1 citations · 1 across the 5 of their papers we have counts for
5 papers
VIZOR: Viewpoint-Invariant Zero-Shot Scene Graph Generation for 3D Scene Reasoning
Vivek Madhavaram, Vartika Sengar, Arkadipta De +1
Scene understanding and reasoning has been a fundamental problem in 3D computer vision, requiring models to identify objects, their properties, and spatial or comparative relations…
SymGS : Leveraging Local Symmetries for 3D Gaussian Splatting Compression
Keshav Gupta, Akshat Sanghvi, Shreyas Reddy Palley +3
3D Gaussian Splatting has emerged as a transformative technique in novel view synthesis, primarily due to its high rendering speed and photorealistic fidelity. However, its memory…
LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs
Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal +1
Temporal Graph Neural Networks (TGNNs) are increasingly used in high-stakes domains, such as financial forecasting, recommendation systems, and fraud detection. However, their susc…
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina, Aaryan Ajay Sharma, Ankit Gangwal +1
The rapid adoption, usefulness, and resource-intensive training of Graph Neural Network (GNN) models have made them an invaluable intellectual property in graph-based machine learn…
Higher Order Structures For Graph Explanations
Akshit Sinha, Sreeram Vennam, Charu Sharma +1
Graph Neural Networks (GNNs) have emerged as powerful tools for learning representations of graph-structured data, demonstrating remarkable performance across various tasks. Recogn…