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cs.CV2023
Explaining Deep Face Algorithms through Visualization: A Survey
Thrupthi Ann John, Vineeth N Balasubramanian, C. V. Jawahar
Although current deep models for face tasks surpass human performance on some benchmarks, we do not understand how they work. Thus, we cannot predict how it will react to novel inp…
cs.CV2021
Canonical Saliency Maps: Decoding Deep Face Models
Thrupthi Ann John, Vineeth N Balasubramanian, C V Jawahar
As Deep Neural Network models for face processing tasks approach human-like performance, their deployment in critical applications such as law enforcement and access control has se…
cs.CV2019
Low-Cost Transfer Learning of Face Tasks
Thrupthi Ann John, Isha Dua, Vineeth N Balasubramanian +1
Do we know what the different filters of a face network represent? Can we use this filter information to train other tasks without transfer learning? For instance, can age, head po…