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08/07/2023
ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition
Video Action Recognition (VAR) is a challenging task due to its inherent...
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08/04/2022
TIC: Text-Guided Image Colorization
Image colorization is a well-known problem in computer vision. However, ...
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07/24/2022
TIPS: Text-Induced Pose Synthesis
In computer vision, human pose synthesis and transfer deal with probabil...
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06/06/2022
Scene Aware Person Image Generation through Global Contextual Conditioning
Person image generation is an intriguing yet challenging problem. Howeve...
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02/14/2022
Multi-scale Attention Guided Pose Transfer
Pose transfer refers to the probabilistic image generation of a person w...
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10/17/2021
Attention W-Net: Improved Skip Connections for better Representations
Segmentation of macro and microvascular structures in fundoscopic retina...
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08/20/2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Deep metric learning has been effectively used to learn distance metrics...
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05/06/2021
PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection
Reservoir Computing (RC) offers a viable option to deploy AI algorithms ...
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05/04/2021
Multipath Graph Convolutional Neural Networks
Graph convolution networks have recently garnered a lot of attention for...
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10/23/2020
Position and Rotation Invariant Sign Language Recognition from 3D Point Cloud Data with Recurrent Neural Networks
Sign language is a gesture based symbolic communication medium among spe...
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08/27/2020
A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata
COVID-19 pandemic is severely impacting the lives of billions across the...
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07/15/2020
Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MRI
The success and efficiency of Deep Learning based models for computer vi...
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02/24/2020
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Compressive sensing (CS) is widely used to reduce the image acquisition ...
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10/14/2019
Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
Compressive sensing magnetic resonance imaging (CS-MRI) accelerates the ...
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03/04/2019
STEFANN: Scene Text Editor using Font Adaptive Neural Network
Textual information in a captured scene play important role in scene int...
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08/11/2018
Going Viral: The Epidemiological Strategy of Referral Marketing
By now, Internet word-of-mouth marketing has established its importance ...
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07/26/2018
