Kranti Kumar Parida

<first_name.last_name>@gmail.com

Biography

I’m currently a Chief Engineer at Samsung R&D Institute India-Bangalore (SRI-B). Previously, I was a Postdoctoral fellow at the University of Bristol, working with Prof. Dima Damen as a part of the EPSRC VisualAI Grant, and a Research Scientist at TensorTour Inc.

I obtained my Ph.D. from the Department of Computer Science and Engineering at Indian Institute of Technology Kanpur advised by Dr. Gaurav Sharma and Prof. Manindra Agarwal. I have completed my Master’s in Medical Imaging and Informatics from Indian Institute of Technology Kharagpur advised by Dr. Rajiv Ranjan Sahay and Prof. Pranab Kumar Dutta.

My research lies at the intersection of computer vision and machine learning, with a particular emphasis on multimodal perception. Specifically, I investigate the integration of audio and visual modalities to advance machine perception across diverse applications. Currently, my work focuses on audio generation conditioned on multimodal inputs, aiming to enhance cross-modal synthesis and representation learning.

News

March, 2026:

1 paper accepted to MULA Workshop, CVPR 2026.

Sep., 2025:

Joined SRI-B as a Chief Engineer.

June, 2025:

1 paper on audio-visual speech denoising accepted to IEEE TMM

Feb., 2025:

1 paper accepted to CVPR 2025

Aug., 2024:

Patent on audio-visual speech denoising accepted

Sep., 2023:

Joined PostDoc at University of Bristol with Prof. Dima Damen

Aug, 2023:

Defended my PhD.

Jan, 2023:

Submitted PhD Thesis

July, 2022:

Outstanding Reviewer @ ICML 2022

May, 2022:

Joined as Research Scientist @ TensorTour Inc.

Mar, 2022:

1 paper accepted to CVIU (Journal) 2022

Feb, 2022:

Serving as a Reviewer for ICML 2022, ICPR 2022

Publications

Segmenting Collision Sound Sources in Egocentric Videos

Kranti Kumar Parida, Omar Emara, Hazel Doughty, Dima Damen

MULA, CVPR 2026

PDF Data Project

Noise Aware Audio-Visual Speech Denoising

Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

IEEE TMM 2026

PDF Project

HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha, Omar Emara, Sam Pollard, Kranti Kumar Parida, Kaiting Liu, Prajwal Gatti, Siddhant Bansal, Kevin Flanagan, Jacob Chalk, Zhifan Zhu, Rhodri Guerrier, Fahd Abdelazim, Bin Zhu, Davide Moltisanti, Michael Wray, Hazel Doughty, Dima Damen,

CVPR 2025

PDF Project Explore Samples Annotations

Discriminative Semantic Transitive Consistency for Cross-Modal Learning

Kranti Kumar Parida, Gaurav Sharma

CVIU 2022

PDF Code Project

Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention

Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

WACV 2022, CVPRW 2021

PDF Code Project

Beyond Image to Depth: Improving Depth Prediction using Echoes

Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

CVPR 2021

PDF Code Project

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features From Multi-Modal Embeddings

Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri

WACV 2021

PDF

Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos

Kranti Kumar Parida, Neeraj Matiyali, Tanaya Guha, Gaurav Sharma

WACV 2020

PDF Code Project

Simultaneous blur map estimation and deblurring of a single space-variantly defocused image

Latha H. Narayan, Kranti Kumar Parida, Rajiv Ranjan Sahay

NCC 2017

PDF BibTeX

                    @inproceedings{narayan2017simultaneous,
                      title={Simultaneous blur map estimation and deblurring of a single space-variantly defocused image},
                      author={Narayan, Latha H and Parida, Kranti K and Sahay, Rajiv R},
                      booktitle={2017 Twenty-third National Conference on Communications (NCC)},
                      pages={1--6},
                      year={2017},
                      organization={IEEE}
                    }

Teaching Experience

IIT Kanpur

ESC101 : Introduction to Programming - Tutor (2019-20 I), with Prof. Piyush Rai
CS771 : Introduction to Machine Learning (2018-19 I), with Prof. Piyush Rai
CS671 : Introduction to Natural Language Processing (2017-18 II), with Prof. Harish Karnick
CS773 : Online Learning and Optimization (2016-17 II), with Prof. Purushottam Kar
ESC101 : Introduction to Programming - TA (2017-18 I, 2018-19 II)