1 citations · 1 across the 7 of their papers we have counts for
9 papers
FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing foundation models (RSFMs) are commonly evaluated using aggregate metrics, which can hide systematic performance disparities across ecological regions. We introduce F…
Near-field Ultrafast Nondiffractive Laser Nanoscale Cutting of Glass with Quasi-null Interface Roughness
Rajeev Dwivedi, Anton Rudenko, Guodong Zhang +5
Generally, ultrafast laser glass dicing is governed by explosive material removal, which restricts the achievable surface roughness. Here we report single-step dicing of aluminosil…
Query-Aware Token Budgeting for Efficient Late-Interaction Visual Document Retrieval
PS Rishi, Rajeev Ranjan Dwivedi, Vinod K Kurmi
Late-interaction visual document retrievers preserve fine-grained page evidence by storing many token embeddings per page, but the resulting storage and query-time interaction cost…
AlignJEPA: Predictive Vision-Language Alignment for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing (RS) foundation models provide transferable Earth observation representations across sensors, resolutions, and geographies, yet most remain weakly aligned with natur…
Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization
Abhinav Attri, Rajeev Ranjan Dwivedi, Samiran Das +1
We present HAQAGen, a unified generative model for resolution-invariant NIR-to-RGB colorization that balances chromatic realism with structural fidelity. The proposed model introdu…
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K Kurmi
Accurate segmentation of the optic disc and cup is critical for the early diagnosis and management of ocular diseases such as glaucoma. However, segmentation models trained on one…
Multi Attribute Bias Mitigation via Representation Learning
Rajeev Ranjan Dwivedi, Ankur Kumar, Vinod K Kurmi
Real world images frequently exhibit multiple overlapping biases, including textures, watermarks, gendered makeup, scene object pairings, etc. These biases collectively impair the…
CosFairNet:A Parameter-Space based Approach for Bias Free Learning
Rajeev Ranjan Dwivedi, Priyadarshini Kumari, Vinod K Kurmi
Deep neural networks trained on biased data often inadvertently learn unintended inference rules, particularly when labels are strongly correlated with biased features. Existing bi…
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…