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06/15/2023
Path Generation for Wheeled Robots Autonomous Navigation on Vegetated Terrain
Wheeled robot navigation has been widely used in urban environments, but...
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06/14/2023
Improving Selective Visual Question Answering by Learning from Your Peers
Despite advances in Visual Question Answering (VQA), the ability of mode...
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06/08/2023
R-MAE: Regions Meet Masked Autoencoders
Vision-specific concepts such as "region" have played a key role in exte...
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01/02/2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Driven by improved architectures and better representation learning fram...
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11/23/2022
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data
Modeling spatial relationship in the data remains critical across many d...
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10/13/2022
Exploring Long-Sequence Masked Autoencoders
Masked Autoencoding (MAE) has emerged as an effective approach for pre-t...
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09/15/2022
Test-Time Training with Masked Autoencoders
Test-time training adapts to a new test distribution on the fly by optim...
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04/01/2022
On the Importance of Asymmetry for Siamese Representation Learning
Many recent self-supervised frameworks for visual representation learnin...
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03/10/2022
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Dual encoders and cross encoders have been widely used for image-text re...
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02/09/2022
Point-Level Region Contrast for Object Detection Pre-Training
In this work we present point-level region contrast, a self-supervised p...
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11/22/2021
Benchmarking Detection Transfer Learning with Vision Transformers
Object detection is a central downstream task used to test if pre-traine...
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11/11/2021
Masked Autoencoders Are Scalable Vision Learners
This paper shows that masked autoencoders (MAE) are scalable self-superv...
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10/11/2021
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Non-contrastive methods of self-supervised learning (such as BYOL and Si...
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04/05/2021
An Empirical Study of Training Self-Supervised Vision Transformers
This paper does not describe a novel method. Instead, it studies a strai...
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02/12/2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Contrastive approaches to self-supervised learning (SSL) learn represent...
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11/20/2020
Exploring Simple Siamese Representation Learning
Siamese networks have become a common structure in various recent models...
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10/01/2020
Understanding Self-supervised Learning with Dual Deep Networks
We propose a novel theoretical framework to understand self-supervised l...
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07/20/2020
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation
We introduce a learning-based approach for room navigation using semanti...
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06/17/2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Machine learning models tend to over-rely on statistical shortcuts. Thes...
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04/24/2020
Revisiting Modulated Convolutions for Visual Counting and Beyond
This paper targets at visual counting, where the setup is to estimate th...
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03/09/2020
Improved Baselines with Momentum Contrastive Learning
Contrastive unsupervised learning has recently shown encouraging progres...
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01/29/2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
3D object detection has seen quick progress thanks to advances in deep l...
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01/10/2020
In Defense of Grid Features for Visual Question Answering
Popularized as 'bottom-up' attention, bounding box (or region) based vis...
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04/18/2019
Towards VQA Models that can Read
Studies have shown that a dominant class of questions asked by visually ...
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04/12/2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Accurate multi-organ abdominal CT segmentation is essential to many clin...
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04/09/2019
Multi-Target Embodied Question Answering
Embodied Question Answering (EQA) is a relatively new task where an agen...
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04/09/2019
Embodied Visual Recognition
Passive visual systems typically fail to recognize objects in the amodal...
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03/28/2019
TensorMask: A Foundation for Dense Object Segmentation
Sliding-window object detectors that generate bounding-box object predic...
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02/15/2019
Cycle-Consistency for Robust Visual Question Answering
Despite significant progress in Visual Question Answering over the years...
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12/29/2018
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...
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12/20/2018
nocaps: novel object captioning at scale
Image captioning models have achieved impressive results on datasets con...
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12/17/2018
Grounded Video Description
Video description is one of the most challenging problems in vision and ...
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07/26/2018
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
This document describes Pythia v0.1, the winning entry from Facebook AI ...
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03/29/2018
Iterative Visual Reasoning Beyond Convolutions
We present a novel framework for iterative visual reasoning. Our framewo...
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12/14/2017
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...
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02/21/2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels
We explore design principles for general pixel-level prediction problems...
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02/07/2017
An Implementation of Faster RCNN with Study for Region Sampling
We adapted the join-training scheme of Faster RCNN framework from Caffe ...
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09/21/2016
PixelNet: Towards a General Pixel-level Architecture
We explore architectures for general pixel-level prediction problems, fr...
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04/14/2016
Learning Visual Storylines with Skipping Recurrent Neural Networks
What does a typical visit to Paris look like? Do people first take photo...
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05/07/2015
Webly Supervised Learning of Convolutional Networks
We present an approach to utilize large amounts of web data for learning...
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04/01/2015
Microsoft COCO Captions: Data Collection and Evaluation Server
In this paper we describe the Microsoft COCO Caption dataset and evaluat...
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11/20/2014