21 citations · 100 across the 21 of their papers we have counts for
22 papers
Offline Text-Independent Writer Identification based on word level data
Vineet Kumar, Suresh Sundaram
This paper proposes a novel scheme to identify the authorship of a document based on handwritten input word images of an individual. Our approach is text-independent and does not p…
Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment
Chaitanyavishnu S. Gadde, Mohitvishnu S. Gadde, Nishant Mohanty +1
The autonomous operation of small quadcopters moving at high speed in an unknown cluttered environment is a challenging task. Current works in the literature formulate it as a Sens…
Confidence Conditioned Knowledge Distillation
Sourav Mishra, Suresh Sundaram
In this paper, a novel confidence conditioned knowledge distillation (CCKD) scheme for transferring the knowledge from a teacher model to a student model is proposed. Existing stat…
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…
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
Nishanth Rao, Suresh Sundaram
Prognostication of vehicle trajectories in unknown environments is intrinsically a challenging and difficult problem to solve. The behavior of such vehicles is highly influenced by…
Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets
B. V. Vidyadhara, Lima Agnel Tony, Mohitvishnu S. Gadde +5
In this paper, we present a novel passive single Degree-of-Freedom (DoF) manipulator design and its integration on an autonomous drone to capture a moving target. The end-effector…
Design Iterations for Passive Aerial Manipulator
Vidyadhara B, Lima Agnel Tony, Mohitvishnu S. Gadde +5
Grabbing a manoeuvring target using drones is a challenging problem. This paper presents the design, development, and prototyping of a novel aerial manipulator for target intercept…
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense
Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
This paper provides a new solution approach to a multi-player perimeter defense game, in which the intruders' team tries to enter the territory, and a team of defenders protects th…
Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation
Sourav Mishra, Suresh Sundaram
Existing methods for distillation do not efficiently utilize the training data. This work presents a novel approach to perform distillation using only a subset of the training data…
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…
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle
Jinraj V Pushpangathan, Harikumar Kandath, Suresh Sundaram +1
This paper proposes a novel Gap Reduced Minimum Error Robust Simultaneous (GRMERS) estimator for resource-constrained Nano Aerial Vehicle (NAV) that enables a single estimator to p…
Meta-Cognition-Based Simple And Effective Approach To Object Detection
Sannidhi P Kumar, Chandan Gautam, Suresh Sundaram
Recently, many researchers have attempted to improve deep learning-based object detection models, both in terms of accuracy and operational speeds. However, frequently, there is a…
Restricted Airspace Protection using Multi-UAV Spatio-TemporalMulti-Task Allocation
Shridhar Velhal, Suresh Sundaram
This paper addresses the problem of restricted airspace protection from invaders using the cooperative multi-UAV system. The objective is to detect and capture the invaders coopera…
CGAP2: Context and gap aware predictive pose framework for early detection of gestures
Nishant Bhattacharya, Suresh Sundaram
With a growing interest in autonomous vehicles' operation, there is an equally increasing need for efficient anticipatory gesture recognition systems for human-vehicle interaction.…
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…
Full Attitude Intelligent Controller Design of a Heliquad under Complete Failure of an Actuator
Eeshan Kulkarni, Suresh Sundaram
In this paper, we design a reliable Heliquad and develop an intelligent controller to handle one actuators complete failure. Heliquad is a multi-copter similar to Quadcopter, with…
Scaffolding Reflection in Reinforcement Learning Framework for Confinement Escape Problem
Nishant Mohanty, Suresh Sundaram
In this paper, a novel Scaffolding Reflection in Reinforcement Learning (SR2L) is proposed for solving the confinement escape problem (CEP). In CEP, an evader's objective is to att…
A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings
Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram +2
This paper presents a novel solution technique for scheduling multi-energy system (MES) in a commercial urban building to perform price-based demand response and reduce energy cost…
Robust simultaneous stabilization and decoupling of unstable adversely coupled uncertain resource constraints plants of a nano air vehicle
Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram
The plants of nano air vehicles (NAVs) are generally unstable, adversely coupled, and uncertain. Besides, the autopilot hardware of a NAV has limited sensing and computational capa…
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights
Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy +1
This paper presents a novel method for information interpretability in an MC-SEFRON classifier. To develop a method to extract knowledge stored in a trained classifier, first, the…
Efficient single input-output layer spiking neural classifier with time-varying weight model
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
This paper presents a supervised learning algorithm, namely, the Synaptic Efficacy Function with Meta-neuron based learning algorithm (SEF-M) for a spiking neural network with a ti…
Embedded Bandits for Large-Scale Black-Box Optimization
Abdullah Al-Dujaili, S. Suresh
Random embedding has been applied with empirical success to large-scale black-box optimization problems with low effective dimensions. This paper proposes the EmbeddedHunter algori…