Reconstructing 3D Humans From Visual Data
Announcing the Final Examination of Ce Zheng for the degree of Doctor of Philosophy in Computer Science
Toward Real-world Cross-view Image Geo-localization
Announcing the Final Examination of Sijie Zhu for the degree of Doctor of Philosophy in Computer Science
Visual Question Answering: Trade-Offs Between Task Accuracy and Explainability
Announcing the Final Examination of Aisha Urooj Khan for the degree of Doctor of Philosophy in Computer Science
Capsule Networks for Video Understanding
Announcing the Final Examination of Kevin Duarte for the degree of Doctor of Philosophy in Computer Science
Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching
Announcing the Final Examination of Krishna Regmi for the degree of Doctor of Philosophy in Computer Science
UCF Master in Computer Vision Virtual Open House
Join us to learn more about UCF’s exciting new Computer Vision Masters Program on Tuesday, March 30 at 5:30pm! Register Here The Master of Science in Computer Vision (MSCV) Program aims to provide technical skills and domain knowledge to the future professionals who seek to acquire expertise in Computer Vision and its related areas. This […]
Adaptive and Efficient Deep Neural Networks for Edge Computing
Dr. Chen Chen University of North Carolina at Charlotte Thursday, March 25, 2021 11:00AM – 12:00PM – Zoom Abstract Existing deep networks are mostly static – they can only run at a specific resource budget. In real applications, the resource constraints (e.g., computation and memory) are always changing with many conditions such as battery and […]
From Saliency to Camouflage Analysis
Dr. Tam Nguyen University of Dayton Tuesday, March 23, 2021 11:00AM – 12:00PM – Zoom Abstract This talk will introduce two research directions, salient object detection and camouflaged object segmentation. In the first part of the talk, I will introduce a novel framework for salient object detection. Here, salient object detection aims to detect the […]
Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning
Mr. Kaidi Xu Northeastern University Monday, March 15, 2021 3:00PM – 4:00PM – Zoom Abstract Deep learning has achieved extraordinary performance in many application domains recently. It has been well accepted that Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, which raises concerns of DNNs in securitycritical applications and may result in disastrous consequences. […]