Vinay Kaushik

Orcid: 0000-0001-6729-4857

According to our database1, Vinay Kaushik authored at least 17 papers between 2018 and 2024.

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Bibliography

2024
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon.
CoRR, 2024

Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual Tryon.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Marker-Free Computer Vision for Human Motion Analysis: A Review.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Hierarchical Multi-task Learning via Task Affinity Groupings.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
TARSNet: Topology Aware Root Segmentation Network for plant phenotyping.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

2021
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation.
IEEE Robotics Autom. Lett., October, 2021

MaskMTL: Attribute Prediction in Masked Facial Images with Deep Multitask Learning.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach.
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

2020
Deep feature fusion for self-supervised monocular depth prediction.
CoRR, 2020

Aerial Multi-Object Tracking by Detection Using Deep Association Networks.
Proceedings of the 2020 National Conference on Communications, 2020

Data Adaptive Compressed Sensing using deep neural network for Image recognition.
Proceedings of the 2020 National Conference on Communications, 2020

2019
Fast Hierarchical Depth Map Computation from Stereo.
CoRR, 2019

Data Driven Sensing for Action Recognition Using Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019


UnDispNet: Unsupervised Learning for Multi-Stage Monocular Depth Prediction.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Nrityantar: Pose oblivious Indian classical dance sequence classification system.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018


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