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20132023
most citedA Survey on Natural Language Processing for Fake News Detection

276 citations · 2k across the 138 of their papers we have counts for

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Showing 2022 · cs.CVShow all

7 papers · 2 filters

cs.CV2022★ 70 cited

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Weixi Feng, Xuehai He, Tsu-Jui Fu +6

Large-scale diffusion models have achieved state-of-the-art results on text-to-image synthesis (T2I) tasks. Despite their ability to generate high-quality yet creative images, we o…

cs.CV2022★ 3 cited

CPL: Counterfactual Prompt Learning for Vision and Language Models

Xuehai He, Diji Yang, Weixi Feng +7

Prompt tuning is a new few-shot transfer learning technique that only tunes the learnable prompt for pre-trained vision and language models such as CLIP. However, existing prompt t…

cs.CV2022

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation

Tsu-Jui Fu, Licheng Yu, Ning Zhang +4

Generating a video given the first several static frames is challenging as it anticipates reasonable future frames with temporal coherence. Besides video prediction, the ability to…

cs.CV2022

ULN: Towards Underspecified Vision-and-Language Navigation

Weixi Feng, Tsu-Jui Fu, Yujie Lu +1

Vision-and-Language Navigation (VLN) is a task to guide an embodied agent moving to a target position using language instructions. Despite the significant performance improvement,…

cs.CV2022

Anticipating the Unseen Discrepancy for Vision and Language Navigation

Yujie Lu, Huiliang Zhang, Ping Nie +4

Vision-Language Navigation requires the agent to follow natural language instructions to reach a specific target. The large discrepancy between seen and unseen environments makes i…

cs.CV2022★ 6 cited

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

Tsu-Jui Fu, Linjie Li, Zhe Gan +4

Masked visual modeling (MVM) has been recently proven effective for visual pre-training. While similar reconstructive objectives on video inputs (e.g., masked frame modeling) have…

cs.CV2022★ 16 cited

End-to-end Dense Video Captioning as Sequence Generation

Wanrong Zhu, Bo Pang, Ashish V. Thapliyal +2

Dense video captioning aims to identify the events of interest in an input video, and generate descriptive captions for each event. Previous approaches usually follow a two-stage g…