Multi-camera schemes can effectively increase the perception range of vision systems
compared to single-camera schemes and are common in many optical applications …

Multi-view pedestrian detection aims to predict a bird's eye view (BEV) occupancy map from
multiple camera views. This task is confronted with two challenges: how to establish the 3D …

This paper compares several new implementations of the YOLO (You Only Look Once)
object detection algorithms in harsh underwater environments. Using a dataset collected by …

Convolutional neural network (CNN) based methods have achieved great success in image
classification and object detection tasks. However, unlike the image classification task …

Recovering object pose in a crowd is a challenging task due to severe occlusions and
clutters. In active scenario, whenever an observer fails to recover the poses of objects from …

Multi-view aggregation promises to overcome the occlusion and missed detection challenge
in multi-object detection and tracking. Recent approaches in multi-view detection and 3D …

Autonomous underwater vehicles (AUVs) have increasingly played a key role in monitoring
the marine environment, studying its physical-chemical parameters for the supervision of …

Generalising vision-based manipulation policies to novel environments remains a
challenging area with limited exploration. Current practices involve collecting data in one …

Occlusion is one of the most challenging problems in single-view pedestrian detection. To
alleviate the occlusion problem, multi-view systems have been exploited to fully acquire and …

In this technical report, we present our findings from the research conducted on the Vast
Vocabulary Visual Detection (V3Det) dataset for Supervised Vast Vocabulary Visual …