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Found 5 papers, 2 papers with code
Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge
To alleviate this problem, we organized a group of non-native English speakers to write summaries of papers presented at a computer vision conference to share the knowledge of the papers read by the group.
Describing and Localizing Multiple Changes with Transformers
Change captioning tasks aim to detect changes in image pairs observed before and after a scene change and generate a natural language description of the changes.
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Obtaining continuous representations of structural data such as directed acyclic graphs (DAGs) has gained attention in machine learning and artificial intelligence.
Automatic Paper Summary Generation from Visual and Textual Information
Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the exponentially increasing number of manuscripts.
Solving Non-identifiable Latent Feature Models
Latent feature models (LFM)s are widely employed for extracting latent structures of data.
