activity
20202026
most citedGraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

61 citations · 62 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Do Vision Model See Like the Brain? A Comparison Across EEG Encoding Model

Shashank Baghel, Kshitij Dwivedi, Dinesh Singh +1

Convolutional neural networks (CNNs) and vision transformers are both used to model the human visual system, but whether the two architectures diverge at a specific point in networ…

cs.CV2026

Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints

Ravi Shankar Prasad, Naresh Gurjar, Shashank Baghel +2

The state-of-the-art generative models, such as CycleGAN, Pix2Pix, and diffusion models have demonstrated remarkable performance in the face generation task. However, they fail to…

cs.CV2026

SPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport

Ravi Shankar Prasad, Dinesh Singh

Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current meth…

cs.CV2025

Cranio-ID: Graph-Based Craniofacial Identification via Automatic Landmark Annotation in 2D Multi-View X-rays

Ravi Shankar Prasad, Nandani Sharma, Dinesh Singh

In forensic craniofacial identification and in many biomedical applications, craniometric landmarks are important. Traditional methods for locating landmarks are time-consuming and…

cs.CV2025

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction

Ravi Shankar Prasad, Dinesh Singh

Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial ro…

cs.CV2025

Exp-Graph: How Connections Learn Facial Attributes in Graph-based Expression Recognition

Nandani Sharma, Dinesh Singh

Facial expression recognition is crucial for human-computer interaction applications such as face animation, video surveillance, affective computing, medical analysis, etc. Since t…

cs.CV2025

Cross-Domain Identity Representation for Skull to Face Matching with Benchmark DataSet

Ravi Shankar Prasad, Dinesh Singh

Craniofacial reconstruction in forensic science is crucial for the identification of the victims of crimes and disasters. The objective is to map a given skull to its corresponding…

math.OC2021★ 1 cited

Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization

Dinesh Singh, Hardik Tankaria, Makoto Yamada

Second-order optimization methods are among the most widely used optimization approaches for convex optimization problems, and have recently been used to optimize non-convex optimi…

cs.LG2020

FsNet: Feature Selection Network on High-dimensional Biological Data

Dinesh Singh, Héctor Climente-González, Mathis Petrovich +2

Biological data including gene expression data are generally high-dimensional and require efficient, generalizable, and scalable machine-learning methods to discover their complex…

cs.LG2020★ 61 cited

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Qiang Huang, Makoto Yamada, Yuan Tian +3

Graph structured data has wide applicability in various domains such as physics, chemistry, biology, computer vision, and social networks, to name a few. Recently, graph neural net…