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20192022
most citedOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition

8 citations · 17 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV20221 cited

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos

Vikram Gupta, Trisha Mittal, Puneet Mathur +5

We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj. 3MASSIV…

cs.CV20215 cited

MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection

Vibashan VS, Vikram Gupta, Poojan Oza +2

Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training. While these methods achieve reasonable improvements in per…

cs.CV20203 cited

End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints

Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay +1

Inferring the 6DoF pose of an object from a single RGB image is an important but challenging task, especially under heavy occlusion. While recent approaches improve upon the two st…

cs.CV2019

ProtoGAN: Towards Few Shot Learning for Action Recognition

Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra +2

Few-shot learning (FSL) for action recognition is a challenging task of recognizing novel action categories which are represented by few instances in the training data. In a more g…

cs.CV2019

Progression Modelling for Online and Early Gesture Detection

Vikram Gupta, Sai Kumar Dwivedi, Rishabh Dabral +1

Online and Early detection of gestures is crucial for building touchless gesture based interfaces. These interfaces should operate on a stream of video frames instead of the comple…

cs.CV20198 cited

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Devraj Mandal, Sanath Narayan, Saikumar Dwivedi +4

Generalized zero-shot action recognition is a challenging problem, where the task is to recognize new action categories that are unavailable during the training stage, in addition…