Learning Hand-Held Object Reconstruction from In-The-Wild Videos

no code implementations • 4 May 2023 • Aditya Prakash, Matthew Chang, Matthew Jin, Saurabh Gupta

Prior works for reconstructing hand-held objects from a single image rely on direct 3D shape supervision which is challenging to gather in real world at scale.

Object Object Reconstruction

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

1 code implementation • 1 Jan 2023 • Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik C. Johnson, Eva L. Dyer

To bridge this gap, we introduce a new dataset, annotations, and multiple downstream tasks that provide diverse ways to readout information about brain structure and architecture from the same image.

Attribute Semantic Segmentation

Learning to Reduce False Positives in Analytic Bug Detectors

no code implementations • 8 Mar 2022 • Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan

Due to increasingly complex software design and rapid iterative development, code defects and security vulnerabilities are prevalent in modern software.