2 citations · 2 across the 6 of their papers we have counts for
6 papers
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari +3
There has been abundant work in unsupervised domain adaptation for semantic segmentation (DAS) seeking to adapt a model trained on images from a labeled source domain to an unlabel…
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
Using multiple spatial modalities has been proven helpful in improving semantic segmentation performance. However, there are several real-world challenges that have yet to be addre…
Performance degradation of ImageNet trained models by simple image transformations
Harsh Maheshwari
ImageNet trained PyTorch models are generally preferred as the off-the-shelf models for direct use or for initialisation in most computer vision tasks. In this paper, we simply tes…
An Application to Generate Style Guided Compatible Outfit
Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad1 +4
Fashion recommendation has witnessed a phenomenal growth of research, particularly in the domains of shop-the-look, contextaware outfit creation, personalizing outfit creation etc.…
Recommendation of Compatible Outfits Conditioned on Style
Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari +3
Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation,…
Audience Creation for Consumables -- Simple and Scalable Precision Merchandising for a Growing Marketplace
Shreyas S, Harsh Maheshwari, Avijit Saha +6
Consumable categories, such as grocery and fast-moving consumer goods, are quintessential to the growth of e-commerce marketplaces in developing countries. In this work, we present…