activity
20172022
most citedEdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

15 citations · 47 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022

Effective Self-supervised Pre-training on Low-compute Networks without Distillation

Fuwen Tan, Fatemeh Saleh, Brais Martinez

Despite the impressive progress of self-supervised learning (SSL), its applicability to low-compute networks has received limited attention. Reported performance has trailed behind…

cs.CV2022

iBoot: Image-bootstrapped Self-Supervised Video Representation Learning

Fatemeh Saleh, Fuwen Tan, Adrian Bulat +2

Learning visual representations through self-supervision is an extremely challenging task as the network needs to sieve relevant patterns from spurious distractors without the acti…

cs.CV2022★ 15 cited

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Junting Pan, Adrian Bulat, Fuwen Tan +5

Self-attention based models such as vision transformers (ViTs) have emerged as a very competitive architecture alternative to convolutional neural networks (CNNs) in computer visio…

cs.CV2021

Instance-level Image Retrieval using Reranking Transformers

Fuwen Tan, Jiangbo Yuan, Vicente Ordonez

Instance-level image retrieval is the task of searching in a large database for images that match an object in a query image. To address this task, systems usually rely on a retrie…

cs.LG2020★ 5 cited

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi +1

In this paper we revisit the idea of pseudo-labeling in the context of semi-supervised learning where a learning algorithm has access to a small set of labeled samples and a large…

cs.CV2019★ 13 cited

Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries

Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo +3

This paper explores the task of interactive image retrieval using natural language queries, where a user progressively provides input queries to refine a set of retrieval results.…

cs.CV2018★ 12 cited

Text2Scene: Generating Compositional Scenes from Textual Descriptions

Fuwen Tan, Song Feng, Vicente Ordonez

In this paper, we propose Text2Scene, a model that generates various forms of compositional scene representations from natural language descriptions. Unlike recent works, our metho…

cs.GR2017★ 2 cited

Where and Who? Automatic Semantic-Aware Person Composition

Fuwen Tan, Crispin Bernier, Benjamin Cohen +2

Image compositing is a method used to generate realistic yet fake imagery by inserting contents from one image to another. Previous work in compositing has focused on improving app…