68 citations · 76 across the 26 of their papers we have counts for
10 papers · 1 filter
Can We Anticipate Violence? Multimodal Learning from Pre-Incident Behavioral Cues
Sindhuja Penchala, Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz +2
Detecting violence after it begins is important from recognizing behavioral cues that appear immediately beforehand. This work studies short-horizon pre-incident risk recognition f…
ChildGaze: A Benchmark Dataset for Collaborative Behavior Understanding in Children
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee +7
Understanding collaborative behavior in children is important for analyzing social participation, peer interaction, shared attention, and engagement during play and learning activi…
Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers
Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz
Vision Transformers provide strong visual representations but typically rely on slowly updated parameters, limiting their ability to organize newly acquired information across diff…
Seeing Through Extreme Visual Sparsity: Surface Understanding from a Single Random Visual Patch
Sindhuja Penchala, Sudip Mittal, Noorbakhsh Amiri Golilarz
Surface material recognition from incomplete visual observations remains a challenging problem in robotic perception and environmental understanding. This paper discusses Sparse Su…
Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning
Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz
Few-shot image recognition requires models to adapt to new classes from a small labeled support set. Hebbian fast-weight memory can provide temporary associative information during…
From Convolution to Transformer: A Comparative Study of U-Net Variants for Brain Tumor and Retinal Vessel Segmentation
Khoa Pham, Sindhuja Penchala, Jiacheng Li +2
Medical image segmentation plays an important role in computer aided diagnosis, treatment planning, and disease monitoring. U-Net has been widely used for biomedical image segmenta…
One Patch is All You Need: Joint Surface Material Reconstruction and Classification from Minimal Visual Cues
Sindhuja Penchala, Gavin Money, Gabriel Marques +5
Understanding material surfaces from sparse visual cues is critical for applications in robotics, simulation, and material perception. However, most existing methods rely on dense…
Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features
Manish Kansana, Elias Hossain, Shahram Rahimi +1
Surface material recognition is a key component in robotic perception and physical interaction, particularly when leveraging both tactile and visual sensory inputs. In this work, w…
Edge-Based Learning for Improved Classification Under Adversarial Noise
Manish Kansana, Keyan Alexander Rahimi, Elias Hossain +2
Adversarial noise introduces small perturbations in images, misleading deep learning models into misclassification and significantly impacting recognition accuracy. In this study,…
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari, Khaled R. Ahmed, Shahram Rahimi +1
This research addresses a critical challenge in the field of generative models, particularly in the generation and evaluation of synthetic images. Given the inherent complexity of…