Aaron Sun

I'm a PhD Student at UMass Amherst studying Computer Vision under Subhransu Maji, currently focusing on improving identity-preserving generation for scientific accuracy on fine-grained domains.

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Research

We introduce the NABirds Look-Alikes (NABLA) dataset, a dataset for identity-preserving generation for birds, and show how training on proxy identity pairs improves performance on seen and unseen species.

We introduce the L48 Spectrogram dataset, a fine-grained, real-world benchmark for SPML learning, and propose a new regularization method which improves existing techniques.

We present a method of task representation using box embeddings and demonstrate how they are able to capture asymmetric relationships between tasks and generalize to unseen tasks.

We present a representation learning framework using CNNs and 3D volumetric representations for predicting adsorption in zeolites.

We present a set of metrics that utilize vision priors to effectively assess the performance of saliency methods on image classification tasks.