3 citations · 11 across the 12 of their papers we have counts for
12 papers
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
Saurabh Saini, Kapil Ahuja, Thomas Wick +1
Optimization is essential in deep learning. The foundational method upon which most optimizers are built is momentum-based stochastic gradient descent. However, it suffers from two…
Accurate Thyroid Cancer Classification using a Novel Binary Pattern Driven Local Discrete Cosine Transform Descriptor
Saurabh Saini, Kapil Ahuja, Marc C. Steinbach +1
In this study, we develop a new CAD system for accurate thyroid cancer classification with emphasis on feature extraction. Prior studies have shown that thyroid texture is importan…
Prototype Guided Backdoor Defense
Venkat Adithya Amula, Sunayana Samavedam, Saurabh Saini +2
Deep learning models are susceptible to {\em backdoor attacks} involving malicious attackers perturbing a small subset of training data with a {\em trigger} to causes misclassifica…
Block-Fused Attention-Driven Adaptively-Pooled ResNet Model for Improved Cervical Cancer Classification
Saurabh Saini, Kapil Ahuja, Akshat S. Chauhan
Cervical cancer is the second most common cancer among women and a leading cause of mortality. Many attempts have been made to develop an effective Computer Aided Diagnosis (CAD) s…
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta, Saurabh Saini, P J Narayanan
Humans use abstract concepts for understanding instead of hard features. Recent interpretability research has focused on human-centered concept explanations of neural networks. Con…
StyleTRF: Stylizing Tensorial Radiance Fields
Rahul Goel, Sirikonda Dhawal, Saurabh Saini +1
Stylized view generation of scenes captured casually using a camera has received much attention recently. The geometry and appearance of the scene are typically captured as neural…
Interactive Segmentation of Radiance Fields
Rahul Goel, Dhawal Sirikonda, Saurabh Saini +1
Radiance Fields (RF) are popular to represent casually-captured scenes for new view synthesis and several applications beyond it. Mixed reality on personal spaces needs understandi…
Learning to Stylize Novel Views
Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini +2
We tackle a 3D scene stylization problem - generating stylized images of a scene from arbitrary novel views given a set of images of the same scene and a reference image of the des…
A Flexible Neural Renderer for Material Visualization
Aakash KT, Parikshit Sakurikar, Saurabh Saini +1
Photo realism in computer generated imagery is crucially dependent on how well an artist is able to recreate real-world materials in the scene. The workflow for material modeling a…
Semantic Hierarchical Priors for Intrinsic Image Decomposition
Saurabh Saini, P. J. Narayanan
Intrinsic Image Decomposition (IID) is a challenging and interesting computer vision problem with various applications in several fields. We present novel semantic priors and an in…
Learning to Hash-tag Videos with Tag2Vec
Aditya Singh, Saurabh Saini, Rajvi Shah +1
User-given tags or labels are valuable resources for semantic understanding of visual media such as images and videos. Recently, a new type of labeling mechanism known as hash-tags…
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips
Aditya Singh, Saurabh Saini, Rajvi Shah +1
Short internet video clips like vines present a significantly wild distribution compared to traditional video datasets. In this paper, we focus on the problem of unsupervised actio…