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08/03/2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation
A single unexpected object on the road can cause an accident or may lead...
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04/13/2023
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
Most state-of-the-art instance segmentation methods rely on large amount...
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03/29/2023
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Recently, the self-supervised learning framework data2vec has shown insp...
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01/06/2023
TarViS: A Unified Approach for Target-based Video Segmentation
The general domain of video segmentation is currently fragmented into di...
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12/29/2022
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats
Deep learning-based 3D human pose estimation performs best when trained ...
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10/06/2022
Mask3D for 3D Semantic Instance Segmentation
Modern 3D semantic instance segmentation approaches predominantly rely o...
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08/07/2022
Global Hierarchical Attention for 3D Point Cloud Analysis
We propose a new attention mechanism, called Global Hierarchical Attenti...
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06/01/2022
Differentiable Soft-Masked Attention
Transformers have become prevalent in computer vision due to their perfo...
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12/16/2021
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images
Existing state-of-the-art methods for Video Object Segmentation (VOS) le...
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06/21/2021
Domain and Modality Gaps for LiDAR-based Person Detection on Mobile Robots
Person detection is a crucial task for mobile robots navigating in human...
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12/16/2020
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
Deep learning is the essential building block of state-of-the-art person...
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04/29/2020
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Detecting persons using a 2D LiDAR is a challenging task due to the low ...
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06/07/2019
Visual Person Understanding through Multi-Task and Multi-Dataset Learning
We address the problem of learning a single model for person re-identifi...
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04/06/2018
Deep Person Detection in 2D Range Data
Detecting humans is a key skill for mobile robots and intelligent vehicl...
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02/05/2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Deep learning approaches have made tremendous progress in the field of s...
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12/13/2017
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
In this work, we tackle the problem of instance segmentation, the task o...
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03/22/2017
In Defense of the Triplet Loss for Person Re-Identification
In the past few years, the field of computer vision has gone through a r...
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12/06/2016
Superpixels: An Evaluation of the State-of-the-Art
Superpixels group perceptually similar pixels to create visually meaning...
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11/24/2016
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Semantic image segmentation is an essential component of modern autonomo...
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03/08/2016