Martin Danelljan

Trans. Mach. Learn. Res., 2023

Recurrent Graph Neural Networks for Video Instance Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Diffusion-Based Particle-DETR for BEV Perception.

[BibT_eX]

[DOI]

CoRR, 2023

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.

[BibT_eX]

[DOI]

Jan-Nico Zaech

CoRR, 2023

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.

[BibT_eX]

[DOI]

CoRR, 2023

Prompting Diffusion Representations for Cross-Domain Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything Meets Point Tracking.

[BibT_eX]

[DOI]

CoRR, 2023

StyleGenes: Discrete and Efficient Latent Distributions for GANs.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Online Video Super-Resolution with Deformable Attention Pyramid.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Visual Tracking with Exemplar Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiMatting: Efficient Video Matting via Binarization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Anything in High Quality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

[BibT_eX]

[DOI]

Norbert Scherer-Negenborn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cascade-DETR: Delving into High-Quality Universal Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OVTrack: Open-Vocabulary Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mask-Free Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learnable Online Graph Representations for 3D Multi-Object Tracking.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Beyond SOT: It's Time to Track Multiple Generic Objects at Once.

[BibT_eX]

[DOI]

CoRR, 2022

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.

[BibT_eX]

[DOI]

CoRR, 2022

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Fast Hierarchical Learning for Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Collapse by Conditioning: Training Class-conditional GANs with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Visual Tracking by Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Tracking Every Thing in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

[BibT_eX]

[DOI]

Christian Micheloni

Payman Moallem

Le Thanh Nguyen-Meidine

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Video Mask Transfiner for High-Quality Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Dense Gaussian Processes for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Adiabatic Quantum Computing for Multi Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Arbitrary-Scale Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Learning the Super-Resolution Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mask Transfiner for High-Quality Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Burst Super-Resolution Challenge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Transforming Model Prediction for Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Learning Proposals for Practical Energy-Based Regression.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

TADA: Taxonomy Adaptive Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Gaussian Processes for Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Memory Attention for Fast Video Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Fast Few-Shot Classification by Few-Iteration Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

[BibT_eX]

[DOI]

Mohamed H. Abdelpakey

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Warp Consistency for Unsupervised Learning of Dense Correspondences.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Target Candidate Association to Keep Track of What Not to Track.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Video Instance Segmentation with Recurrent Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Accurate Dense Correspondences and When To Trust Them.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NTIRE 2021 Learning the Super-Resolution Space Challenge.

[BibT_eX]

[DOI]

Andreas Lugmayr

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Accurate 3D Object Detection Using Energy-Based Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Deep Burst Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Video Instance Segmentation with Recurrent Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Few-Shot Classification By Few-Iteration Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2020

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

How to Train Your Energy-Based Model for Regression.

[BibT_eX]

[DOI]

CoRR, 2020

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

SRFlow: Learning the Super-Resolution Space with Normalizing Flow.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Video Object Segmentation with Episodic Graph Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

Awet Haileslassie Gebrehiwot

Álvaro García-Martín

Andreas Robinson

Anton Varfolomieiev

Hari Chandana Kuchibhotla

Hasan Saribas

Heng Fan

Hossein Ghanei-Yakhdan

Rama Krishna Sai Subrahmanyam Gorthi

Seokeon Choi

Seyed Mojtaba Marvasti-Zadeh

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Energy-Based Models for Deep Probabilistic Regression.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning What to Learn for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Know Your Surroundings: Exploiting Scene Information for Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Human-Object Interaction Detection Using Interaction Points.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences.

[BibT_eX]

[DOI]

Prune Truong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Fast and Robust Target Models for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Probabilistic Regression for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

How to Train Your Energy-Based Model for Regression.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Synthetic Data Generation for End-to-End Thermal Infrared Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Deep motion and appearance cues for visual tracking.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2019

DCTD: Deep Conditional Target Densities for Accurate Regression.

[BibT_eX]

[DOI]

CoRR, 2019

Discriminative Online Learning for Fast Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Modal Fusion for End-to-End RGB-T Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Unsupervised Learning for Real-World Super-Resolution.

[BibT_eX]

[DOI]

Andreas Lugmayr

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.

[BibT_eX]

[DOI]

Rama Krishna Sai Subrahmanyam Gorthi

Arnold W. M. Smeulders

Pablo Navarrete Michelini

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Wenbin Chen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

DIV8K: DIVerse 8K Resolution Image Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning the Model Update for Siamese Trackers.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Discriminative Model Prediction for Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Generative Appearance Model for End-To-End Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ATOM: Accurate Tracking by Overlap Maximization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tracking the Known and the Unknown by Leveraging Semantic Information.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Learning Convolution Operators for Visual Tracking.

[BibT_eX]

[DOI]

PhD thesis, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.

[BibT_eX]

[DOI]

Gustavo Fernández

Álvaro García-Martín

Álvaro Iglesias-Arias

A. Aydin Alatan

Abel González-García

Alfredo Petrosino

Gorthi R. K. Sai Subrahmanyam

Andrea Vedaldi

Andrej Muhic

Anfeng He

Arnold W. M. Smeulders

Guilherme Sousa Bastos

Haibin Ling

Hamed Kiani Galoogahi

Jorge Rodríguez Herranz

Rama Krishna Sai Subrahmanyam Gorthi

Ming-Hsuan Yang

Mohamed H. Abdelpakey

Pablo Vicente-Moñivar

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

On the Optimization of Advanced DCF-Trackers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Unveiling the Power of Deep Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Density Adaptive Point Set Registration.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Combining Local and Global Models for Robust Re-detection.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

Discriminative Scale Space Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

DCCO: Towards Deformable Continuous Convolution Operators.

[BibT_eX]

[DOI]

CoRR, 2017

The Visual Object Tracking VOT2017 Challenge Results.

[BibT_eX]

[DOI]

Gorthi R. K. Sai Subrahmanyam

Guan Huang

Guilherme Sousa Bastos

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

ECO: Efficient Convolution Operators for Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Projective 3D Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2017

DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Deep motion features for visual tracking.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Aligning the dissimilar: A probabilistic method for feature-based point set registration.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

The Visual Object Tracking VOT2016 Challenge Results.

[BibT_eX]

[DOI]

Gorthi R. K. Sai Subrahmanyam

Guilherme Sousa Bastos

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

A Probabilistic Framework for Color-Based Point Set Registration.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Image Alignment for Panorama Stitching in Sparsely Structured Environments.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Coloring Channel Representations for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Convolutional Features for Correlation Filter Based Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Learning Spatially Regularized Correlation Filters for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

The Visual Object Tracking VOT2014 Challenge Results.

[BibT_eX]

[DOI]