152 citations · 173 across the 8 of their papers we have counts for
11 papers
Reasoning-Guided Grounding: Elevating Video Anomaly Detection through Multimodal Large Language Models
Sakshi Agarwal, Aishik Konwer, Ankit Parag Shah
Video Anomaly Detection (VAD) has traditionally been framed as binary classification or outlier detection, providing neither interpretable reasoning nor precise spatial localizatio…
Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs
Aishik Konwer, Moinak Bhattacharya, Prateek Prasanna
Existing deep learning methods for radiology report generation enhance diagnostic efficiency but often overlook physician-informed medical priors. This leads to a suboptimal alignm…
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer, Zhijian Yang, Erhan Bas +4
Foundational models such as the Segment Anything Model (SAM) are gaining traction in medical imaging segmentation, supporting multiple downstream tasks. However, such models are su…
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer, Xiaoling Hu, Joseph Bae +3
In medical vision, different imaging modalities provide complementary information. However, in practice, not all modalities may be available during inference or even training. Prev…
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu, Joseph Bae +2
Clinical outcome or severity prediction from medical images has largely focused on learning representations from single-timepoint or snapshot scans. It has been shown that disease…
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
Aishik Konwer, Joseph Bae, Gagandeep Singh +5
COVID-19 image analysis has mostly focused on diagnostic tasks using single timepoint scans acquired upon disease presentation or admission. We present a deep learning-based approa…
Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer +1
Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal. Spotting a micro-expression and recognizing it is a m…
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia +4
In this paper, we introduce a novel technique to recover the pen trajectory of offline characters which is a crucial step for handwritten character recognition. Generally, online a…
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee +4
Conversion of one font to another font is very useful in real life applications. In this paper, we propose a Convolutional Recurrent Generative model to solve the word level font t…
Staff line Removal using Generative Adversarial Networks
Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick +4
Staff line removal is a crucial pre-processing step in Optical Music Recognition. It is a challenging task to simultaneously reduce the noise and also retain the quality of music s…
Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network
Ankan Kumar Bhunia, Aishik Konwer, Ayan Kumar Bhunia +3
Script identification plays a significant role in analysing documents and videos. In this paper, we focus on the problem of script identification in scene text images and video scr…