8 citations · 13 across the 3 of their papers we have counts for
9 papers
Journalistic Guidelines Aware News Image Captioning
Xuewen Yang, Svebor Karaman, Joel Tetreault +1
The task of news article image captioning aims to generate descriptive and informative captions for news article images. Unlike conventional image captions that simply describe the…
Weakly Supervised Visual Semantic Parsing
Alireza Zareian, Svebor Karaman, Shih-Fu Chang
Scene Graph Generation (SGG) aims to extract entities, predicates and their semantic structure from images, enabling deep understanding of visual content, with many applications su…
Bridging Knowledge Graphs to Generate Scene Graphs
Alireza Zareian, Svebor Karaman, Shih-Fu Chang
Scene graphs are powerful representations that parse images into their abstract semantic elements, i.e., objects and their interactions, which facilitates visual comprehension and…
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition
Shiyuan Huang, Xudong Lin, Svebor Karaman +1
Two-stream networks have achieved great success in video recognition. A two-stream network combines a spatial stream of RGB frames and a temporal stream of Optical Flow to make pre…
Detecting and Simulating Artifacts in GAN Fake Images
Xu Zhang, Svebor Karaman, Shih-Fu Chang
To detect GAN generated images, conventional supervised machine learning algorithms require collection of a number of real and fake images from the targeted GAN model. However, the…
Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval
Svebor Karaman, Xudong Lin, Xuefeng Hu +1
We propose an unsupervised hashing method which aims to produce binary codes that preserve the ranking induced by a real-valued representation. Such compact hash codes enable the c…