13 citations · 13 across the 5 of their papers we have counts for
5 papers
Improving Domain Adaptation Through Class Aware Frequency Transformation
Vikash Kumar, Himanshu Patil, Rohit Lal +1
In this work, we explore the usage of the Frequency Transformation for reducing the domain shift between the source and target domain (e.g., synthetic image and real image respecti…
Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
Nakul Sharma, Aditay Tripathi, Anirban Chakraborty +1
In this work, we study the task of sketch-guided image inpainting. Unlike the well-explored natural language-guided image inpainting, which excels in capturing semantic details, th…
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak, Inder Khatri, Shubham Randive +2
With the increasing deployment of deep neural networks in safety-critical applications such as self-driving cars, medical imaging, anomaly detection, etc., adversarial robustness h…
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
Aditay Tripathi, Anand Mishra, Anirban Chakraborty
In this work, we investigate the problem of sketch-based object localization on natural images, where given a crude hand-drawn sketch of an object, the goal is to localize all the…
DAD: Data-free Adversarial Defense at Test Time
Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
Deep models are highly susceptible to adversarial attacks. Such attacks are carefully crafted imperceptible noises that can fool the network and can cause severe consequences when…