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20202026
most citedTowards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models

11 citations · 19 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Mohamed Elmoghany, Ryan Rossi, Seunghyun Yoon +26

Despite the significant progress that has been made in video generative models, existing state-of-the-art methods can only produce videos lasting 5-16 seconds, often labeled "long-…

cs.CV2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda +5

Identifying layers within text-to-image models which control visual attributes can facilitate efficient model editing through closed-form updates. Recent work, leveraging causal tr…

cs.CV20217 cited

SelfDoc: Self-Supervised Document Representation Learning

Peizhao Li, Jiuxiang Gu, Jason Kuen +5

We propose SelfDoc, a task-agnostic pre-training framework for document image understanding. Because documents are multimodal and are intended for sequential reading, our framework…

cs.CV20211 cited

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks

Kai Li, Curtis Wigington, Chris Tensmeyer +5

Cross-Domain Detection (XDD) aims to train an object detector using labeled image from a source domain but have good performance in the target domain with only unlabeled images. Ex…

cs.CV2020

Cross-Domain Document Object Detection: Benchmark Suite and Method

Kai Li, Curtis Wigington, Chris Tensmeyer +6

Decomposing images of document pages into high-level semantic regions (e.g., figures, tables, paragraphs), document object detection (DOD) is fundamental for downstream tasks like…