Search Results for author: Zeeshan Khan

Found 6 papers, 2 papers with code

FiGCLIP: Fine-Grained CLIP Adaptation via Densely Annotated Videos

no code implementations15 Jan 2024 Darshan Singh S, Zeeshan Khan, Makarand Tapaswi

We use the SRL and verb information to create rule-based detailed captions, making sure they capture most of the visual concepts.

Grounded Video Situation Recognition

no code implementations19 Oct 2022 Zeeshan Khan, C. V. Jawahar, Makarand Tapaswi

Recently, Video Situation Recognition (VidSitu) is framed as a task for structured prediction of multiple events, their relationships, and actions and various verb-role pairs attached to descriptive entities.

Descriptive Structured Prediction +1

DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction

no code implementations10 Oct 2022 Zeeshan Khan, Parth Shettiwar, Mukul Khanna, Shanmuganathan Raman

Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating exposure LDR frames as input, and align the neighbouring frames using optical flow based networks.

Optical Flow Estimation Video Frame Interpolation +3

More Parameters? No Thanks!

1 code implementation Findings (ACL) 2021 Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri, C V Jawahar

We propose a novel adaptation strategy, where we iteratively prune and retrain the redundant parameters of an MNMT to improve bilingual representations while retaining the multilinguality.

Learning Language specific models Machine Translation +1

FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network

1 code implementation24 Dec 2019 Zeeshan Khan, Mukul Khanna, Shanmuganathan Raman

High dynamic range (HDR) image generation from a single exposure low dynamic range (LDR) image has been made possible due to the recent advances in Deep Learning.

Image Generation Image Reconstruction +1

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