Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. - Sayan Nag; Sayan Biswas; Sourya Sengupta; Shankha Sanyal; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh (CoRR, 2017)

Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. - Shankha Sanyal; Archi Banerjee; Souparno Roy; Sourya Sengupta; Sayan Biswas; Sayan Nag; Ranjan Sengupta; Dipak Ghosh (CoRR, 2017)

Adaptive Plant Propagation Algorithm for Solving Economic Load Dispatch Problem. - Sayan Nag (CoRR, 2017)

A Type II Fuzzy Entropy Based Multi-Level Image Thresholding Using Adaptive Plant Propagation Algorithm. - Sayan Nag (CoRR, 2017)

Image Registration Techniques: A Survey. - Sayan Nag (CoRR, 2017)

Music of Brain and Music on Brain: A Novel EEG Sonification approach. - Sayan Nag; Shankha Sanyal; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh (CoRR, 2017)

An Adaptive Genetic Algorithm for Solving N-Queens Problem. - Uddalok Sarkar; Sayan Nag (CoRR, 2018)

Hybrid Style Siamese Network: Incorporating style loss in complimentary apparels retrieval. - Mayukh Bhattacharyya; Sayan Nag (CoRR, 2019)

Vector quantization using the improved differential evolution algorithm for image compression. - Sayan Nag (Genet. Program. Evolvable Mach., 2019)

Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. - Diego Oliva; Sayan Nag; Mohamed E. Abd Elaziz; Uddalok Sarkar; Salvador Hinojosa (Swarm Evol. Comput., 2019)

CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction. - Osvald Nitski; Sayan Nag; Chris McIntosh; Bo Wang 044 (MICCAI (2), 2020)

Speaker Recognition in Bengali Language from Nonlinear Features. - Uddalok Sarkar; Soumyadeep Pal; Sayan Nag; Chirayata Bhattacharya; Shankha Sanyal; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh (CoRR, 2020)

From Speech to Recital - A case of phase transition? A non-linear study. - Chirayata Bhattacharya; Sourya Sengupta; Sayan Nag; Shankha Sanyal; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh (CoRR, 2020)

Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images. - Sayan Nag (CoRR, 2020)

Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. - Mohamed E. Abd Elaziz; Uddalok Sarkar; Sayan Nag; Salvador Hinojosa; Diego Oliva (Soft Comput., 2020)

Neural Network architectures to classify emotions in Indian Classical Music. - Uddalok Sarkar; Sayan Nag; Medha Basu; Archi Banerjee; Shankha Sanyal; Ranjan Sengupta; Dipak Ghosh (CoRR, 2021)

Language Independent Emotion Quantification using Non linear Modelling of Speech. - Uddalok Sarkar; Sayan Nag; Chirayata Bhattacharya; Shankha Sanyal; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh (CoRR, 2021)

A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction. - Sayan Nag; Uddalok Sarkar; Shankha Sanyal; Archi Banerjee; Souparno Roy; Samir Karmakar; Ranjan Sengupta; Dipak Ghosh (CoRR, 2021)

Graph Self Supervised Learning: the BT, the HSIC, and the VICReg. - Sayan Nag (CoRR, 2021)

SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function. - Sayan Nag; Mayukh Bhattacharyya (CoRR, 2021)

Tagore and neuroscience: A non-linear multifractal study to encapsulate the evolution of Tagore songs over a century. - Shankha Sanyal; Archi Banerjee; Sayan Nag; Uddalok Sarkar; Souparno Roy; Ranjan Sengupta; Dipak Ghosh (Entertain. Comput., 2021)

Deciphering Environmental Air Pollution with Large Scale City Data. - Mayukh Bhattacharyya; Sayan Nag; Udita Ghosh (IJCAI, 2022)

DeCAtt: Efficient Vision Transformers with Decorrelated Attention Heads. - Mayukh Bhattacharyya; Soumitri Chattopadhyay; Sayan Nag (CVPR Workshops, 2023)

APoLLo : Unified Adapter and Prompt Learning for Vision Language Models. - Sanjoy Chowdhury; Sayan Nag; Dinesh Manocha (EMNLP, 2023)

Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation. - Hritam Basak; Soumitri Chattopadhyay; Rohit Kundu; Sayan Nag; Rammohan Mallipeddi (ICASSP, 2023)

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. - Shraman Pramanick; Yale Song; Sayan Nag; Kevin Qinghong Lin; Hardik Shah; Mike Zheng Shou; Rama Chellappa; Pengchuan Zhang (ICCV, 2023)

Exploring Self-Supervised Representation Learning for Low-Resource Medical Image Analysis. - Soumitri Chattopadhyay; Soham Ganguly; Sreejit Chaudhury; Sayan Nag; Samiran Chattopadhyay (ICIP, 2023)

BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion. - Ahana Deb; Sayan Nag; Ayan Mahapatra; Soumitri Chattopadhyay; Aritra Marik; Pijush Kanti Gayen; Shankha Sanyal; Archi Banerjee; Samir Karmakar (INTERSPEECH, 2023)

Serf: Towards better training of deep neural networks using log-Softplus ERror activation Function. - Sayan Nag; Mayukh Bhattacharyya; Anuraag Mukherjee; Rohit Kundu (WACV, 2023)

An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis. - Soumitri Chattopadhyay; Soham Ganguly; Sreejit Chaudhury; Sayan Nag; Samiran Chattopadhyay (CoRR, 2023)

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. - Shraman Pramanick; Li Jing 001; Sayan Nag; Jiachen Zhu 002; Hardik Shah; Yann LeCun; Rama Chellappa (Trans. Mach. Learn. Res., 2023)

MELFuSION: Synthesizing Music from Image and Language Cues Using Diffusion Models. - Sanjoy Chowdhury; Sayan Nag; K. J. Joseph; Balaji Vasan Srinivasan; Dinesh Manocha (CVPR, 2024)

Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. - Shraman Pramanick; Guangxing Han; Rui Hou; Sayan Nag; Ser-Nam Lim; Nicolas Ballas; Qifan Wang 001; Rama Chellappa; Amjad Almahairi (CVPR, 2024)

MEERKAT: Audio-Visual Large Language Model for Grounding in Space and Time. - Sanjoy Chowdhury; Sayan Nag; Subhrajyoti Dasgupta; Jun Chen 021; Mohamed Elhoseiny; Ruohan Gao; Dinesh Manocha (ECCV (64), 2024)

SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (ECCV (44), 2024)

SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (CoRR, 2024)

Prism refraction search: a novel physics-based metaheuristic algorithm. - Rohit Kundu; Soumitri Chattopadhyay; Sayan Nag; Mario A. Navarro; Diego Oliva (J. Supercomput., 2024)

AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs. - Sanjoy Chowdhury; Sayan Nag; Subhrajyoti Dasgupta; Yaoting Wang; Mohamed Elhoseiny; Ruohan Gao; Dinesh Manocha (CoRR, 2025)

Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs. - Sanjoy Chowdhury; Hanan Gani; Nishit Anand; Sayan Nag; Ruohan Gao; Mohamed Elhoseiny; Salman Khan 001; Dinesh Manocha (CoRR, 2025)

Localizing Knowledge in Diffusion Transformers. - Arman Zarei; Samyadeep Basu; Keivan Rezaei; Zihao Lin 003; Sayan Nag; Soheil Feizi (CoRR, 2025)

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks. - Sanjoy Chowdhury; Mohamed Elmoghany; Yohan Abeysinghe; Junjie Fei; Sayan Nag; Salman Khan 001; Mohamed Elhoseiny; Dinesh Manocha (CoRR, 2025)

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception. - Sanjoy Chowdhury; Subrata Biswas; Sayan Nag; Tushar Nagarajan; Calvin Murdock; Ishwarya Ananthabhotla; Yijun Qian; Vamsi Krishna Ithapu; Dinesh Manocha; Ruohan Gao (CoRR, 2025)

AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning. - Siminfar Samakoush Galougah; Rishie Raj; Sanjoy Chowdhury; Sayan Nag; Ramani Duraiswami (CoRR, 2025)