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Journal Articles
- 2024
[j6]Rohit Kundu, Soumitri Chattopadhyay, Sayan Nag, Mario A. Navarro
, Diego Oliva:
Prism refraction search: a novel physics-based metaheuristic algorithm. J. Supercomput. 80(8): 10746-10795 (2024)- 2023
- [j5]Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. Trans. Mach. Learn. Res. 2023 (2023) - 2021
- [j4]Shankha Sanyal, Archi Banerjee, Sayan Nag, Uddalok Sarkar, Souparno Roy, Ranjan Sengupta, Dipak Ghosh:
Tagore and neuroscience: A non-linear multifractal study to encapsulate the evolution of Tagore songs over a century. Entertain. Comput. 37: 100367 (2021) - 2020
- [j3]Mohamed E. Abd Elaziz, Uddalok Sarkar, Sayan Nag, Salvador Hinojosa, Diego Oliva:
Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. Soft Comput. 24(19): 14885-14905 (2020) - 2019
- [j2]Sayan Nag:
Vector quantization using the improved differential evolution algorithm for image compression. Genet. Program. Evolvable Mach. 20(2): 187-212 (2019) - [j1]Diego Oliva, Sayan Nag, Mohamed E. Abd Elaziz, Uddalok Sarkar, Salvador Hinojosa:
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. Swarm Evol. Comput. 51 (2019)
Conference and Workshop Papers
- 2024
- [c12]Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi:
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CVPR 2024: 14076-14088 - [c11]Sanjoy Chowdhury, Sayan Nag, K. J. Joseph, Balaji Vasan Srinivasan, Dinesh Manocha:
MELFuSION: Synthesizing Music from Image and Language Cues Using Diffusion Models. CVPR 2024: 26816-26825 - [c10]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. ECCV (44) 2024: 485-503 - 2023
- [c9]Mayukh Bhattacharyya, Soumitri Chattopadhyay, Sayan Nag:
DeCAtt: Efficient Vision Transformers with Decorrelated Attention Heads. CVPR Workshops 2023: 4695-4699 - [c8]Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha:
APoLLo : Unified Adapter and Prompt Learning for Vision Language Models. EMNLP 2023: 10173-10187 - [c7]Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu, Sayan Nag, Rammohan Mallipeddi:
Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation. ICASSP 2023: 1-5 - [c6]Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. ICCV 2023: 5262-5274 - [c5]Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay:
Exploring Self-Supervised Representation Learning for Low-Resource Medical Image Analysis. ICIP 2023: 1440-1444 - [c4]Ahana Deb, Sayan Nag, Ayan Mahapatra, Soumitri Chattopadhyay, Aritra Marik, Pijush Kanti Gayen, Shankha Sanyal, Archi Banerjee, Samir Karmakar:
BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion. INTERSPEECH 2023: 3392-3396 - [c3]Sayan Nag, Mayukh Bhattacharyya, Anuraag Mukherjee, Rohit Kundu:
Serf: Towards better training of deep neural networks using log-Softplus ERror activation Function. WACV 2023: 5313-5322 - 2022
- [c2]Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh:
Deciphering Environmental Air Pollution with Large Scale City Data. IJCAI 2022: 5031-5037 - 2020
- [c1]Osvald Nitski, Sayan Nag, Chris McIntosh, Bo Wang:
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction. MICCAI (2) 2020: 421-430
Informal and Other Publications
- 2024
- [i29]Sanjoy Chowdhury, Sayan Nag, K. J. Joseph, Balaji Vasan Srinivasan, Dinesh Manocha:
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models. CoRR abs/2406.04673 (2024) - [i28]Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta, Jun Chen, Mohamed Elhoseiny, Ruohan Gao, Dinesh Manocha:
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time. CoRR abs/2407.01851 (2024) - [i27]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR abs/2407.02389 (2024) - 2023
- [i26]Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay:
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis. CoRR abs/2303.02245 (2023) - [i25]Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay:
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis. CoRR abs/2303.05556 (2023) - [i24]Ahana Deb, Sayan Nag, Ayan Mahapatra, Soumitri Chattopadhyay, Aritra Marik, Pijush Kanti Gayen, Shankha Sanyal, Archi Banerjee, Samir Karmakar:
BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion. CoRR abs/2306.02680 (2023) - [i23]Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR abs/2307.05463 (2023) - [i22]Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha:
APoLLo: Unified Adapter and Prompt Learning for Vision Language Models. CoRR abs/2312.01564 (2023) - [i21]Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi:
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR abs/2312.12423 (2023) - 2022
- [i20]Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR abs/2210.04135 (2022) - [i19]Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu, Sayan Nag, Rammohan Mallipeddi:
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2210.15075 (2022) - 2021
- [i18]Uddalok Sarkar, Sayan Nag, Medha Basu, Archi Banerjee, Shankha Sanyal, Ranjan Sengupta, Dipak Ghosh:
Neural Network architectures to classify emotions in Indian Classical Music. CoRR abs/2102.00616 (2021) - [i17]Uddalok Sarkar, Sayan Nag, Chirayata Bhattacharya, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Language Independent Emotion Quantification using Non linear Modelling of Speech. CoRR abs/2102.06003 (2021) - [i16]Sayan Nag, Uddalok Sarkar, Shankha Sanyal, Archi Banerjee, Souparno Roy, Samir Karmakar, Ranjan Sengupta, Dipak Ghosh:
A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction. CoRR abs/2102.06038 (2021) - [i15]Sayan Nag:
Graph Self Supervised Learning: the BT, the HSIC, and the VICReg. CoRR abs/2105.12247 (2021) - [i14]Sayan Nag, Mayukh Bhattacharyya:
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function. CoRR abs/2108.09598 (2021) - [i13]Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh:
Deciphering Environmental Air Pollution with Large Scale City Data. CoRR abs/2109.04572 (2021) - 2020
- [i12]Uddalok Sarkar, Soumyadeep Pal, Sayan Nag, Chirayata Bhattacharya, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Speaker Recognition in Bengali Language from Nonlinear Features. CoRR abs/2004.07820 (2020) - [i11]Chirayata Bhattacharya, Sourya Sengupta, Sayan Nag, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
From Speech to Recital - A case of phase transition? A non-linear study. CoRR abs/2004.08248 (2020) - [i10]Sayan Nag:
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images. CoRR abs/2012.05694 (2020) - 2019
- [i9]Mayukh Bhattacharyya, Sayan Nag:
Hybrid Style Siamese Network: Incorporating style loss in complimentary apparels retrieval. CoRR abs/1912.05014 (2019) - 2018
- [i8]Uddalok Sarkar, Sayan Nag:
An Adaptive Genetic Algorithm for Solving N-Queens Problem. CoRR abs/1802.02006 (2018) - 2017
- [i7]Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh:
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. CoRR abs/1703.06491 (2017) - [i6]Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. CoRR abs/1705.03543 (2017) - [i5]Sayan Nag:
Adaptive Plant Propagation Algorithm for Solving Economic Load Dispatch Problem. CoRR abs/1708.07040 (2017) - [i4]Sayan Nag:
A Type II Fuzzy Entropy Based Multi-Level Image Thresholding Using Adaptive Plant Propagation Algorithm. CoRR abs/1708.09461 (2017) - [i3]Sayan Nag:
Vector Quantization using the Improved Differential Evolution Algorithm for Image Compression. CoRR abs/1710.05311 (2017) - [i2]Sayan Nag:
Image Registration Techniques: A Survey. CoRR abs/1712.07540 (2017) - [i1]Sayan Nag, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Music of Brain and Music on Brain: A Novel EEG Sonification approach. CoRR abs/1712.08336 (2017)
Coauthor Index
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