1 citations · 1 across the 10 of their papers we have counts for
12 papers
Beyond OCR Accuracy: Text-Centric VQA Under Image Degradation with Modular and End-to-End
Ritali Vatsi, Rachapudi Jagadeesh, Shruti Singh Baghel +3
Text-centric Visual Question Answering (VQA) requires reading and reasoning over text embedded in images, a task made substantially harder when images suffer from real-world degrad…
SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability
Ramakrishna Vamsi Setti, Jagadeesh Rachapudi, Sachin Chaudhary +2
Large language models (LLMs) achieve impressive performance when a task is fully specified in a single turn, yet the same models lose up to 39% of that performance when the identic…
Low Light Image Enhancement Challenge at NTIRE 2026
George Ciubotariu, Sharif S M A, Abdur Rehman +90
This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this cha…
The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview
Zheng Chen, Kai Liu, Jingkai Wang +150
This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…
BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models
Jagadeesh Rachapudi, Ritali Vatsi, Pranav Singh +2
In recent trends, one can observe Large Language Models (LLMs) are exposed to backdoor attacks where vicious triggers added during training or model editing to elicit harmful outpu…
RePAIR: Interactive Machine Unlearning through Prompt-Aware Model Repair
Jagadeesh Rachapudi, Pranav Singh, Ritali Vatsi +2
Large language models (LLMs) inherently absorb harmful knowledge, misinformation, and personal data during pretraining on large-scale web corpora, with no native mechanism for sele…
BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning
Jagadeesh Rachapudi, Ritali Vatsi, Praful Hambarde +1
Recent advances in deep learning underscore the need for systems that can not only acquire new knowledge through Continual Learning (CL) but also remove outdated, sensitive, or pri…
NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild
Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51
This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…
GRAD-Former: Gated Robust Attention-based Differential Transformer for Change Detection
Durgesh Ameta, Ujjwal Mishra, Praful Hambarde +1
Change detection (CD) in remote sensing aims to identify semantic differences between satellite images captured at different times. While deep learning has significantly advanced t…
Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging
Ujjwal Mishra, Vinita Shukla, Praful Hambarde +1
Adapting Vision Language Segmentation Models (VLSMs) to medical imaging domains requires significant computational overhead when using conventional fine-tuning approaches. Existing…
Towards Blind and Low-Vision Accessibility of Lightweight VLMs and Custom LLM-Evals
Shruti Singh Baghel, Yash Pratap Singh Rathore, Sushovan Jena +4
Large Vision-Language Models (VLMs) excel at understanding and generating video descriptions but their high memory, computation, and deployment demands hinder practical use particu…
Predicting Missing Light Curves of Gamma-Ray Bursts with Bidirectional-LSTM: An Approach for Enhanced Analysis
S. Sourav, A. Shukla, R. Dwivedi +1
Gamma-ray bursts (GRB) are powerful transient events that emit a large output of gamma rays within a few seconds. Studying these short bursts is vital for cosmological research sin…