B.S. Manjunath — accepted AI-conference papers

2026

WRIVINDER: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery

Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Abhay Yadav, Ananth Vishnu Bhaskar, Hardik Prajapati, Cheng Peng +3

CVPR 2026

Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps or when GPS is unreliable. We introduce Wrivinder, a zero-shot, geometry-driven framework that aggregates multiple ground

Cited by 0 Source ↗code ↗Scholar ↗

2024

WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification

Satish Kumar, Bowen Zhang, Chandrakanth Gudavalli, Connor Levenson, Lacey Hughey, Jared A. Stabach +7

CVPR 2024poster

We introduce WildlifeMapper (WM) a flexible model designed to detect locate and identify multiple species in aerial imagery. It addresses the limitations of traditional labor-intensive wildlife population assessments that are central to advancing environmental conservation efforts worldwide. While a…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2020

Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data

Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B.S. Manjunath

IROS 2020poster

Building successful collaboration between humans and robots requires efficient, effective, and natural communication. Here we study a RGB-based deep learning approach for controlling robots through gestures (e.g., "follow me"). To address the challenge of collecting high-quality annotated data from…

Cited by 32 Source ↗Scholar ↗

2016

UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation

Amir M. Rahimi, Raphael Ruschel, B.S. Manjunath

CVPR 2016poster

We present a real-time body orientation estimation in a micro-Unmanned Air Vehicle video stream. This work is part of a fully autonomous UAV system which can maneuver to face a single individual in challenging outdoor environments. Our body orientation estimation consists of the following steps: (a)…

Cited by 12 PDF ↗Scholar ↗

2015

Eye Tracking Assisted Extraction of Attentionally Important Objects From Videos

Karthikeyan Shanmuga Vadivel, Thuyen Ngo, Miguel Eckstein, B.S. Manjunath

CVPR 2015poster

Visual attention is a crucial indicator of the relative importance of objects in visual scenes to human viewers. In this paper, we propose an algorithm to extract objects which attract visual attention from videos. As human attention is naturally biased towards high level semantic objects in visual…

Cited by 67 Source ↗PDF ↗Scholar ↗

2015

Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts

Niloufar Pourian, S. Karthikeyan, B.S. Manjunath

ICCV 2015oral

We present a weakly-supervised approach to semantic segmentation. The goal is to assign pixel-level labels given only partial information, for example, image-level labels. This is an important problem in many application scenarios where it is difficult to get accurate segmentation or not feasible to…

Cited by 60 PDF ↗Scholar ↗