1 citations · 1 across the 9 of their papers we have counts for
10 papers
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…
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…
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI
Taye Akinrele, Sindhuja Penchala, Noorbakhsh Amiri Golilarz +2
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-re…
Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety
Michele Guida, Ruslan Shikhhamzayev, Sindhuja Penchala +4
Large language models (LLMs) can be induced to produce harmful content through multi turn strategies in which no single user message appears clearly unsafe. Existing runtime safegu…
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…
Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition
Gavin Money, Sindhuja Penchala, Jiacheng Li +1
Standard transformer architectures learn fixed slow-weight representations during training and lack mechanisms for rapid adaptation within an episode. In contrast, biological neura…
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 v2: A Multimodal Classifier for Surface Understanding from Touch and Vision
Manish Kansana, Sindhuja Penchala, Shahram Rahimi +1
Multimodal surface material classification plays a critical role in advancing tactile perception for robotic manipulation and interaction. In this paper, we present Surformer v2, a…
Learning in Focus: Detecting Behavioral and Collaborative Engagement Using Vision Transformers
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee +7
In early childhood education, accurately detecting collaborative and behavioral engagement is essential to foster meaningful learning experiences. This paper presents an AI driven…