activity
20192026
most citedContent-Aware Detection of Temporal Metadata Manipulation

16 citations · 20 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education

Tianyu Shao, Miguel Feijóo-García, Yi Zhang +4

As AI tools such as ChatGPT enter programming classrooms, students encounter differing rules across courses and instructors, which shape how they use AI and leave them with unequal…

cs.CV2021★ 16 cited

Content-Aware Detection of Temporal Metadata Manipulation

Rafael Padilha, Tawfiq Salem, Scott Workman +3

Most pictures shared online are accompanied by temporal metadata (i.e., the day and time they were taken), which makes it possible to associate an image content with real-world eve…

cs.CV2020

Learning a Dynamic Map of Visual Appearance

Tawfiq Salem, Scott Workman, Nathan Jacobs

The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Every day billions of images capture this complex relati…

cs.CV2020

Joint 2D-3D Breast Cancer Classification

Gongbo Liang, Xiaoqin Wang, Yu Zhang +4

Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females. Digital mammograms (DM or 2D mammogram) and digital breast tomosynthesis (DBT or 3D…

cs.CV2020★ 2 cited

Defense-PointNet: Protecting PointNet Against Adversarial Attacks

Yu Zhang, Gongbo Liang, Tawfiq Salem +1

Despite remarkable performance across a broad range of tasks, neural networks have been shown to be vulnerable to adversarial attacks. Many works focus on adversarial attacks and d…

cs.CV2019★ 2 cited

Learning Geo-Temporal Image Features

Menghua Zhai, Tawfiq Salem, Connor Greenwell +3

We propose to implicitly learn to extract geo-temporal image features, which are mid-level features related to when and where an image was captured, by explicitly optimizing for a…

cs.CV2019

Learning to Map Nearly Anything

Tawfiq Salem, Connor Greenwell, Hunter Blanton +1

Looking at the world from above, it is possible to estimate many properties of a given location, including the type of land cover and the expected land use. Historically, such task…

cs.CV2019

Remote Estimation of Free-Flow Speeds

Weilian Song, Tawfiq Salem, Hunter Blanton +1

We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata. The free-flow speed of a road segment is the average observed v…