Chiranjoy Chattopadhyay — accepted AI-conference papers

2026

An Approach Towards Developing Relationally Intelligent Multimodal Framework for Stock Movement Prediction (Student Abstract)

Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay

AAAI 2026technical

The dependency of stock prices on a multitude of factors makes the task of prediction exceedingly challenging. Given the volatile nature of stock data, it is imperative to integrate multiple sources of information to accurately encompass the various factors that influence market trends. To capture t

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2019

Radial Loss for Learning Fine-grained Video Similarity Metric

Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay

ICASSP 2019accepted

In this paper, we propose the Radial Loss which utilizes category and sub-category labels to learn an order-preserving fine-grained video similarity metric. We propose an end-to-end quadlet-based Convolutional Neural Network (CNN) combined with Long Short-term Memory (LSTM) Unit to model video simil…

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