no code implementations • 8 Oct 2023 • Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister
Objects with complex structures pose significant challenges to existing instance segmentation methods that rely on boundary or affinity maps, which are vulnerable to small errors around contacting pixels that cause noticeable connectivity change.
no code implementations • 23 Oct 2021 • Aarush Gupta, Shikhar Ahuja
The VGG-16 and VGG-19 models experience relative error reductions of 9. 5% and 10. 7% on CIFAR-10, respectively, after the substitution of ReLU with PVLU.
1 code implementation • Medical Image Computing and Computer Assisted Intervention 2020 • Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff Lichtman, Hanspeter Pfister
On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances.
Ranked #2 on 3D Instance Segmentation on MitoEM (AP75-R-Test metric)
1 code implementation • 9 Jul 2018 • Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
In this paper we propose a new approach for classifying the global emotion of images containing groups of people.