10 citations · 46 across the 14 of their papers we have counts for
21 papers
OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy
We propose a novel deep learning framework based on Vision Transformers (ViT) for one-class classification. The core idea is to use zero-centered Gaussian noise as a pseudo-negativ…
ASOC: Adaptive Self-aware Object Co-localization
Koteswar Rao Jerripothula, Prerana Mukherjee
The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem. Most related existing wor…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…
Hater-O-Genius Aggression Classification using Capsule Networks
Parth Patwa, Srinivas PYKL, Amitava Das +2
Contending hate speech in social media is one of the most challenging social problems of our time. There are various types of anti-social behavior in social media. Foremost of them…
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments
Ronak Gupta, Prerana Mukherjee, Brejesh Lall +1
Monument classification can be performed on the basis of their appearance and shape from coarse to fine categories. Although there is much semantic information present in the monum…
Attentional networks for music generation
Gullapalli Keerti, A N Vaishnavi, Prerana Mukherjee +3
Realistic music generation has always remained as a challenging problem as it may lack structure or rationality. In this work, we propose a deep learning based music generation met…