39 citations · 139 across the 47 of their papers we have counts for
11 papers · 1 filter
Data InStance Prior (DISP) in Generative Adversarial Networks
Puneet Mangla, Nupur Kumari, Mayank Singh +2
Recent advances in generative adversarial networks (GANs) have shown remarkable progress in generating high-quality images. However, this gain in performance depends on the availab…
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Madhur Panwar, Shashank Shailabh, Milan Aggarwal +1
Topic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, most existing neural models either take documen…
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Parth Patel, Nupur Kumari, Mayank Singh +1
Generative Adversarial Networks (GANs) coupled with self-supervised tasks have shown promising results in unconditional and semi-supervised image generation. We propose a self-supe…
SHERLock: Self-Supervised Hierarchical Event Representation Learning
Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri +5
Temporal event representations are an essential aspect of learning among humans. They allow for succinct encoding of the experiences we have through a variety of sensory inputs. Al…
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval
Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla +3
The ability to efficiently search for images is essential for improving the user experiences across various products. Incorporating user feedback, via multi-modal inputs, to naviga…
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Surgan Jandial, Ayush Chopra, Mausoom Sarkar +3
Deep neural networks (DNNs) are powerful learning machines that have enabled breakthroughs in several domains. In this work, we introduce a new retrospective loss to improve the tr…
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra +1
Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small set of (support) image-mask pairs. Recent deep…
Exploring Neural Models for Parsing Natural Language into First-Order Logic
Hrituraj Singh, Milan Aggrawal, Balaji Krishnamurthy
Semantic parsing is the task of obtaining machine-interpretable representations from natural language text. We consider one such formal representation - First-Order Logic (FOL) and…
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha +4
In social dilemma situations, individual rationality leads to sub-optimal group outcomes. Several human engagements can be modeled as a sequential (multi-step) social dilemmas. How…
ShapeVis: High-dimensional Data Visualization at Scale
Nupur Kumari, Siddarth R., Akash Rupela +2
We present ShapeVis, a scalable visualization technique for point cloud data inspired from topological data analysis. Our method captures the underlying geometric and topological s…
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
Surgan Jandial, Ayush Chopra, Kumar Ayush +3
Image-based virtual try-on for fashion has gained considerable attention recently. The task requires trying on a clothing item on a target model image. An efficient framework for t…