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08/18/2023
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
We present a method that simultaneously addresses the tasks of dynamic s...
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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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06/01/2023
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
During interactive segmentation, a model and a user work together to del...
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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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12/01/2022
3D Segmentation of Humans in Point Clouds with Synthetic Data
Segmenting humans in 3D indoor scenes has become increasingly important ...
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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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09/29/2022
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
In this work, we present a new paradigm, called 4D-StOP, to tackle the t...
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09/25/2022
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
Multiple existing benchmarks involve tracking and segmenting objects in ...
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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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08/03/2022
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics
Autonomous navigation in highly populated areas remains a challenging ta...
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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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11/15/2021
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
Despite receiving significant attention from the research community, the...
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10/05/2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
We present Mix3D, a data augmentation technique for segmenting large-sca...
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07/03/2021
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
In this preliminary work we attempt to apply submanifold sparse convolut...
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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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02/23/2021
STEP: Segmenting and Tracking Every Pixel
In this paper, we tackle video panoptic segmentation, a task that requir...
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12/21/2020
From Points to Multi-Object 3D Reconstruction
We propose a method to detect and reconstruct multiple 3D objects from a...
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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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11/02/2020
Reducing the Annotation Effort for Video Object Segmentation Datasets
For further progress in video object segmentation (VOS), larger, more di...
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09/16/2020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. ...
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08/26/2020
Making a Case for 3D Convolutions for Object Segmentation in Videos
The task of object segmentation in videos is usually accomplished by pro...
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07/12/2020
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
Heatmap representations have formed the basis of human pose estimation s...
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06/08/2020
Reposing Humans by Warping 3D Features
We address the problem of reposing an image of a human into any desired ...
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05/02/2020
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction
Inferring the pose and shape of vehicles in 3D from a movable platform s...
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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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04/27/2020
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Video annotation is expensive and time consuming. Consequently, datasets...
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04/02/2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
We propose DualConvMesh-Nets (DCM-Net) a family of deep hierarchical con...
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03/30/2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
We present 3D-MPA, a method for instance segmentation on 3D point clouds...
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03/18/2020
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Existing methods for instance segmentation in videos typically involve m...
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03/05/2020
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
Heatmap representations have formed the basis of 2D human pose estimatio...
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01/15/2020
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
We address Unsupervised Video Object Segmentation (UVOS), the task of au...
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11/28/2019
Siam R-CNN: Visual Tracking by Re-Detection
We present Siam R-CNN, a Siamese re-detection architecture which unleash...
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11/02/2019
Single-Shot Panoptic Segmentation
We present a novel end-to-end single-shot method that segments countable...
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10/10/2019
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
Methods tackling multi-object tracking need to estimate the number of ta...
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09/30/2019
Track to Reconstruct and Reconstruct to Track
Object tracking and reconstruction are often performed together, with tr...
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07/28/2019
Dilated Point Convolutions: On the Receptive Field of Point Convolutions
In this work, we propose Dilated Point Convolutions (DPC) which drastica...
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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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04/09/2019
BoLTVOS: Box-Level Tracking for Video Object Segmentation
We approach video object segmentation (VOS) by splitting the task into t...
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04/03/2019
3D-BEVIS: Birds-Eye-View Instance Segmentation
Recent deep learning models achieve impressive results on 3D scene analy...
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02/28/2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
This paper addresses the problem of object discovery from unlabeled driv...
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02/25/2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Many of the recent successful methods for video object segmentation (VOS...
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02/10/2019
MOTS: Multi-Object Tracking and Segmentation
This paper extends the popular task of multi-object tracking to multi-ob...
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01/26/2019
4D Generic Video Object Proposals
Many high-level video understanding methods require input in the form of...
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10/02/2018
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
In this paper, we present a deep learning architecture which addresses t...
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09/19/2018
Combined Image- and World-Space Tracking in Traffic Scenes
Tracking in urban street scenes plays a central role in autonomous syste...
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09/19/2018