The City College Visual Computing Research Laboratory (CCVCL) is directed by Professor Zhigang Zhu in the Computer Science Department at CCNY. It serves as an experimental environment for both research and education in advanced visual and other media computing. The research activities in the CCVCL primarily focus on the understanding of 3D natural scenes and the events in the scenes from multiple sensor modalities, including visible cameras, thermal sensors, and acoustic sensors. Currently, there are two main research themes in the Lab. The first aspect of the research is three-dimensional scene modeling and rendering from images and videos. The second aspect of the research is human and other subject tracking and human signature extraction from multiple cameras and multimodal sensors. Potential applications of the advanced visual (and other media) computing range across assistive technology, Human-Computer Interaction (HCI), virtual reality, robot/human navigation, aerial/ground surveillance, content-based video coding, surveillance, security and transportation.

News and Announcements

[May 2021 – Now]. AI4IA: Artificial Intelligence for Intelligence Analysis Colloquium Series, part of the IC CAE Center for Critical Intelligence Studies at Rutgers University. 

November 07, 2023. Professor Jie Gong and students, our close collaborators at Rutgers, on multiple projects including the NSF PFI Project SAT-Hub, are in the news for the work on Mapping Rutgers Art Museum.

October 10, 2023. Patent No 11785430 on SYSTEM AND METHOD FOR REAL-TIME INDOOR NAVIGATION issued! US Patent, Application Serial No. 17/399,457; Filed on August 11, 2021; Approved on June 28, 2023; Issued on October 10, 2023.

August 23, 2023. The lab’s spin-off NeARabl has won CIO Applications Magazine “Top Digital Mapping Solution Provider of 2023“. Congratuations to  CIO E’edresha Sturdivant and the entire NeARabl team!

June 23, 2023. Professor Zhigang Zhu and his work on SAT-Hub was featured in The RICC – Research and Innovation at City College,  – Vol III, Issue 6: Advancing Accessibility Through AI.

May 12, 2023. Capstone Team Productify won 1ST PLACE IN ZAHN SOCIAL GOODS AND AUDIENCE CHOICE AWARDS. Congratulations!!

May 11, 2022. Mr Jiawei Liu. Classifying Sidewalk Materials Using Multi-Modal Data. Master Thesis (Advisors: Professor Hao Tang, Professor Zhigang Zhu), Data Science and Engineering, The City College of New York. Congratulations!

February 15, 2023. Nearabl on FuzeHub: After Hitting a Wall, N.Y. Company’s Innovation Finds Footing in Infrastructure.

September 01, 2022. Ms Jin Chen. A Real-Time 3D Object Detection, Recognition and Presentation System on a Mobile Device for Assistive Navigation. Master Thesis (Advisor: Professor Zhigang Zhu), Data Science and Engineering, The City College of New York. Congratulations!

June 01, 2022. Lab Member Hao Nan Ou, a master student in the Data Science and Engineering Program at the City College New York, joined NAVAIR as a Data Scientist. Congratulations!

May 05, 2022. Team Autism Bridge in the Capstone 2021-2022 Cohort won the Zahn Software 1st Prize. Congratulations!

April 25, 2022. Both Team Schedule & Structure and Team ASLNOW in the Capstone 2021-2022 Cohort won the CREATE third prizes. Congratulations!

April 02, 2022. Brilliant news! We’ve just heard from Scientix that the multiple translations of our Futurum article are now available on their website!

February 02, 2022. Our Futurum article on SAT-Hub has been accepted to Scientix, a European repository for STEM related resources, and has been voted one of four winners of The Scientix Translation Service Campaign 3, which took place in January. This campaign invited teachers to vote for their favorite resources in the Scientix repository, in the STEM School Label category “professionalisation of staff.” Scientix will now be translating the article into 36 languages, giving teachers all over the world the opportunity to use the materials. Click here for the resource at Scientix, and check out the news on social media [LinkedIn] [Twitter] [ FaceBook].

January 17, 2022. Lab Member Xingye (Alex) Li, a master student in the Data Science and Engineering Program at the City College New York, joined Lyft as a Software Engineer / Machine Learning Engineer. Congratulations!

January 12,2022. Our SAT-Hub work is featured in The RICC – Research and Innovation at City College, Vol II, Issue 1, January ’22.