Search Results for author:
Found 9 papers, 7 papers with code
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
This work explores the zero-shot capabilities of foundation models in Visual Question Answering (VQA) tasks.
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality for semantic segmentation using learning-based techniques.
Ranked #14 on
Thermal Image Segmentation
on PST900
Mine Tunnel Exploration using Multiple Quadrupedal Robots
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees of autonomy and agility.
Robotics
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection.
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution.
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
In this paper we propose a convolutional neural network that is designed to upsample a series of sparse range measurements based on the contextual cues gleaned from a high resolution intensity image.
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera.
Robotics
Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements
We present an approach to depth estimation that fuses information from a stereo pair with sparse range measurements derived from a LIDAR sensor or a range camera.
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Homography estimation between multiple aerial images can provide relative pose estimation for collaborative autonomous exploration and monitoring.
Ranked #4 on
Homography Estimation
on S-COCO
