Can We Characterize Tasks Without Labels or Features?
CVPR 2021 (Link Pending)
Bram Wallace*, Ziyang Wu* and Bharath Hariharan
We extend task characterization (see Task2Vec) to operate without task labels and pretrained feature extractors respectively.
Extending and Analyzing Self-Supervised Learning Across Domains
Bram Wallace and Bharath Hariharan
In this work we experiment with a variety of self-supervised learning techniques on a broad set of domains to better understand these methods outside of the CIFAR/ImageNet setting where the abundance of labels partially obviates the use of self-supervision.
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
Bram Wallace & Bharath Hariharan
My initial work with my advisor, Dr. Hariharan. In this paper, we present a single-view 3D reconstruction network that can leverage shape information for novel categories without retraining.
Förster resonance energy transfer: Role of diffusion of fluorophore orientation and separation in observed shifts of FRET efficiency
Bram Wallace & Paul Atzberger
My post-undergraduate research, completed partially at UC Santa Barbara. This work uses Monte Carlo simulations to investigate the effect of solution viscosity on FRET transfer efficiency.