Representation in Human and Machine vision

1.Visual Understanding through Quality Assessment and Saliency Detection

a.Video Quality Assessment

b.Image Quality Assessment

c.Saliency

i.Unsupervised Uncertainty Estimation Using Spatiotemporal Cues In Video Saliency Detection

ii.The role of visual saliency in the automation of seismic interpretation

iii.Implicit Saliency in Neural Networks

2.Sensing and Reflection in human and machine vision

a.Introspective Learning in Neural Networks

3.Stochastic Surprisal in Neural Networks

a.Stochastic Surprisal in Neural Networks

4.Human-Machine Uncertainty

a.Tackling Degradation of Machine Confidence by Simulating Human Label Uncertainty