Anurag Mittal

About Anurag Mittal

Anurag Mittal, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Computer Vision, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised Co-Generation of Foreground-Background Segmentation From Text-to-Image Synthesis

MOVESe: MOVablE and Moving LiDAR Scene Segmentation with Improved Navigation in Seg-label free settings

Non-linear motion estimation for video frame interpolation using space-time convolutions

On the role of question encoder sequence model in robust visual question answering

Co-segmentation aided two-stream architecture for video captioning

Co-segmentation inspired attention module for video-based computer vision tasks

Face age progression with attribute manipulation

A gan-based super resolution model for efficient image enhancement in underwater sonar images

Anurag Mittal Information

University

Position

Professor of Computer Science and Engg. INDIA

Citations(all)

5897

Citations(since 2020)

1749

Cited By

4834

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

53

i10Index(since 2020)

31

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Anurag Mittal Skills & Research Interests

Computer Vision

Image Processing

Top articles of Anurag Mittal

Title

Journal

Author(s)

Publication Date

Unsupervised Co-Generation of Foreground-Background Segmentation From Text-to-Image Synthesis

Yeruru Asrar Ahmed

Anurag Mittal

2024

MOVESe: MOVablE and Moving LiDAR Scene Segmentation with Improved Navigation in Seg-label free settings

arXiv preprint arXiv:2306.14812

Prashant Kumar

Onkar Susladkar

Dhruv Makwana

Anurag Mittal

Prem Kumar Kalra

2023/6/26

Non-linear motion estimation for video frame interpolation using space-time convolutions

Saikat Dutta

Arulkumar Subramaniam

Anurag Mittal

2022

On the role of question encoder sequence model in robust visual question answering

Pattern Recognition

KV Gouthaman

Anurag Mittal

2022/11/1

Co-segmentation aided two-stream architecture for video captioning

Jayesh Vaidya

Arulkumar Subramaniam

Anurag Mittal

2022

Co-segmentation inspired attention module for video-based computer vision tasks

Computer Vision and Image Understanding

Arulkumar Subramaniam

Jayesh Vaidya

Muhammed Abdul Majeed Ameen

Athira Nambiar

Anurag Mittal

2022/10/1

Face age progression with attribute manipulation

Sinzith Tatikonda

Athira Nambiar

Anurag Mittal

2022/6/1

A gan-based super resolution model for efficient image enhancement in underwater sonar images

Athira M Nambiar

Anurag Mittal

2022/2/21

Fully depleted devices with slots in active regions

2022/2/1

Efficient space-time video super resolution using low-resolution flow and mask upsampling

Saikat Dutta

Nisarg A Shah

Anurag Mittal

2021

Domain adaptive knowledge distillation for driving scene semantic segmentation

Divya Kothandaraman

Athira Nambiar

Anurag Mittal

2021/1

ReFIn: A refinement approach for video frame interpolation

Saikat Dutta

Anurag Mittal

2021/10/19

On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering

arXiv preprint arXiv:2108.12585

Gouthaman KV

Anurag Mittal

2021/8/28

Linguistically-aware attention for reducing the semantic gap in vision-language tasks

Pattern Recognition

KV Gouthaman

Athira Nambiar

Kancheti Sai Srinivas

Anurag Mittal

2021/4/1

Reducing language biases in visual question answering with visually-grounded question encoder

Gouthaman Kv

Anurag Mittal

2020

High-frequency refinement for sharper video super-resolution

Vikram Singh

Akshay Sharma

Sudharshann Devanathan

Anurag Mittal

2020

Going much wider with deep networks for image super-resolution

Vikram Singh

Keerthan Ramnath

Subrahmanyam Arunachalam

Anurag Mittal

2020/3/4

WDN: a wide and deep network to divide-and-conquer image super-resolution

IEEE Journal of Selected Topics in Signal Processing

Vikram Singh

Anurag Mittal

2020/12/11

Stacked adversarial network for zero-shot sketch based image retrieval

Anubha Pandey

Ashish Mishra

Vinay Kumar Verma

Anurag Mittal

Hema Murthy

2020

MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis

arXiv preprint arXiv:2011.00923

Rahul Chakwate

Arulkumar Subramaniam

Anurag Mittal

2020/11/2

See List of Professors in Anurag Mittal University(Indian Institute of Technology Madras)