20 citations · 60 across the 26 of their papers we have counts for
28 papers
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Shraman Pramanick, Yale Song, Sayan Nag +5
Video-language pre-training (VLP) has become increasingly important due to its ability to generalize to various vision and language tasks. However, existing egocentric VLP framewor…
BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion
Ahana Deb, Sayan Nag, Ayan Mahapatra +6
Spoken languages often utilise intonation, rhythm, intensity, and structure, to communicate intention, which can be interpreted differently depending on the rhythm of speech of the…
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury +2
Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has…
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury +2
The success of self-supervised learning (SSL) has mostly been attributed to the availability of unlabeled yet large-scale datasets. However, in a specialized domain such as medical…
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu +2
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the e…
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick, Li Jing, Sayan Nag +4
Vision-language pre-training (VLP) has recently proven highly effective for various uni- and multi-modal downstream applications. However, most existing end-to-end VLP methods use…
Deciphering Environmental Air Pollution with Large Scale City Data
Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh
Air pollution poses a serious threat to sustainable environmental conditions in the 21st century. Its importance in determining the health and living standards in urban settings is…
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
Sayan Nag, Mayukh Bhattacharyya
Activation functions play a pivotal role in determining the training dynamics and neural network performance. The widely adopted activation function ReLU despite being simple and e…
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function
Sayan Nag
Self-supervised learning and pre-training strategieshave developed over the last few years especiallyfor Convolutional Neural Networks (CNNs). Re-cently application of such methods…
A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Sayan Nag, Uddalok Sarkar, Shankha Sanyal +5
It is already known that both auditory and visual stimulus is able to convey emotions in human mind to different extent. The strength or intensity of the emotional arousal vary dep…
Language Independent Emotion Quantification using Non linear Modelling of Speech
Uddalok Sarkar, Sayan Nag, Chirayata Bhattacharya +4
At present emotion extraction from speech is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into consider…
Neural Network architectures to classify emotions in Indian Classical Music
Uddalok Sarkar, Sayan Nag, Medha Basu +4
Music is often considered as the language of emotions. It has long been known to elicit emotions in human being and thus categorizing music based on the type of emotions they induc…
On the stability of equilibria of the physiologically-informed dynamic causal model
Sayan Nag
Experimental manipulations perturb the neuronal activity. This phenomenon is manifested in the fMRI response. Dynamic causal model and its variants can model these neuronal respons…
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images
Sayan Nag
Autoencoders are a class of artificial neural networks which have gained a lot of attention in the recent past. Using the encoder block of an autoencoder the input image can be com…
Speaker Recognition in Bengali Language from Nonlinear Features
Uddalok Sarkar, Soumyadeep Pal, Sayan Nag +5
At present Automatic Speaker Recognition system is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into co…
Acoustical classification of different speech acts using nonlinear methods
Chirayata Bhattacharyya, Sourya Sengupta, Sayan Nag +4
A recitation is a way of combining the words together so that they have a sense of rhythm and thus an emotional content is imbibed within. In this study we envisaged to answer thes…
Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrieval
Mayukh Bhattacharyya, Sayan Nag
Image Retrieval grows to be an integral part of fashion e-commerce ecosystem as it keeps expanding in multitudes. Other than the retrieval of visually similar items, the retrieval…
An Adaptive Genetic Algorithm for Solving N-Queens Problem
Uddalok Sarkar, Sayan Nag
In this paper a Metaheuristic approach for solving the N-Queens Problem is introduced to find the best possible solution in a reasonable amount of time. Genetic Algorithm is used w…
Music of Brain and Music on Brain: A Novel EEG Sonification approach
Sayan Nag, Shankha Sanyal, Archi Banerjee +2
Can we hear the sound of our brain? Is there any technique which can enable us to hear the neuro-electrical impulses originating from the different lobes of brain? The answer to al…
Image Registration Techniques: A Survey
Sayan Nag
Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different t…
Vector Quantization using the Improved Differential Evolution Algorithm for Image Compression
Sayan Nag
Vector Quantization, VQ is a popular image compression technique with a simple decoding architecture and high compression ratio. Codebook designing is the most essential part in Ve…
A Type II Fuzzy Entropy Based Multi-Level Image Thresholding Using Adaptive Plant Propagation Algorithm
Sayan Nag
One of the most straightforward, direct and efficient approaches to Image Segmentation is Image Thresholding. Multi-level Image Thresholding is an essential viewpoint in many image…
Adaptive Plant Propagation Algorithm for Solving Economic Load Dispatch Problem
Sayan Nag
Optimization problems in design engineering are complex by nature, often because of the involvement of critical objective functions accompanied by a number of rigid constraints ass…
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 +4
The term jitter and shimmer has long been used in the domain of speech and acoustic signal analysis as a parameter for speaker identification and other prosodic features. In this s…