no code implementations • 15 Feb 2020 • Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya
To tackle this problem for training the network, we make use of a pose estimation dataset, MS-COCO, and employ unsupervised adversarial instance-level domain adaptation for estimating the entire pose of occluded pedestrians.
no code implementations • CVPR 2019 • Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
Handwritten Word Recognition and Spotting is a challenging field dealing with handwritten text possessing irregular and complex shapes.
no code implementations • 4 Nov 2018 • Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy
In the next stage, a second network gathers the multi-scale feature representations from the TSN's intermediate layers using channel-wise attention, combines them in a progressive manner to a dense continuous representation which is finally converted into a binary hash code with the help of individual and pairwise label information.
2 code implementations • 31 Oct 2018 • Perla Sai Raj Kishore, Ayan Kumar Bhunia, Shuvozit Ghose, Partha Pratim Roy
We use Global Context Aggregation (GCA) and a modified Region Proposal Network (RPN) with adaptive convolutions to generate thumbnails in real time.