b'Xinlei Chen'

An Empirical Study of Training Self-Supervised Vision Transformers

This paper does not describe a novel method. Instead, it studies a strai...
04/05/2021 ∙ by Xinlei Chen, et al. ∙ 38 ∙ share

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Understanding self-supervised Learning Dynamics without Contrastive Pairs

Contrastive approaches to self-supervised learning (SSL) learn represent...
02/12/2021 ∙ by Yuandong Tian, et al. ∙ 9 ∙ share

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Exploring Simple Siamese Representation Learning

Siamese networks have become a common structure in various recent models...
11/20/2020 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Understanding Self-supervised Learning with Dual Deep Networks

We propose a novel theoretical framework to understand self-supervised l...
10/01/2020 ∙ by Yuandong Tian, et al. ∙ 52 ∙ share

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Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

We introduce a learning-based approach for room navigation using semanti...
07/20/2020 ∙ by Medhini Narasimhan, et al. ∙ 2 ∙ share

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Overcoming Statistical Shortcuts for Open-ended Visual Counting

Machine learning models tend to over-rely on statistical shortcuts. Thes...
06/17/2020 ∙ by Corentin Dancette, et al. ∙ 12 ∙ share

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Revisiting Modulated Convolutions for Visual Counting and Beyond

This paper targets at visual counting, where the setup is to estimate th...
04/24/2020 ∙ by Duy-Kien Nguyen, et al. ∙ 1 ∙ share

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Improved Baselines with Momentum Contrastive Learning

Contrastive unsupervised learning has recently shown encouraging progres...
03/09/2020 ∙ by Xinlei Chen, et al. ∙ 9 ∙ share

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ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes

3D object detection has seen quick progress thanks to advances in deep l...
01/29/2020 ∙ by Charles R. Qi, et al. ∙ 15 ∙ share

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In Defense of Grid Features for Visual Question Answering

Popularized as 'bottom-up' attention, bounding box (or region) based vis...
01/10/2020 ∙ by Huaizu Jiang, et al. ∙ 7 ∙ share

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Towards VQA Models that can Read

Studies have shown that a dominant class of questions asked by visually ...
04/18/2019 ∙ by Amanpreet Singh, et al. ∙ 12 ∙ share

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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Accurate multi-organ abdominal CT segmentation is essential to many clin...
04/12/2019 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Multi-Target Embodied Question Answering

Embodied Question Answering (EQA) is a relatively new task where an agen...
04/09/2019 ∙ by Licheng Yu, et al. ∙ 6 ∙ share

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Embodied Visual Recognition

Passive visual systems typically fail to recognize objects in the amodal...
04/09/2019 ∙ by Jianwei Yang, et al. ∙ 22 ∙ share

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TensorMask: A Foundation for Dense Object Segmentation

Sliding-window object detectors that generate bounding-box object predic...
03/28/2019 ∙ by Xinlei Chen, et al. ∙ 28 ∙ share

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Cycle-Consistency for Robust Visual Question Answering

Despite significant progress in Visual Question Answering over the years...
02/15/2019 ∙ by Meet Shah, et al. ∙ 14 ∙ share

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Relay-Assisted and QoS Aware Scheduling to Overcome Blockage in mmWave Backhaul Networks

In the scenario where small cells are densely deployed, the millimeter w...
12/29/2018 ∙ by Yong Niu, et al. ∙ 0 ∙ share

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nocaps: novel object captioning at scale

Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙ 46 ∙ share

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Grounded Video Description

Video description is one of the most challenging problems in vision and ...
12/17/2018 ∙ by Luowei Zhou, et al. ∙ 8 ∙ share

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Pythia v0.1: the Winning Entry to the VQA Challenge 2018

This document describes Pythia v0.1, the winning entry from Facebook AI ...
07/26/2018 ∙ by Yu Jiang, et al. ∙ 12 ∙ share

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Iterative Visual Reasoning Beyond Convolutions

We present a novel framework for iterative visual reasoning. Our framewo...
03/29/2018 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells

To keep pace with the rapid growth of mobile traffic demands, dense depl...
12/14/2017 ∙ by Yong Niu, et al. ∙ 0 ∙ share

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PixelNet: Representation of the pixels, by the pixels, and for the pixels

We explore design principles for general pixel-level prediction problems...
02/21/2017 ∙ by Aayush Bansal, et al. ∙ 0 ∙ share

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An Implementation of Faster RCNN with Study for Region Sampling

We adapted the join-training scheme of Faster RCNN framework from Caffe ...
02/07/2017 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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PixelNet: Towards a General Pixel-level Architecture

We explore architectures for general pixel-level prediction problems, fr...
09/21/2016 ∙ by Aayush Bansal, et al. ∙ 0 ∙ share

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Learning Visual Storylines with Skipping Recurrent Neural Networks

What does a typical visit to Paris look like? Do people first take photo...
04/14/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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Webly Supervised Learning of Convolutional Networks

We present an approach to utilize large amounts of web data for learning...
05/07/2015 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Microsoft COCO Captions: Data Collection and Evaluation Server

In this paper we describe the Microsoft COCO Caption dataset and evaluat...
04/01/2015 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Learning a Recurrent Visual Representation for Image Caption Generation

In this paper we explore the bi-directional mapping between images and t...
11/20/2014 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Xinlei Chen

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