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20172026
most citedProbabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

37 citations · 129 across the 31 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions

Jiaxiang Jiang, Mahesh Subedar, Omesh Tickoo

Long-tailed class distributions are pervasive in multi-class medical datasets and pose significant challenges for deep learning models which typically underperform on tail classes…

cs.CV2025

Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human Skeleton

Tianyi Shen, Huijuan Xu, Nilesh Ahuja +3

Skeleton action recognition involves recognizing human action from human skeletons. The use of graph convolutional networks (GCNs) has driven major advances in this recognition tas…

cs.CV2025

Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation

Shu Zhao, Tianyi Shen, Nilesh Ahuja +2

Multimodal Retrieval-Augmented Generation (MRAG) has emerged as a promising method to generate factual and up-to-date responses of Multimodal Large Language Models (MLLMs) by incor…

cs.CV2022

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization

Neslihan Kose, Ranganath Krishnan, Akash Dhamasia +2

Reliable uncertainty quantification in deep neural networks is very crucial in safety-critical applications such as automated driving for trustworthy and informed decision-making.…

cs.CV2022★ 1 cited

FRE: A Fast Method For Anomaly Detection And Segmentation

Ibrahima Ndiour, Nilesh Ahuja, Utku Genc +1

This paper presents a fast and principled approach for solving the visual anomaly detection and segmentation problem. In this setup, we have access to only anomaly-free training da…

cs.CV2021

Partially-Supervised Novel Object Captioning Leveraging Context from Paired Data

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

In this paper, we propose an approach to improve image captioning solution for images with novel objects that do not have caption labels in the training dataset. We refer to our ap…

cs.CV2019

Real-time Approximate Bayesian Computation for Scene Understanding

Javier Felip, Nilesh Ahuja, David Gómez-Gutiérrez +2

Consider scene understanding problems such as predicting where a person is probably reaching, or inferring the pose of 3D objects from depth images, or inferring the probable stree…

cs.CV2017

A Greedy Part Assignment Algorithm for Real-time Multi-person 2D Pose Estimation

Srenivas Varadarajan, Parual Datta, Omesh Tickoo

Human pose-estimation in a multi-person image involves detection of various body parts and grouping them into individual person clusters. While the former task is challenging due t…