18 citations · 59 across the 7 of their papers we have counts for
12 papers
Online Lifelong Generalized Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Methods proposed in the literature for zero-shot learning (ZSL) are typically suitable for offline learning and cannot continually learn from sequential streaming data. The sequent…
Generative Replay-based Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Zero-shot learning is a new paradigm to classify objects from classes that are not available at training time. Zero-shot learning (ZSL) methods have attracted considerable attentio…
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey +2
We present a meta-learning based generative model for zero-shot learning (ZSL) towards a challenging setting when the number of training examples from each \emph{seen} class is ver…
Generalized Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attracted a lot of attention. ZSL aims to classify unseen classes by transferring the knowledge from seen classe…
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models
Achyut Mani Tripathi, Ashish Mishra
Early identification of COVID-19 using a deep model trained on Chest X-Ray and CT images has gained considerable attention from researchers to speed up the process of identificatio…
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma +2
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume that the data of all the classes are available during training. The assumption may not always be practical sin…
Generative Model for Zero-Shot Sketch-Based Image Retrieval
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra +1
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR) where, at retrieval time, we are given sketches from novel classes, that were not present at training time.…
A Zero-Shot Framework for Sketch-based Image Retrieval
Sasi Kiran Yelamarthi, Shiva Krishna Reddy, Ashish Mishra +1
Sketch-based image retrieval (SBIR) is the task of retrieving images from a natural image database that correspond to a given hand-drawn sketch. Ideally, an SBIR model should learn…
A Generative Approach to Zero-Shot and Few-Shot Action Recognition
Ashish Mishra, Vinay Kumar Verma, M Shiva Krishna Reddy +3
We present a generative framework for zero-shot action recognition where some of the possible action classes do not occur in the training data. Our approach is based on modeling ea…
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra +1
We present a generative framework for generalized zero-shot learning where the training and test classes are not necessarily disjoint. Built upon a variational autoencoder based ar…
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders
Ashish Mishra, M Shiva Krishna Reddy, Anurag Mittal +1
Zero shot learning in Image Classification refers to the setting where images from some novel classes are absent in the training data but other information such as natural language…
Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features
Arulkumar Subramaniam, Vismay Patel, Ashish Mishra +2
We propose a novel approach for First Impressions Recognition in terms of the Big Five personality-traits from short videos. The Big Five personality traits is a model to describe…