20 citations · 60 across the 26 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…