5 citations · 13 across the 8 of their papers we have counts for
12 papers
A100: A Hybrid Vision Foundation Model for Agricultural Plant Image Analysis
Mayur Pratim Das, Ajai Dubey, Aksshay Mathew P +5
The use of accurate vision models for crop monitoring, disease diagnosis, and plant phenotyping in agriculture is hindered by the lack of expertly annotated data, especially in dev…
MCLC-NET: Multimodal Continual Learning for Leaf Counting
Ruchi Bhatt, Pratibha Kumari, Shreya Bansal +3
Leaf counting is an important task in plant phenotyping for monitoring plant growth and estimating crop yield. Most existing methods rely on RGB images, but their performance is of…
Evaluating Mesh Reconstruction Methods for Crop Phenotyping
Karanvir Singh, Theo Morales, Binh-Son Hua +1
Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food production. Doing the same for…
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra +2
Audio analysis is useful in many application scenarios. The state-of-the-art audio analysis approaches assume the data distribution at training and deployment time will be the same…
Design of Energy Harvesting based Hardware for IoT Applications
Satyajaswanth Badri, Mukesh Saini, Neeraj Goel
Internet of Things (IoT) devices are rapidly expanding in many areas, including deep mines, space, industrial environments, and health monitoring systems. Most of the sensors and a…
Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing
SatyaJaswanth Badri, Mukesh Saini, Neeraj Goel
Battery-less technology evolved to replace battery usage in space, deep mines, and other environments to reduce cost and pollution. Non-volatile memory (NVM) based processors were…
An Efficient NVM based Architecture for Intermittent Computing under Energy Constraints
SatyaJaswanth Badri, Mukesh Saini, Neeraj Goel
Battery-less technology evolved to replace battery technology. Non-volatile memory (NVM) based processors were explored to store the program state during a power failure. The energ…
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets
Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey +1
Anomaly detection in multimedia datasets is a widely studied area. Yet, the concept drift challenge in data has been ignored or poorly handled by the majority of the anomaly detect…
Efficient Placement and Migration Policies for an STT-RAM based Hybrid L1 Cache for Intermittently Powered Systems
SatyaJaswanth Badri, Mukesh Saini, Neeraj Goel
The number of battery-powered devices is rapidly increasing due to the widespread use of IoT-enabled nodes in various fields. Energy harvesters, which help to power embedded device…
Multimedia Datasets for Anomaly Detection: A Review
Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a wide range of applications expanding from outlier objects/ situation detection to the detecti…
An End-to-End Framework for Dynamic Crime Profiling of Places
Shailendra Kumar Gupta, Shreyanshu Shekhar, Neeraj Goel +1
Much effort is being made to ensure the safety of people. One of the main requirements of travellers and city administrators is to have knowledge of places that are more prone to c…
Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding
Pratibha Kumari, Mukesh Saini
When detecting anomalies in audio, it can often be necessary to consider concept drift: the distribution of the data may drift over time because of dynamically changing environment…