled Set Selection and Supervision Policies on Semi-supervised Learning. - Shuvendu Roy; Ali Etemad (CoRR, 2022)

Active Learning with Contrastive Pre-training for Facial Expression Recognition. - Shuvendu Roy; Ali Etemad (ACII, 2023)

Temporal Contrastive Learning with Curriculum. - Shuvendu Roy; Ali Etemad (ICASSP, 2023)

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data. - Shuvendu Roy; Ali Etemad (CoRR, 2023)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. - Shuvendu Roy; Ali Etemad (AAAI, 2024)

Consistency-guided Prompt Learning for Vision-Language Models. - Shuvendu Roy; Ali Etemad (ICLR, 2024)

Few-shot Tuning of Foundation Models for Class-incremental Learning. - Shuvendu Roy; Elham Dolatabadi; Arash Afkanpour; Ali Etemad (CoRR, 2024)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. - Shuvendu Roy; Yasaman Parhizkar; Franklin Ogidi; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning. - Shuvendu Roy; Chunjong Park; Aldi Fahrezi; Ali Etemad (Trans. Mach. Learn. Res., 2024)

Contrastive Learning of View-invariant Representations for Facial Expressions Recognition. - Shuvendu Roy; Ali Etemad (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. - Barys Liskavets; Maxim Ushakov; Shuvendu Roy; Mark Klibanov; Ali Etemad; Shane K. Luke (AAAI, 2025)

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition Using In-Distribution, Out-of-Distribution, and Unconstrained Data. - Shuvendu Roy; Ali Etemad (IEEE Trans. Affect. Comput., 2025)

Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models. - Shuvendu Roy; Elham Dolatabadi; Arash Afkanpour; Ali Etemad (Trans. Mach. Learn. Res., 2025)

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation. - Shuvendu Roy; Ali Etemad (CoRR, 2025)

Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor. - Barys Liskavets; Shuvendu Roy; Maxim Ushakov; Mark Klibanov; Ali Etemad; Shane Luke (CoRR, 2025)

A Shared Encoder Approach to Multimodal Representation Learning. - Shuvendu Roy; Franklin Ogidi; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2025)

Advancing Medical Representation Learning Through High-Quality Data. - Negin Baghbanzadeh; Adibvafa Fallahpour; Yasaman Parhizkar; Franklin Ogidi; Shuvendu Roy; Sajad Ashkezari; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Arash Afkanpour; Elham Dolatabadi (CoRR, 2025)

Impact of Strategic Sampling and Supervision Policies on Semi-Supervised Learning. - Shuvendu Roy; Ali Etemad (IEEE Trans. Emerg. Top. Comput. Intell., 2025)