Alexander Kirillov | DeepAI

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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...

2 Duy-Kien Nguyen, et al. ∙

∙ 04/05/2023

Segment Anything

We introduce the Segment Anything (SA) project: a new task, model, and d...

0 Alexander Kirillov, et al. ∙

∙ 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...

7 Yutong Bai, et al. ∙

∙ 12/23/2021

SLIP: Self-supervision meets Language-Image Pre-training

Recent work has shown that self-supervised pre-training leads to improve...

12 Norman Mu, et al. ∙

∙ 12/20/2021

Mask2Former for Video Instance Segmentation

We find Mask2Former also achieves state-of-the-art performance on video ...

11 Bowen Cheng, et al. ∙

∙ 12/02/2021

Masked-attention Mask Transformer for Universal Image Segmentation

Image segmentation is about grouping pixels with different semantics, e....

6 Bowen Cheng, et al. ∙

∙ 12/02/2021

Recognizing Scenes from Novel Viewpoints

Humans can perceive scenes in 3D from a handful of 2D views. For AI agen...

0 Shengyi Qian, et al. ∙

∙ 07/13/2021

Per-Pixel Classification is Not All You Need for Semantic Segmentation

Modern approaches typically formulate semantic segmentation as a per-pix...

6 Bowen Cheng, et al. ∙

∙ 04/13/2021

Pointly-Supervised Instance Segmentation

We propose point-based instance-level annotation, a new form of weak sup...

5 Bowen Cheng, et al. ∙

∙ 03/30/2021

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

We present Boundary IoU (Intersection-over-Union), a new segmentation ev...

10 Bowen Cheng, et al. ∙

∙ 02/22/2021

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness

Invariance to a broad array of image corruptions, such as warping, noise...

4 Eric Mintun, et al. ∙

∙ 02/01/2021

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

By design, average precision (AP) for object detection aims to treat all...

6 Achal Dave, et al. ∙

∙ 01/07/2021

TrackFormer: Multi-Object Tracking with Transformers

We present TrackFormer, an end-to-end multi-object tracking and segmenta...

16 Tim Meinhardt, et al. ∙

∙ 05/26/2020

End-to-End Object Detection with Transformers

We present a new method that views object detection as a direct set pred...

23 Nicolas Carion, et al. ∙

∙ 12/17/2019

PointRend: Image Segmentation as Rendering

We present a new method for efficient high-quality image segmentation of...

28 Alexander Kirillov, et al. ∙

∙ 04/02/2019

Exploring Randomly Wired Neural Networks for Image Recognition

Neural networks for image recognition have evolved through extensive man...

36 Saining Xie, et al. ∙

∙ 01/08/2019

Panoptic Feature Pyramid Networks

The recently introduced panoptic segmentation task has renewed our commu...

10 Alexander Kirillov, et al. ∙

∙ 05/24/2018

WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration

The problem of word sense disambiguation (WSD) is considered in the arti...

0 Alexander Kirillov, et al. ∙

∙ 05/24/2018

WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration

The problem of word sense disambiguation (WSD) is considered in the arti...

0 Alexander Kirillov, et al. ∙

∙ 03/05/2018

Calculated attributes of synonym sets

The goal of formalization, proposed in this paper, is to bring together,...

0 Andrew Krizhanovsky, et al. ∙

∙ 01/03/2018

Panoptic Segmentation

We propose and study a novel 'Panoptic Segmentation' (PS) task. Panoptic...

0 Alexander Kirillov, et al. ∙

∙ 02/26/2017

Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation

This paper addresses the task of designing a modular neural network arch...

0 Omid Hosseini Jafari, et al. ∙

∙ 12/07/2016

Global Hypothesis Generation for 6D Object Pose Estimation

This paper addresses the task of estimating the 6D pose of a known 3D ob...

0 Frank Michel, et al. ∙

∙ 11/24/2016

InstanceCut: from Edges to Instances with MultiCut

This work addresses the task of instance-aware semantic segmentation. Ou...

0 Alexander Kirillov, et al. ∙

∙ 11/14/2016

Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications

We state a combinatorial optimization problem whose feasible solutions d...

0 Evgeny Levinkov, et al. ∙

∙ 06/22/2016

Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization

We consider the problem of jointly inferring the M-best diverse labeling...

0 Alexander Kirillov, et al. ∙

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