no code implementations • 14 Mar 2024 • Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
Names are essential to both human cognition and vision-language models.
1 code implementation • 6 Mar 2024 • Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang
The voluminous nature of geospatial temporal data from physical monitors and simulation models poses challenges to efficient data access, often resulting in cumbersome temporal selection experiences in web-based data portals.
1 code implementation • 22 Dec 2022 • Haiwen Huang, Andreas Geiger, Dan Zhang
We address the task of open-world class-agnostic object detection, i. e., detecting every object in an image by learning from a limited number of base object classes.
Ranked #1 on
Open World Object Detection
on COCO VOC to non-VOC
no code implementations • 1 Dec 2021 • Haiwen Huang, Joost van Amersfoort, Yarin Gal
Uncertainty estimation is a key component in any deployed machine learning system.
no code implementations • 4 Jun 2021 • Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen Roberts, Yarin Gal
ResNets constrained to be bi-Lipschitz, that is, approximately distance preserving, have been a crucial component of recently proposed techniques for deterministic uncertainty quantification in neural models.
1 code implementation • 30 Nov 2020 • Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu Zhou
Our analysis of the phenomenon reveals why our algorithm works.
Ranked #1 on
Out-of-Distribution Detection
on MS-1M vs. IJB-C
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
2 code implementations • 19 May 2018 • Haiwen Huang, Chang Wang, Bin Dong
NosAdam can be regarded as a fix to the non-convergence issue of Adam in alternative to the recent work of [Reddi et al., 2018].