no code implementations • *SEM (NAACL) 2022 • Alessandro Stolfo, Chris Tanner, Vikram Gupta, Mrinmaya Sachan
Labeled data for the task of Coreference Resolution is a scarce resource, requiring significant human effort.
no code implementations • 11 Dec 2022 • Gyanendra Das, Xavier Thomas, Anant Raj, Vikram Gupta
Our approach integrates semantic similarity and uncertainty of both visual and language dimensions in the acquisition function.
no code implementations • 3 Apr 2022 • Rini Sharon, Heet Shah, Debdoot Mukherjee, Vikram Gupta
In this paper, we attempt abuse detection in conversational audio from a multimodal perspective in a multilingual social media setting.
no code implementations • CVPR 2022 • Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha
We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj.
1 code implementation • 16 Feb 2022 • Vikram Gupta, Rini Sharon, Ramit Sawhney, Debdoot Mukherjee
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing.
no code implementations • EMNLP (MRL) 2021 • Vikram Gupta
We perform extensive semi-supervised experiments on SemEval2018 multilabel and multilingual emotion recognition dataset and show performance gains of 6. 2% (Arabic), 3. 8% (Spanish) and 1. 8% (English) over supervised learning with same amount of labelled data (10% of training data).
no code implementations • CVPR 2021 • Vibashan VS, Vikram Gupta, Poojan Oza, Vishwanath A. Sindagi, Vishal M. Patel
Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training.
no code implementations • 22 Nov 2020 • Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta
Inferring the 6DoF pose of an object from a single RGB image is an important but challenging task, especially under heavy occlusion.
Ranked #8 on 6D Pose Estimation using RGB on Occlusion LineMOD
no code implementations • 24 Oct 2020 • Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan
We explore deep clustering of text representations for unsupervised model interpretation and induction of syntax.
no code implementations • 17 Sep 2019 • Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra, Shuaib Ahmed, Arjun Jain
To the best of our knowledge, we are the first to report the results for G-FSL and provide a strong benchmark for future research.
1 code implementation • 14 Sep 2019 • Vikram Gupta, Sai Kumar Dwivedi, Rishabh Dabral, Arjun Jain
Online and Early detection of gestures is crucial for building touchless gesture based interfaces.
1 code implementation • CVPR 2019 • Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
We introduce an out-of-distribution detector that determines whether the video features belong to a seen or unseen action category.
Action Recognition In Videos Out-of-Distribution Detection +2