Publications (22)
Dynamic semantic VSLAM with known and unknown objects
Sanghyoup Gu, Ratnesh Kumar
Traditional Visual Simultaneous Localization and Mapping (VSLAM) systems assume a static environment, which makes them ineffective in highly dynamic settings. To overcome this, man…
Expectation Distance-based Distributional Clustering for Noise-Robustness
Rahmat Adesunkanmi, Ratnesh Kumar
This paper presents a clustering technique that reduces the susceptibility to data noise by learning and clustering the data-distribution and then assigning the data to the cluster…
MPC-based Realtime Power System Control with DNN-based Prediction/Sensitivity-Estimation
Ramij Raja Hossain, Ratnesh Kumar
This paper presents a model predictive control (MPC)-based online real-time adaptive control scheme for emergency voltage control in power systems. Despite tremendous success in va…
NVIDIA Nemotron Nano V2 VL
NVIDIA, :, Amala Sanjay Deshmukh +121
We introduce Nemotron Nano V2 VL, the latest model of the Nemotron vision-language series designed for strong real-world document understanding, long video comprehension, and reaso…
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu +6
Urban traffic optimization using traffic cameras as sensors is driving the need to advance state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow…
Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter
Sanghyoup Gu, Ratnesh Kumar
Recent advances in deep learning have provided new data-driven ways of controller design to replace the traditional manual synthesis and certification approaches. Employing neural…
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield +5
In comparison with person re-identification (ReID), which has been widely studied in the research community, vehicle ReID has received less attention. Vehicle ReID is challenging d…
The 9th AI City Challenge
Zheng Tang, Shuo Wang, David C. Anastasiu +25
The ninth AI City Challenge continues to advance real-world applications of computer vision and AI in transportation, industrial automation, and public safety. The 2025 edition fea…
Synchronous Pre-biasing of Triboelectric Nanogenerator for Enhanced Energy Extraction
Madhav Pathak, Ratnesh Kumar
Triboelectric Nanogenerator (TENG) is a class of ambient mechanical energy harvesters used to augment the battery life of electronic devices such as sensors in implantables, wearab…
"ReLIC: Reduced Logic Inference for Composition" for Quantifier Elimination based Compositional Reasoning and Verification
Hao Ren, Ratnesh Kumar, Matthew Clark
The paper presents our research on quantifier elimination (QE) for compositional reasoning and verification. For compositional reasoning, QE provides the foundation of our approach…
Data-Driven Linear Koopman Embedding for Networked Systems: Model-Predictive Grid Control
Ramij R. Hossain, Rahmat Adesunkanmi, Ratnesh Kumar
This paper presents a data-learned linear Koopman embedding of nonlinear networked dynamics and uses it to enable real-time model predictive emergency voltage control in a power ne…
Dynamic Calibration of Nonlinear Sensors with Time-Drifts and Delays by Bayesian Inference
Soumyabrata Talukder, Souvik Kundu, Ratnesh Kumar
Most sensor calibrations rely on the linearity and steadiness of their response characteristics, but practical sensors are nonlinear, and their response drifts with time, restricti…
Synchronous Inductor Switched Energy Extraction Circuits for Triboelectric Nanogenerator
Madhav Pathak, Ratnesh Kumar
Triboelectric nanogenerator (TENG), a class of mechanical to electrical energy transducers, has emerged as a promising solution to self-power Internet of Things (IoT) sensors, wear…
2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC
Abani Patra, Mary Thomas, Elias Bou-Harb +31
The second annual NSF, OAC CSSI, CyberTraining and related programs PI meeting was held August 12 to 13 in Charlotte, NC, with participation from PIs or representatives of all majo…
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated Sensor Dataset contains 1,000 sequ…
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability
Soumyabrata Talukder, Ratnesh Kumar
Stability certification and identifying a safe and stabilizing initial set are two important concerns in ensuring operational safety, stability, and robustness of dynamical systems…
In Silico Investigations on the Potential Inhibitors for COVID-19 Protease
Ambrish Kumar Srivastava, Abhishek Kumar, Gargi Tiwari +2
A novel strain of coronavirus, namely, COVID-19 has been identified in Wuhan city of China in December 2019. There are no specific therapies available and investigations regarding…
NeuroKoopman Dynamic Causal Discovery
Rahmat Adesunkanmi, Balaji Sesha Srikanth Pokuri, Ratnesh Kumar
In many real-world applications where the system dynamics has an underlying interdependency among its variables (such as power grid, economics, neuroscience, omics networks, enviro…
Distributed-MPC with Data-Driven Estimation of Bus Admittance Matrix in Voltage Control
Ramij R. Hossain, Ratnesh Kumar
This article presents a distributed model-predictive control (MPC) design for real-time voltage control in power systems, including an online method to estimate the bus admittance…
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding
Ratnesh Kumar, Edwin Weill, Farzin Aghdasi +1
In this paper we tackle the problem of vehicle re-identification in a camera network utilizing triplet embeddings. Re-identification is the problem of matching appearances of objec…
A plug-and-play type field-deployable bio-agent free salicylic acid sensing system
Bhuwan Kashyap, Ratnesh Kumar
Salicylic acid (SA) is a primary phytohormone released in response to stress, particularly biotic infections in plants. Monitoring SA levels may provide a way for early disease det…
Radiation Tolerance Characterisation of an Indigenously Developed p-type Silicon Pad Sensor for Forward Calorimetry Applications
Arun Kumar Yadav, Sanjib Muhuri, Anup Kumar Sikdar +7
The study evaluates the radiation tolerance of an indigenously developed p‑type silicon pad sensor for forward calorimetry by irradiating test structures with neutrons up to ~2.5×1…