5 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models
Simrandeep Singh, Shreya Bansal, Abdulmotaleb El Saddik +1
The rapid advancement of artificial intelligence (AI) has reshaped the field of natural language processing (NLP), with models like OpenAI ChatGPT and DeepSeek AI. Although ChatGPT…
GroMo: Plant Growth Modeling with Multiview Images
Ruchi Bhatt, Shreya Bansal, Amanpreet Chander +5
Understanding plant growth dynamics is essential for applications in agriculture and plant phenotyping. We present the Growth Modelling (GroMo) challenge, which is designed for two…
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani, Chitwan Goel, Shrey Bansal +5
The increasing adoption of Deep Neural Networks (DNNs) has led to their application in many challenging scientific visualization tasks. While advanced DNNs offer impressive general…