no code implementations • 11 Nov 2023 • Souradeep Chakraborty, Shujon Naha, Muhammet Bastan, Amit Kumar K C, Dimitris Samaras
Our unsupervised model is a great pre-training initialization for our semi-supervised model SS-CoSOD, especially when very limited labeled data is available for training.
no code implementations • 1 Apr 2020 • Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David J. Crandall
Object part segmentation is an important problem for many applications, but generating the annotations to train a part segmentation model is typically quite labor-intensive.
1 code implementation • CVPR 2020 • Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall
Hand-object pose estimation (HOPE) aims to jointly detect the poses of both a hand and of a held object.
no code implementations • 29 Jun 2018 • Md Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang
In order to address this issue, we also propose Gated Feedback Refinement Network (G-FRNet) that addresses this limitation.
no code implementations • 1 Mar 2017 • Md Amirul Islam, Shujon Naha, Mrigank Rochan, Neil Bruce, Yang Wang
We propose a novel network architecture called the label refinement network that predicts segmentation labels in a coarse-to-fine fashion at several resolutions.