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09/13/2023
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
Vision and Language Models (VLMs), such as CLIP, have enabled visual rec...
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05/29/2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Recently, large-scale pre-trained Vision and Language (VL) models have s...
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03/27/2023
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection
Unsupervised domain adaptive object detection is a challenging vision ta...
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03/15/2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
Large scale Vision-Language (VL) models have shown tremendous success in...
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03/09/2023
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Temporal action segmentation in untrimmed videos has gained increased at...
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12/14/2022
MAELi – Masked Autoencoder for Large-Scale LiDAR Point Clouds
We show how the inherent, but often neglected, properties of large-scale...
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12/06/2022
Sparse Message Passing Network with Feature Integration for Online Multiple Object Tracking
Existing Multiple Object Tracking (MOT) methods design complex architect...
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11/24/2022
Video Test-Time Adaptation for Action Recognition
Although action recognition systems can achieve top performance when eva...
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11/23/2022
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
Test-Time-Training (TTT) is an approach to cope with out-of-distribution...
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11/21/2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
We propose MATE, the first Test-Time-Training (TTT) method designed for ...
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11/10/2022
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
Keyless entry systems in cars are adopting neural networks for localizin...
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10/14/2022
SAILOR: Scaling Anchors via Insights into Latent Object Representation
LiDAR 3D object detection models are inevitably biased towards their tra...
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04/13/2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
While 3D object detection in LiDAR point clouds is well-established in a...
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03/30/2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
Although action recognition has achieved impressive results over recent ...
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03/20/2022
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
3D human pose estimation is fundamental to understanding human behavior....
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12/01/2021
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
Domain adaptation is crucial to adapt a learned model to new scenarios, ...
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11/26/2021
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
Even though many semantic segmentation methods exist that are able to pe...
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10/18/2021
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
In the field of autonomous driving, self-training is widely applied to m...
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06/16/2021
Robustness of Object Detectors in Degrading Weather Conditions
State-of-the-art object detection systems for autonomous driving achieve...
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12/18/2019
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
We introduce a simple yet effective fusion method of LiDAR and RGB data ...
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08/02/2019
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
In many medical image analysis applications, often only a limited amount...
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11/23/2018
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Data labeling for learning 3D hand pose estimation models is a huge effo...
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06/06/2018
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
Different to semantic segmentation, instance segmentation assigns unique...
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05/09/2018
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Automated toll systems rely on proper classification of the passing vehi...
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04/10/2018
Learning Pose Specific Representations by Predicting Different Views
The labeled data required to learn pose estimation for articulated objec...
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03/22/2018
Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction
In this work, we propose a novel approach to prioritize the depth map co...
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01/15/2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Learning similarity functions between image pairs with deep neural netwo...
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05/02/2017
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
In this paper we present a scalable approach for robustly computing a 3D...
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04/04/2017
OctNetFusion: Learning Depth Fusion from Data
In this paper, we present a learning based approach to depth fusion, i.e...
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10/06/2016
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
The development of powerful 3D scanning hardware and reconstruction algo...
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09/01/2016
Grid Loss: Detecting Occluded Faces
Detection of partially occluded objects is a challenging computer vision...
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07/28/2016
A Deep Primal-Dual Network for Guided Depth Super-Resolution
In this paper we present a novel method to increase the spatial resoluti...
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07/27/2016
ATGV-Net: Accurate Depth Super-Resolution
In this work we present a novel approach for single depth map super-reso...
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04/18/2016
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision
Learned confidence measures gain increasing importance for outlier remov...
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02/25/2015
Building with Drones: Accurate 3D Facade Reconstruction using MAVs
Automatic reconstruction of 3D models from images using multi-view Struc...
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04/25/2014
Indoor Activity Detection and Recognition for Sport Games Analysis
Activity recognition in sport is an attractive field for computer vision...
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04/19/2014
Geometric Abstraction from Noisy Image-Based 3D Reconstructions
Creating geometric abstracted models from image-based scene reconstructi...
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01/16/2014
Revisiting loss-specific training of filter-based MRFs for image restoration
It is now well known that Markov random fields (MRFs) are particularly e...
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01/16/2014