activity
20192022
most cited1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

12 citations · 21 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 1 cited

Diversity in Fashion Recommendation using Semantic Parsing

Sagar Verma, Sukhad Anand, Chetan Arora +1

Developing recommendation system for fashion images is challenging due to the inherent ambiguity associated with what criterion a user is looking at. Suggesting multiple images whe…

cs.LG2019★ 1 cited

Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring

Sagar Verma, Shikha Singh, Angshul Majumdar

Increasing population indicates that energy demands need to be managed in the residential sector. Prior studies have reflected that the customers tend to reduce a significant amoun…

cs.AI2019

MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report

Sagar Verma, Richa Verma, P. B. Sujit

In this paper, we consider a territory guarding game involving pursuers, evaders and a target in an environment that contains obstacles. The goal of the evaders is to capture the t…

cs.CV2019

Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data

Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou +2

\begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and en…

cs.CV2019

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos

Sagar Verma, Pravin Nagar, Divam Gupta +1

We focus on first-person action recognition from egocentric videos. Unlike third person domain, researchers have divided first-person actions into two categories: involving hand-ob…

cs.LG2019★ 6 cited

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine

Sagar Verma, Prince Patel, Angshul Majumdar

The possibility of employing restricted Boltzmann machine (RBM) for collaborative filtering has been known for about a decade. However, there has been hardly any work on this topic…