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20152022
most citedSSD: Single Shot MultiBox Detector

22k citations · 23.9k across the 13 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

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

Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization

Mengmeng Xu, Yanghao Li, Cheng-Yang Fu +3

This paper deals with the problem of localizing objects in image and video datasets from visual exemplars. In particular, we focus on the challenging problem of egocentric visual q…

cs.CV2022★ 65 cited

Token Merging: Your ViT But Faster

Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai +3

We introduce Token Merging (ToMe), a simple method to increase the throughput of existing ViT models without needing to train. ToMe gradually combines similar tokens in a transform…

cs.CV2022★ 2 cited

Hydra Attention: Efficient Attention with Many Heads

Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai +2

While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult. A large reason for this is that self-attention sca…

cs.CV2022★ 4 cited

Negative Frames Matter in Egocentric Visual Query 2D Localization

Mengmeng Xu, Cheng-Yang Fu, Yanghao Li +3

The recently released Ego4D dataset and benchmark significantly scales and diversifies the first-person visual perception data. In Ego4D, the Visual Queries 2D Localization task ai…

cs.CV2022★ 1 cited

End-to-End Visual Editing with a Generatively Pre-Trained Artist

Andrew Brown, Cheng-Yang Fu, Omkar Parkhi +2

We consider the targeted image editing problem: blending a region in a source image with a driver image that specifies the desired change. Differently from prior works, we solve th…