activity
20162023
most citedImage Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

39 citations · 40 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 39 cited

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

Divam Gupta

Semantic segmentation plays a vital role in computer vision tasks, enabling precise pixel-level understanding of images. In this paper, we present a comprehensive library for seman…

cs.CV2021

SBEVNet: End-to-End Deep Stereo Layout Estimation

Divam Gupta, Wei Pu, Trenton Tabor +1

Accurate layout estimation is crucial for planning and navigation in robotics applications, such as self-driving. In this paper, we introduce the Stereo Bird's Eye ViewNetwork (SBE…

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★ 1 cited

Multi-task Learning for Target-dependent Sentiment Classification

Divam Gupta, Kushagra Singh, Soumen Chakrabarti +1

Detecting and aggregating sentiments toward people, organizations, and events expressed in unstructured social media have become critical text mining operations. Early systems dete…

cs.LG2018

GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti

In several natural language tasks, labeled sequences are available in separate domains (say, languages), but the goal is to label sequences with mixed domain (such as code-switched…

cs.MM2016

PicHunt: Social Media Image Retrieval for Improved Law Enforcement

Sonal Goel, Niharika Sachdeva, Ponnurangam Kumaraguru +2

First responders are increasingly using social media to identify and reduce crime for well-being and safety of the society. Images shared on social media hurting religious, politic…