1 citations · 2 across the 4 of their papers we have counts for
5 papers
Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Vishal Asnani, Xi Yin, Xiaoming Liu
Adversarial attacks in computer vision exploit the vulnerabilities of machine learning models by introducing subtle perturbations to input data, often leading to incorrect predicti…
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Abhinav Kumar, Yuliang Guo, Xinyu Huang +2
Monocular 3D detectors achieve remarkable performance on cars and smaller objects. However, their performance drops on larger objects, leading to fatal accidents. Some attribute th…
ProMark: Proactive Diffusion Watermarking for Causal Attribution
Vishal Asnani, John Collomosse, Tu Bui +2
Generative AI (GenAI) is transforming creative workflows through the capability to synthesize and manipulate images via high-level prompts. Yet creatives are not well supported to…
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo, Vishal Asnani, Sijia Liu +1
Model Parsing defines the research task of predicting hyperparameters of the generative model (GM), given a generated image as input. Since a diverse set of hyperparameters is join…
PrObeD: Proactive Object Detection Wrapper
Vishal Asnani, Abhinav Kumar, Suya You +1
Previous research in object detection focuses on various tasks, including detecting objects in generic and camouflaged images. These works are regarded as passive works for ob…