1 citations · 1 across the 8 of their papers we have counts for
11 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…
CMDO: A Cognitive Memory-Driven Optimization Algorithm for Adaptive Population-Based Search
Mohammed Yusuf Mujawar, Shahram Rahimi, Noorbakhsh Amiri Golilarz
Population-based optimization methods often use previous search information through successful solutions, parameter adaptation, or operator performance, but they rarely retain the…
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…
DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception
Manish Kansana, Mohammed Yusuf Mujawar, Sudip Mittal +2
Robotic perception from a single viewpoint is often limited by self-occlusion and incomplete surface visibility. This paper presents DARP(Dual-Arm Robotic Perception) https://doi.o…
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…
Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2
Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological processes. In ungauged basin…
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…
Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
Noorbakhsh Amiri Golilarz, Hassan S. Al Khatib, Shahram Rahimi
Artificial intelligence has advanced significantly through deep learning, reinforcement learning, and large language and vision models. However, these systems often remain task spe…
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…
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…
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…