Haoqi Fan | DeepAI

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Yi Yang
329 publications
Alan Yuille
192 publications
Xiao Wang
144 publications
Jitendra Malik
139 publications
Kristen Grauman
102 publications
Meng Li
82 publications
Armand Joulin
70 publications
Yuandong Tian
69 publications
Ross Girshick
67 publications
Lorenzo Torresani
61 publications
Yingyan Lin
57 publications

∙ 06/01/2023

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

Modern hierarchical vision transformers have added several vision-specif...

0 Chaitanya Ryali, et al. ∙

∙ 04/06/2023

Diffusion Models as Masked Autoencoders

There has been a longstanding belief that generation can facilitate a tr...

0 Chen Wei, et al. ∙

∙ 03/23/2023

The effectiveness of MAE pre-pretraining for billion-scale pretraining

This paper revisits the standard pretrain-then-finetune paradigm used in...

0 Mannat Singh, et al. ∙

∙ 12/15/2022

MAViL: Masked Audio-Video Learners

We present Masked Audio-Video Learners (MAViL) to train audio-visual rep...

0 Po-Yao Huang, et al. ∙

∙ 12/01/2022

Scaling Language-Image Pre-training via Masking

We present Fast Language-Image Pre-training (FLIP), a simple and more ef...

0 Yanghao Li, et al. ∙

∙ 11/18/2022

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference

Vision Transformers (ViTs) have shown impressive performance but still r...

0 Haoran You, et al. ∙

∙ 05/18/2022

Masked Autoencoders As Spatiotemporal Learners

This paper studies a conceptually simple extension of Masked Autoencoder...

0 Christoph Feichtenhofer, et al. ∙

∙ 04/01/2022

On the Importance of Asymmetry for Siamese Representation Learning

Many recent self-supervised frameworks for visual representation learnin...

5 Xiao Wang, et al. ∙

∙ 03/29/2022

Unified Transformer Tracker for Object Tracking

As an important area in computer vision, object tracking has formed two ...

22 Fan Ma, et al. ∙

∙ 01/20/2022

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

While today's video recognition systems parse snapshots or short clips a...

10 Chao-Yuan Wu, et al. ∙

∙ 12/16/2021

Masked Feature Prediction for Self-Supervised Visual Pre-Training

We present Masked Feature Prediction (MaskFeat) for self-supervised pre-...

37 Chen Wei, et al. ∙

∙ 12/02/2021

Improved Multiscale Vision Transformers for Classification and Detection

In this paper, we study Multiscale Vision Transformers (MViT) as a unifi...

21 Yanghao Li, et al. ∙

∙ 11/18/2021

PyTorchVideo: A Deep Learning Library for Video Understanding

We introduce PyTorchVideo, an open-source deep-learning library that pro...

295 Haoqi Fan, et al. ∙

∙ 04/29/2021

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

We present a large-scale study on unsupervised spatiotemporal representa...

0 Christoph Feichtenhofer, et al. ∙

∙ 04/22/2021

Multiscale Vision Transformers

We present Multiscale Vision Transformers (MViT) for video and image rec...

9 Haoqi Fan, et al. ∙

∙ 04/02/2021

Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

The standard way of training video models entails sampling at each itera...

0 Xitong Yang, et al. ∙

∙ 04/01/2021

Multiview Pseudo-Labeling for Semi-supervised Learning from Video

We present a multiview pseudo-labeling approach to video learning, a nov...

0 Bo Xiong, et al. ∙

∙ 03/28/2021

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval

Video-Text Retrieval has been a hot research topic with the explosion of...

10 Song Liu, et al. ∙

∙ 11/25/2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

Leveraging temporal information has been regarded as essential for devel...

10 Yutong Bai, et al. ∙

∙ 03/09/2020

Improved Baselines with Momentum Contrastive Learning

Contrastive unsupervised learning has recently shown encouraging progres...

9 Xinlei Chen, et al. ∙

∙ 11/13/2019

Momentum Contrast for Unsupervised Visual Representation Learning

We present Momentum Contrast (MoCo) for unsupervised visual representati...

25 Kaiming He, et al. ∙

∙ 12/12/2018

Long-Term Feature Banks for Detailed Video Understanding

To understand the world, we humans constantly need to relate the present...

4 Chao-Yuan Wu, et al. ∙

∙ 12/10/2018

SlowFast Networks for Video Recognition

We present SlowFast networks for video recognition. Our model involves (...

0 Christoph Feichtenhofer, et al. ∙

∙ 10/06/2017

Efficient K-Shot Learning with Regularized Deep Networks

Feature representations from pre-trained deep neural networks have been ...

0 Donghyun Yoo, et al. ∙

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