SiLK -- Simple Learned Keypoints

Pierre Gleize, Weiyao Wang, Matt Feiszli

ArXiv

[pre-print] [code]

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision

Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran

ArXiv

[pre-print] [website][code (coming!)]

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

Hao Tang, Kevin J Liang, Matt Feiszli*, Weiyao Wang*

ArXiv

[pre-print] [release][code]

Open-world instance segmentation: Exploiting Pseudo Ground Truth Learned From Pairwise Affinity

Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran

CVPR 2022

[pre-print] [website][code]

Unidentified Video Objects: A benchmark for dense, open-world segmentation

Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran

ICCV 2021

[pre-print] [video] [website]

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Mike (Zheng) Shou, Stan (Weixian) Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli

ICCV 2021

[pre-print] [website]

What makes training multi-modal classification networks hard?

Weiyao Wang, Du Tran, Matt Feiszli

CVPR 2020

[paper] 

Stabilized SVRG: Simple variance reduction for nonconvex optimization

Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang (alphabetical order)

COLT 2019

[paper] 

Understanding Operator Reed-Muller Codes Through the Weyl Transform

Weiyao Wang, Robert Calderbank 

Math Senior Thesis

[paper] [presentation] 

A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models

Ashirbani Saha, Michael R Harowicz, Weiyao Wang, Maciej A Mazurowski

Journal of cancer research and clinical oncology, 2018