Jersey City, NJ, United States of America

Asim Kadav

This inventor holds 33 USPTO granted patents and 8 published patent applications, primarily in Machine Learning. Top assignees: Nec Corporation, Tonal Systems, Inc., Nec C Orporation. Active years: 2018-2025.

USPTO Granted Patents = 33 

% Patents Active = 100.0

Average Co-Inventor Count = 2.9

ph-index = 3

Forward Citations = 39(Granted Patents)


Location History:

  • Franklin Park, NJ (US) (2018)
  • Plainsboro, NJ (US) (2019 - 2020)
  • Jersey City, NJ (US) (2019 - 2023)
  • Mountain View, CA (US) (2022 - 2023)

Company Filing History:


Years Active: 2018-2025

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Areas of Expertise:
Multimodal Learning
Action Recognition
Video Reasoning
Pose Tracking
Data Augmentation
Convolutional Neural Networks
Sparse-Reduce Communication
Cross-Modal Entailment
Data Parallelism
Exercise Guidance
Spatio-Temporal Reasoning
Keypoint Localization
33 patents (USPTO):Explore Patents

Title: Asim Kadav: Innovator in Action Localization and Multi-Camera Tracking

Introduction

Asim Kadav is a prominent inventor based in Jersey City, NJ, with an impressive portfolio of 27 patents. His innovative contributions primarily focus on the fields of action localization and multi-camera tracking systems. His work is pivotal in enhancing surveillance technology and improving the accuracy of object and action recognition in complex environments.

Latest Patents

Asim Kadav's latest patents showcase his expertise in advanced technology solutions. One of his key innovations is titled "Keypoint Based Action Localization." This computer-implemented method converts video frames into person keypoints and object keypoints. It effectively embeds position, timestamp, instance, and type information with these keypoints, allowing a hierarchical transformer encoder to predict human actions and the bounding box information of when and where these actions occur.

Another significant patent is "Semi-Automatic Data Collection and Association for Multi-Camera Tracking." This surveillance system can detect and track individuals both locally for each camera input video stream and globally across overlapping camera views. It assigns local and global track IDs to ensure consistent tracking of individuals as they move across different camera perspectives, ultimately creating a robust multi-camera tracker.

Career Highlights

Throughout his career, Asim Kadav has worked with reputable companies, including NEC Corporation and Tonal Systems, Inc. His innovative contributions at these organizations have propelled advancements in video analytics and tracking technologies, further establishing him as a key player in the field.

Collaborations

In his career, Asim has collaborated with talented professionals such as Hans Peter Graf and Erik Kruus. Their collective expertise has fostered a creative environment that encourages technological advancements and innovation in their projects.

Conclusion

Asim Kadav continues to push the boundaries of innovation through his groundbreaking patents and collaborations. His work not only enhances surveillance systems but also contributes to the broader field of computer vision and action recognition, solidifying his status as an influential inventor in modern technology.

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