Computer Vision

Probabilistic Object Detection: Strenghts, Weaknesses, and Opportunities

This work surveys recent work in the very nascent field of probabilistic detection and pesents insights and promising avenues for future research in this area.

Viewpoint Invariant Junction Recognition using Deep Network Ensembles

This work introduces and formalises the problem of recognising intersections from drastically different viewpoints to enable place recognition for SLAM using a siamese convolutional recurrent architecture trained to classify pairs of short video streams.

Geometric Consistency for Self-Supervised End-to-End Visual Odometry

CTCNet proposed using the compositional property of transformations to self-supervise learning of visual odometry from images.