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20152023
most citedDense and Diverse Capsule Networks: Making the Capsules Learn Better

45 citations · 218 across the 33 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Frequency Aware Face Hallucination Generative Adversarial Network with Semantic Structural Constraint

Shailza Sharma, Abhinav Dhall, Vinay Kumar

In this paper, we address the issue of face hallucination. Most current face hallucination methods rely on two-dimensional facial priors to generate high resolution face images fro…

cs.CV2021

MTGLS: Multi-Task Gaze Estimation with Limited Supervision

Shreya Ghosh, Munawar Hayat, Abhinav Dhall +1

Robust gaze estimation is a challenging task, even for deep CNNs, due to the non-availability of large-scale labeled data. Moreover, gaze annotation is a time-consuming process and…

cs.CV2021★ 16 cited

Automatic Gaze Analysis: A Survey of Deep Learning based Approaches

Shreya Ghosh, Abhinav Dhall, Munawar Hayat +2

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Computer Interaction. Even with notable progress in the last 10 years, automatic gaze a…

cs.CV2021★ 1 cited

Self-Supervised Approach for Facial Movement Based Optical Flow

Muhannad Alkaddour, Usman Tariq, Abhinav Dhall

Computing optical flow is a fundamental problem in computer vision. However, deep learning-based optical flow techniques do not perform well for non-rigid movements such as those f…

cs.CV2021

FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios

Vineet Mehta, Parul Gupta, Ramanathan Subramanian +1

This paper proposes a new DeepFake detector FakeBuster for detecting impostors during video conferencing and manipulated faces on social media. FakeBuster is a standalone deep lear…