1 code implementation • 19 Apr 2021 • Shivansh Rao, Vikas Kumar, Daniel Kifer, Lee Giles, Ankur Mali
A common approach has been to use standard convolutional networks to predict the corners and boundaries, followed by post-processing to generate the 3D layout.
no code implementations • 6 Aug 2020 • Vikas Kumar, Shivansh Rao, Li Yu
Facial expression recognition from videos in the wild is a challenging task due to the lack of abundant labelled training data.
Ranked #7 on Facial Expression Recognition (FER) on Acted Facial Expressions In The Wild (AFEW) (using extra training data)
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • LREC 2020 • Himanshu Choudhary, Shivansh Rao, Rajesh Rohilla
We proposed a novel NMT model using Multihead self-attention along with pre-trained Byte-Pair-Encoded (BPE) and MultiBPE embeddings to develop an efficient translation system that overcomes the OOV (Out Of Vocabulary) problem for low resourced morphological rich Indian languages which do not have much translation available online.
1 code implementation • 26 Oct 2018 • Shivansh Rao, Tanzila Rahman, Mrigank Rochan, Yang Wang
The goal is to identify a person from videos captured under different cameras.