Matching Anything by Segmenting Anything - Siyuan Li; Lei Ke; Martin Danelljan; Luigi Piccinelli; Mattia Segù; Luc Van Gool; Fisher Yu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing - Jan-Nico Zaech; Martin Danelljan; Tolga Birdal; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking - Siyuan Li; Lei Ke; Yung-Hsu Yang; Luigi Piccinelli; Mattia Segù; Martin Danelljan; Luc Van Gool (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVII, 2024)

Gaussian Grouping: Segment and Edit Anything in 3D Scenes - Mingqiao Ye; Martin Danelljan; Fisher Yu; Lei Ke (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIX, 2024)

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects - Chunming He; Kai Li; Yachao Zhang; Yulun Zhang; Chenyu You; Zhenhua Guo; Xiu Li; Martin Danelljan; Fisher Yu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Lightweight Image Super-Resolution via Flexible Meta Pruning - Yulun Zhang; Kai Zhang; Luc Van Gool; Martin Danelljan; Fisher Yu (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Flexible Residual Binarization for Image Super-Resolution - Yulun Zhang; Haotong Qin; Zixiang Zhao; Xianglong Liu; Martin Danelljan; Fisher Yu (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

StyleGenes: Discrete and Efficient Latent Distributions for GANs - Evangelos Ntavelis; Mohamad Shahbazi; Iason Kastanis; Martin Danelljan; Luc Van Gool (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Beyond SOT: Tracking Multiple Generic Objects at Once - Christoph Mayer; Martin Danelljan; Ming-Hsuan Yang; Vittorio Ferrari; Luc Van Gool; Alina Kuznetsova (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Analyzing Local Representations of Self-supervised Vision Transformers - Ani Vanyan; Alvard Barseghyan; Hakob Tamazyan; Vahan Huroyan; Hrant Khachatrian; Martin Danelljan (CoRR, 2024)

Efficient Video Object Segmentation via Modulated Cross-Attention Memory - Abdelrahman M. Shaker; Syed Talal Wasim; Martin Danelljan; Salman Khan; Ming-Hsuan Yang; Fahad Shahbaz Khan (CoRR, 2024)

Matching Anything by Segmenting Anything - Siyuan Li; Lei Ke; Martin Danelljan; Luigi Piccinelli; Mattia Segù; Luc Van Gool; Fisher Yu (CoRR, 2024)

PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis - Sohyeong Kim; Martin Danelljan; Radu Timofte; Luc Van Gool; Jean-Philippe Thiran (CoRR, 2024)

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking - Siyuan Li; Lei Ke; Yung-Hsu Yang; Luigi Piccinelli; Mattia Segù; Martin Danelljan; Luc Van Gool (CoRR, 2024)

Recurrent Graph Neural Networks for Video Instance Segmentation - Emil Brissman; Joakim Johnander; Martin Danelljan; Michael Felsberg (Int. J. Comput. Vis., 2023)

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook - Sajid Javed; Martin Danelljan; Fahad Shahbaz Khan; Muhammad Haris Khan; Michael Felsberg; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network - Prune Truong; Martin Danelljan; Radu Timofte; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (Trans. Mach. Learn. Res., 2023)

OVTrack: Open-Vocabulary Multiple Object Tracking - Siyuan Li; Tobias Fischer; Lei Ke; Henghui Ding; Martin Danelljan; Fisher Yu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations - Rui Gong; Qin Wang; Martin Danelljan; Dengxin Dai; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Mask-Free Video Instance Segmentation - Lei Ke; Martin Danelljan; Henghui Ding; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras - Aron Schmied; Tobias Fischer; Martin Danelljan; Marc Pollefeys; Fisher Yu (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Cascade-DETR: Delving into High-Quality Universal Object Detection - Mingqiao Ye; Lei Ke; Siyuan Li; Yu-Wing Tai; Chi-Keung Tang; Martin Danelljan; Fisher Yu (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

MolGrapher: Graph-based Visual Recognition of Chemical Structures - Lucas Morin; Martin Danelljan; Maria Isabel Agea; Ahmed S. Nassar; Valéry Weber; Ingmar Meijer; Peter W. J. Staar; Fisher Yu (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, 2023)

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions - Mohamad Shahbazi; Evangelos Ntavelis; Alessio Tonioni; Edo Collins; Danda Pani Paudel; Martin Danelljan; Luc Van Gool (IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, 2023)

Segment Anything in High Quality - Lei Ke; Mingqiao Ye; Martin Danelljan; Yifan Liu; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

BiMatting: Efficient Video Matting via Binarization - Haotong Qin; Lei Ke; Xudong Ma; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Xianglong Liu; Fisher Yu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution - Haotong Qin; Yulun Zhang; Yifu Ding; Yifan Liu; Xianglong Liu; Martin Danelljan; Fisher Yu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Efficient Visual Tracking with Exemplar Transformers - Philippe Blatter; Menelaos Kanakis; Martin Danelljan; Luc Van Gool (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023)

Fast Online Video Super-Resolution with Deformable Attention Pyramid - Dario Fuoli; Martin Danelljan; Radu Timofte; Luc Van Gool (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023)

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (CoRR, 2023)

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions - Mohamad Shahbazi; Evangelos Ntavelis; Alessio Tonioni; Edo Collins; Danda Pani Paudel; Martin Danelljan; Luc Van Gool (CoRR, 2023)

Mask-Free Video Instance Segmentation - Lei Ke; Martin Danelljan; Henghui Ding; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (CoRR, 2023)

OVTrack: Open-Vocabulary Multiple Object Tracking - Siyuan Li; Tobias Fischer; Lei Ke; Henghui Ding; Martin Danelljan; Fisher Yu (CoRR, 2023)

StyleGenes: Discrete and Efficient Latent Distributions for GANs - Evangelos Ntavelis; Mohamad Shahbazi; Iason Kastanis; Radu Timofte; Martin Danelljan; Luc Van Gool (CoRR, 2023)

Segment Anything in High Quality - Lei Ke; Mingqiao Ye; Martin Danelljan; Yifan Liu; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (CoRR, 2023)

Segment Anything Meets Point Tracking - Frano Rajic; Lei Ke; Yu-Wing Tai; Chi-Keung Tang; Martin Danelljan; Fisher Yu (CoRR, 2023)

Prompting Diffusion Representations for Cross-Domain Semantic Segmentation - Rui Gong; Martin Danelljan; Han Sun; Julio Delgado Mangas; Luc Van Gool (CoRR, 2023)

Cascade-DETR: Delving into High-Quality Universal Object Detection - Mingqiao Ye; Lei Ke; Siyuan Li; Yu-Wing Tai; Chi-Keung Tang; Martin Danelljan; Fisher Yu (CoRR, 2023)

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects - Chunming He; Kai Li; Yachao Zhang; Yulun Zhang; Zhenhua Guo; Xiu Li; Martin Danelljan; Fisher Yu (CoRR, 2023)

MolGrapher: Graph-based Visual Recognition of Chemical Structures - Lucas Morin; Martin Danelljan; Maria Isabel Agea; Ahmed S. Nassar; Valéry Weber; Ingmar Meijer; Peter W. J. Staar; Fisher Yu (CoRR, 2023)

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras - Aron Schmied; Tobias Fischer; Martin Danelljan; Marc Pollefeys; Fisher Yu (CoRR, 2023)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing - Jan-Nico Zaech; Martin Danelljan; Luc Van Gool (CoRR, 2023)

Gaussian Grouping: Segment and Edit Anything in 3D Scenes - Mingqiao Ye; Martin Danelljan; Fisher Yu; Lei Ke (CoRR, 2023)

Diffusion-Based Particle-DETR for BEV Perception - Asen Nachkov; Martin Danelljan; Danda Pani Paudel; Luc Van Gool (CoRR, 2023)

Learnable Online Graph Representations for 3D Multi-Object Tracking - Jan-Nico Zaech; Alexander Liniger; Dengxin Dai; Martin Danelljan; Luc Van Gool (IEEE Robotics Autom. Lett., 2022)

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows - Janis Postels; Martin Danelljan; Luc Van Gool; Federico Tombari (International Conference on 3D Vision, 3DV 2022, Prague, Czech Republic, September 12-16, 2022, 2022)

Learning Proposals for Practical Energy-Based Regression - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility - Mubashir Noman; Wafa Al Ghallabi; Daniya Kareem; Christoph Mayer; Akshay Dudhane; Martin Danelljan; Hisham Cholakkal; Salman Khan; Luc Van Gool; Fahad Shahbaz Khan (33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, 2022)

NTIRE 2022 Challenge on Learning the Super-Resolution Space - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Kang-wook Kim; Younggeun Kim; Jae-Young Lee; Zechao Li; Jinshan Pan; Dongseok Shim; Ki-Ung Song; Jinhui Tang; Cong Wang; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

NTIRE 2022 Burst Super-Resolution Challenge - Goutam Bhat; Martin Danelljan; Radu Timofte; Yizhen Cao; Yuntian Cao; Meiya Chen; Xihao Chen; Shen Cheng; Akshay Dudhane; Haoqiang Fan; Ruipeng Gang; Jian Gao; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

Mask Transfiner for High-Quality Instance Segmentation - Lei Ke; Martin Danelljan; Xia Li; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences - Prune Truong; Martin Danelljan; Fisher Yu; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Transforming Model Prediction for Tracking - Christoph Mayer; Martin Danelljan; Goutam Bhat; Matthieu Paul; Danda Pani Paudel; Fisher Yu; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Adiabatic Quantum Computing for Multi Object Tracking - Jan-Nico Zaech; Alexander Liniger; Martin Danelljan; Dengxin Dai; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

RePaint: Inpainting using Denoising Diffusion Probabilistic Models - Andreas Lugmayr; Martin Danelljan; Andrés Romero; Fisher Yu; Radu Timofte; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Arbitrary-Scale Image Synthesis - Evangelos Ntavelis; Mohamad Shahbazi; Iason Kastanis; Radu Timofte; Martin Danelljan; Luc Van Gool (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation - Rui Gong; Martin Danelljan; Dengxin Dai; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu; Luc Van Gool (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIV, 2022)

Dense Gaussian Processes for Few-Shot Segmentation - Joakim Johnander; Johan Edstedt; Michael Felsberg; Fahad Shahbaz Khan; Martin Danelljan (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIX, 2022)

The Tenth Visual Object Tracking VOT2022 Challenge Results - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII, 2022)

Tracking Every Thing in the Wild - Siyuan Li; Martin Danelljan; Henghui Ding; Thomas E. Huang; Fisher Yu (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXII, 2022)

Robust Visual Tracking by Segmentation - Matthieu Paul; Martin Danelljan; Christoph Mayer; Luc Van Gool (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXII, 2022)

Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild - Ardhendu Shekhar Tripathi; Martin Danelljan; Samarth Shukla; Radu Timofte; Luc Van Gool (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI, 2022)

Video Mask Transfiner for High-Quality Video Instance Segmentation - Lei Ke; Henghui Ding; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVIII, 2022)

Collapse by Conditioning: Training Class-conditional GANs with Limited Data - Mohamad Shahbazi; Martin Danelljan; Danda Pani Paudel; Luc Van Gool (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Fast Hierarchical Learning for Few-Shot Object Detection - Yihang She; Goutam Bhat; Martin Danelljan; Fisher Yu (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution - Andreas Lugmayr; Martin Danelljan; Fisher Yu; Luc Van Gool; Radu Timofte (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 2022)

Collapse by Conditioning: Training Class-conditional GANs with Limited Data - Mohamad Shahbazi; Martin Danelljan; Danda Pani Paudel; Luc Van Gool (CoRR, 2022)

RePaint: Inpainting using Denoising Diffusion Probabilistic Models - Andreas Lugmayr; Martin Danelljan; Andrés Romero; Fisher Yu; Radu Timofte; Luc Van Gool (CoRR, 2022)

Fast Online Video Super-Resolution with Deformable Attention Pyramid - Dario Fuoli; Martin Danelljan; Radu Timofte; Luc Van Gool (CoRR, 2022)

Adiabatic Quantum Computing for Multi Object Tracking - Jan-Nico Zaech; Alexander Liniger; Martin Danelljan; Dengxin Dai; Luc Van Gool (CoRR, 2022)

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences - Prune Truong; Martin Danelljan; Fisher Yu; Luc Van Gool (CoRR, 2022)

Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild - Ardhendu Shekhar Tripathi; Martin Danelljan; Samarth Shukla; Radu Timofte; Luc Van Gool (CoRR, 2022)

Robust Visual Tracking by Segmentation - Matthieu Paul; Martin Danelljan; Christoph Mayer; Luc Van Gool (CoRR, 2022)

Transforming Model Prediction for Tracking - Christoph Mayer; Martin Danelljan; Goutam Bhat; Matthieu Paul; Danda Pani Paudel; Fisher Yu; Luc Van Gool (CoRR, 2022)

Arbitrary-Scale Image Synthesis - Evangelos Ntavelis; Mohamad Shahbazi; Iason Kastanis; Radu Timofte; Martin Danelljan; Luc Van Gool (CoRR, 2022)

Tracking Every Thing in the Wild - Siyuan Li; Martin Danelljan; Henghui Ding; Thomas E. Huang; Fisher Yu (CoRR, 2022)

Video Mask Transfiner for High-Quality Video Instance Segmentation - Lei Ke; Henghui Ding; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (CoRR, 2022)

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility - Mubashir Noman; Wafa Al Ghallabi; Daniya Najiha; Christoph Mayer; Akshay Dudhane; Martin Danelljan; Hisham Cholakkal; Salman Khan; Luc Van Gool; Fahad Shahbaz Khan (CoRR, 2022)

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows - Janis Postels; Martin Danelljan; Luc Van Gool; Federico Tombari (CoRR, 2022)

Fast Hierarchical Learning for Few-Shot Object Detection - Yihang She; Goutam Bhat; Martin Danelljan; Fisher Yu (CoRR, 2022)

Beyond SOT: It's Time to Track Multiple Generic Objects at Once - Christoph Mayer; Martin Danelljan; Ming-Hsuan Yang; Vittorio Ferrari; Luc Van Gool; Alina Kuznetsova (CoRR, 2022)

DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows - Valentin Wolf; Andreas Lugmayr; Martin Danelljan; Luc Van Gool; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

NTIRE 2021 Learning the Super-Resolution Space Challenge - Andreas Lugmayr; Martin Danelljan; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results - Goutam Bhat; Martin Danelljan; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures - Yawei Li; Wen Li; Martin Danelljan; Kai Zhang; Shuhang Gu; Luc Van Gool; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Accurate 3D Object Detection Using Energy-Based Models - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

Learning Accurate Dense Correspondences and When To Trust Them - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Deep Burst Super-Resolution - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Video Instance Segmentation with Recurrent Graph Neural Networks - Joakim Johnander; Emil Brissman; Martin Danelljan; Michael Felsberg (Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings, 2021)

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising - Goutam Bhat; Martin Danelljan; Fisher Yu; Luc Van Gool; Radu Timofte (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling - Jingyun Liang; Andreas Lugmayr; Kai Zhang; Martin Danelljan; Luc Van Gool; Radu Timofte (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU - Shipra Jain; Danda Pani Paudel; Martin Danelljan; Luc Van Gool (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Warp Consistency for Unsupervised Learning of Dense Correspondences - Prune Truong; Martin Danelljan; Fisher Yu; Luc Van Gool (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Learning Target Candidate Association to Keep Track of What Not to Track - Christoph Mayer; Martin Danelljan; Danda Pani Paudel; Luc Van Gool (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos - Bin Zhao; Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

The Ninth Visual Object Tracking VOT2021 Challenge Results - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, 2021)

Fast Few-Shot Classification by Few-Iteration Meta-Learning - Ardhendu Shekhar Tripathi; Martin Danelljan; Luc Van Gool; Radu Timofte (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Local Memory Attention for Fast Video Semantic Segmentation - Matthieu Paul; Martin Danelljan; Luc Van Gool; Radu Timofte (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation - Lei Ke; Xia Li; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Learning Accurate Dense Correspondences and When to Trust Them - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

Local Memory Attention for Fast Video Semantic Segmentation - Matthieu Paul; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos - Bin Zhao; Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows - Valentin Wolf; Andreas Lugmayr; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

Deep Burst Super-Resolution - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

Deep Gaussian Processes for Few-Shot Segmentation - Joakim Johnander; Johan Edstedt; Martin Danelljan; Michael Felsberg; Fahad Shahbaz Khan (CoRR, 2021)

Learning Target Candidate Association to Keep Track of What Not to Track - Christoph Mayer; Martin Danelljan; Danda Pani Paudel; Luc Van Gool (CoRR, 2021)

Warp Consistency for Unsupervised Learning of Dense Correspondences - Prune Truong; Martin Danelljan; Fisher Yu; Luc Van Gool (CoRR, 2021)

Learnable Online Graph Representations for 3D Multi-Object Tracking - Jan-Nico Zaech; Dengxin Dai; Alexander Liniger; Martin Danelljan; Luc Van Gool (CoRR, 2021)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results - Goutam Bhat; Martin Danelljan; Radu Timofte; Kazutoshi Akita; Wooyeong Cho; Haoqiang Fan; Lanpeng Jia; Daeshik Kim; Bruno Lecouat; Youwei Li; Shuaicheng Liu; Ziluan Liu; et al. (CoRR, 2021)

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation - Lei Ke; Xia Li; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (CoRR, 2021)

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling - Jingyun Liang; Andreas Lugmayr; Kai Zhang; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2021)

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising - Goutam Bhat; Martin Danelljan; Fisher Yu; Luc Van Gool; Radu Timofte (CoRR, 2021)

TADA: Taxonomy Adaptive Domain Adaptation - Rui Gong; Martin Danelljan; Dengxin Dai; Wenguan Wang; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu; Luc Van Gool (CoRR, 2021)

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network - Prune Truong; Martin Danelljan; Radu Timofte; Luc Van Gool (CoRR, 2021)

Dense Gaussian Processes for Few-Shot Segmentation - Joakim Johnander; Johan Edstedt; Michael Felsberg; Fahad Shahbaz Khan; Martin Danelljan (CoRR, 2021)

Learning Proposals for Practical Energy-Based Regression - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (CoRR, 2021)

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution - Andreas Lugmayr; Martin Danelljan; Fisher Yu; Luc Van Gool; Radu Timofte (CoRR, 2021)

Mask Transfiner for High-Quality Instance Segmentation - Lei Ke; Martin Danelljan; Xia Li; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu (CoRR, 2021)

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook - Sajid Javed; Martin Danelljan; Fahad Shahbaz Khan; Muhammad Haris Khan; Michael Felsberg; Jiri Matas (CoRR, 2021)

Efficient Visual Tracking with Exemplar Transformers - Philippe Blatter; Menelaos Kanakis; Martin Danelljan; Luc Van Gool (CoRR, 2021)

How to Train Your Energy-Based Model for Regression - Fredrik Gustafsson; Martin Danelljan; Radu Timofte; Thomas B. Schön (31st British Machine Vision Conference 2020, BMVC 2020, Virtual Event, UK, September 7-10, 2020, 2020)

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, 2020)

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results - Dario Fuoli; Zhiwu Huang; Martin Danelljan; Radu Timofte; Hua Wang; Longcun Jin; Dewei Su; Jing Liu; Jaehoon Lee; Michal Kudelski; Lukasz Bala; Dmitry Hrybov; et al. (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, 2020)

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai; Yun Cao; Junyang Chen; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, 2020)

Learning Human-Object Interaction Detection Using Interaction Points - Tiancai Wang; Tong Yang; Martin Danelljan; Fahad Shahbaz Khan; Xiangyu Zhang; Jian Sun (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences - Prune Truong; Martin Danelljan; Radu Timofte (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Probabilistic Regression for Visual Tracking - Martin Danelljan; Luc Van Gool; Radu Timofte (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Learning Fast and Robust Target Models for Video Object Segmentation - Andreas Robinson; Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results - Kai Zhang; Martin Danelljan; Yawei Li; Radu Timofte; Jie Liu; Jie Tang; Gangshan Wu; Yu Zhu; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part III, 2020)

Know Your Surroundings: Exploiting Scene Information for Object Tracking - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIII, 2020)

Energy-Based Models for Deep Probabilistic Regression - Fredrik K. Gustafsson; Martin Danelljan; Goutam Bhat; Thomas B. Schön (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XX, 2020)

The Eighth Visual Object Tracking VOT2020 Challenge Results - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part V, 2020)

Video Object Segmentation with Episodic Graph Memory Networks - Xiankai Lu; Wenguan Wang; Martin Danelljan; Tianfei Zhou; Jianbing Shen; Luc Van Gool (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III, 2020)

SRFlow: Learning the Super-Resolution Space with Normalizing Flow - Andreas Lugmayr; Martin Danelljan; Luc Van Gool; Radu Timofte (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part V, 2020)

Learning What to Learn for Video Object Segmentation - Goutam Bhat; Felix Järemo Lawin; Martin Danelljan; Andreas Robinson; Michael Felsberg; Luc Van Gool; Radu Timofte (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part II, 2020)

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation - Alexandre Carlier; Martin Danelljan; Alexandre Alahi; Radu Timofte (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Learning Fast and Robust Target Models for Video Object Segmentation - Andreas Robinson; Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2020)

Know Your Surroundings: Exploiting Scene Information for Object Tracking - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2020)

Learning What to Learn for Video Object Segmentation - Goutam Bhat; Felix Järemo Lawin; Martin Danelljan; Andreas Robinson; Michael Felsberg; Luc Van Gool; Radu Timofte (CoRR, 2020)

Probabilistic Regression for Visual Tracking - Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2020)

Learning Human-Object Interaction Detection using Interaction Points - Tiancai Wang; Tong Yang; Martin Danelljan; Fahad Shahbaz Khan; Xiangyu Zhang; Jian Sun (CoRR, 2020)

How to Train Your Energy-Based Model for Regression - Fredrik K. Gustafsson; Martin Danelljan; Radu Timofte; Thomas B. Schön (CoRR, 2020)

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai; Yun Cao; Junyang Chen; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (CoRR, 2020)

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results - Dario Fuoli; Zhiwu Huang; Martin Danelljan; Radu Timofte; Hua Wang; Longcun Jin; Dewei Su; Jing Liu; Jaehoon Lee; Michal Kudelski; Lukasz Bala; Dmitry Hrybov; et al. (CoRR, 2020)

SRFlow: Learning the Super-Resolution Space with Normalizing Flow - Andreas Lugmayr; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2020)

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture - Yawei Li; Wen Li; Martin Danelljan; Kai Zhang; Shuhang Gu; Luc Van Gool; Radu Timofte (CoRR, 2020)

Video Object Segmentation with Episodic Graph Memory Networks - Xiankai Lu; Wenguan Wang; Martin Danelljan; Tianfei Zhou; Jianbing Shen; Luc Van Gool (CoRR, 2020)

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation - Alexandre Carlier; Martin Danelljan; Alexandre Alahi; Radu Timofte (CoRR, 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results - Kai Zhang; Martin Danelljan; Yawei Li; Radu Timofte; Jie Liu; Jie Tang; Gangshan Wu; Yu Zhu; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (CoRR, 2020)

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2020)

Few-Shot Classification By Few-Iteration Meta-Learning - Ardhendu Shekhar Tripathi; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2020)

Learning Video Instance Segmentation with Recurrent Graph Neural Networks - Joakim Johnander; Emil Brissman; Martin Danelljan; Michael Felsberg (CoRR, 2020)

Accurate 3D Object Detection using Energy-Based Models - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (CoRR, 2020)

Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU - Shipra Jain; Danda Pani Paudel; Martin Danelljan; Luc Van Gool (CoRR, 2020)

Deep motion and appearance cues for visual tracking - Martin Danelljan; Goutam Bhat; Susanna Gladh; Fahad Shahbaz Khan; Michael Felsberg (Pattern Recognit. Lett., 2019)

Synthetic Data Generation for End-to-End Thermal Infrared Tracking - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer; Martin Danelljan; Fahad Shahbaz Khan (IEEE Trans. Image Process., 2019)

Tracking the Known and the Unknown by Leveraging Semantic Information - Ardhendu Shekhar Tripathi; Martin Danelljan; Luc Van Gool; Radu Timofte (30th British Machine Vision Conference 2019, BMVC 2019, Cardiff, UK, September 9-12, 2019, 2019)

ATOM: Accurate Tracking by Overlap Maximization - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

A Generative Appearance Model for End-To-End Video Object Segmentation - Joakim Johnander; Martin Danelljan; Emil Brissman; Fahad Shahbaz Khan; Michael Felsberg (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Learning the Model Update for Siamese Trackers - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer; Martin Danelljan; Fahad Shahbaz Khan (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Learning Discriminative Model Prediction for Tracking - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim; Ming Tang; Ming-Hsuan Yang; et al. (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Multi-Modal Fusion for End-to-End RGB-T Tracking - Lichao Zhang; Martin Danelljan; Abel Gonzalez-Garcia; Joost van de Weijer; Fahad Shahbaz Khan (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Unsupervised Learning for Real-World Super-Resolution - Andreas Lugmayr; Martin Danelljan; Radu Timofte (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

DIV8K: DIVerse 8K Resolution Image Dataset - Shuhang Gu; Andreas Lugmayr; Martin Danelljan; Manuel Fritsche; Julien Lamour; Radu Timofte (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results - Shuhang Gu; Hanwen Liu; Dan Zhu; Tangxin Xie; Xin Yang; Chen Zhu; Jia Yu; Wenyu Sun; Xin Tao; Zijun Deng; Liying Lu; Martin Danelljan; et al. (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results - Andreas Lugmayr; Nam Hyung Joon; Yu Seung Won; Guisik Kim; Dokyeong Kwon; Chih-Chung Hsu; Chia-Hsiang Lin; Yuanfei Huang; Xiaopeng Sun; Wen Lu; Jie Li; Martin Danelljan; et al. (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping - Sohyeong Kim; Guanju Li; Dario Fuoli; Martin Danelljan; Zhiwu Huang; Shuhang Gu; Radu Timofte (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Learning Discriminative Model Prediction for Tracking - Goutam Bhat; Martin Danelljan; Luc Van Gool; Radu Timofte (CoRR, 2019)

Discriminative Online Learning for Fast Video Object Segmentation - Andreas Robinson; Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2019)

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision - Fredrik K. Gustafsson; Martin Danelljan; Thomas B. Schön (CoRR, 2019)

Learning the Model Update for Siamese Trackers - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer; Martin Danelljan; Fahad Shahbaz Khan (CoRR, 2019)

Multi-Modal Fusion for End-to-End RGB-T Tracking - Lichao Zhang; Martin Danelljan; Abel Gonzalez-Garcia; Joost van de Weijer; Fahad Shahbaz Khan (CoRR, 2019)

Unsupervised Learning for Real-World Super-Resolution - Andreas Lugmayr; Martin Danelljan; Radu Timofte (CoRR, 2019)

DCTD: Deep Conditional Target Densities for Accurate Regression - Fredrik K. Gustafsson; Martin Danelljan; Goutam Bhat; Thomas B. Schön (CoRR, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Manuel Fritsche; Shuhang Gu; Kuldeep Purohit; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan; Nam Hyung Joon; Yu Seung Won; Guisik Kim; et al. (CoRR, 2019)

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences - Prune Truong; Martin Danelljan; Radu Timofte (CoRR, 2019)

Learning Convolution Operators for Visual Tracking - Martin Danelljan (Linköping University, Sweden, 2018)

Combining Local and Global Models for Robust Re-detection - Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (15th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2018, Auckland, New Zealand, November 27-30, 2018, 2018)

Density Adaptive Point Set Registration - Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Per-Erik Forssén; Michael Felsberg (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I, 2018)

On the Optimization of Advanced DCF-Trackers - Joakim Johnander; Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I, 2018)

Unveiling the Power of Deep Tracking - Goutam Bhat; Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II, 2018)

Density Adaptive Point Set Registration - Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Per-Erik Forssén; Michael Felsberg (CoRR, 2018)

Unveiling the Power of Deep Tracking - Goutam Bhat; Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2018)

Synthetic data generation for end-to-end thermal infrared tracking - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer; Martin Danelljan; Fahad Shahbaz Khan (CoRR, 2018)

ATOM: Accurate Tracking by Overlap Maximization - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2018)

A Generative Appearance Model for End-to-end Video Object Segmentation - Joakim Johnander; Martin Danelljan; Emil Brissman; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2018)

Discriminative Scale Space Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking - Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I, 2017)

Deep Projective 3D Semantic Segmentation - Felix Järemo Lawin; Martin Danelljan; Patrik Tosteberg; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I, 2017)

ECO: Efficient Convolution Operators for Tracking - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

The Visual Object Tracking VOT2017 Challenge Results - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, 2017)

Deep Projective 3D Semantic Segmentation - Felix Järemo Lawin; Martin Danelljan; Patrik Tosteberg; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2017)

DCCO: Towards Deformable Continuous Convolution Operators - Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2017)

Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016)

A Probabilistic Framework for Color-Based Point Set Registration - Martin Danelljan; Giulia Meneghetti; Fahad Shahbaz Khan; Michael Felsberg (2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016)

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking - Martin Danelljan; Andreas Robinson; Fahad Shahbaz Khan; Michael Felsberg (Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V, 2016)

The Visual Object Tracking VOT2016 Challenge Results - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta; Alfredo Petrosino; et al. (Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, 2016)

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results - Michael Felsberg; Matej Kristan; Jiri Matas; Ales Leonardis; Roman P. Pflugfelder; Gustav Häger; Amanda Berg; Abdelrahman Eldesokey; Jörgen Ahlberg; Luka Cehovin; Tomás Vojír; Alan Lukezic; et al. (Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, 2016)

Aligning the dissimilar: A probabilistic method for feature-based point set registration - Martin Danelljan; Giulia Meneghetti; Fahad Shahbaz Khan; Michael Felsberg (23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, 2016)

Deep motion features for visual tracking - Susanna Gladh; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, 2016)

Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV - Gustav Häger; Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Piotr Rudol; Patrick Doherty (Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I, 2016)

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking - Martin Danelljan; Andreas Robinson; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

Learning Spatially Regularized Correlation Filters for Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

Discriminative Scale Space Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

ECO: Efficient Convolution Operators for Tracking - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

Deep Motion Features for Visual Tracking - Susanna Gladh; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2016)

Learning Spatially Regularized Correlation Filters for Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, 2015)

Convolutional Features for Correlation Filter Based Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (2015 IEEE International Conference on Computer Vision Workshop, ICCV Workshops 2015, Santiago, Chile, December 7-13, 2015, 2015)

Coloring Channel Representations for Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (Image Analysis - 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, 2015)

Image Alignment for Panorama Stitching in Sparsely Structured Environments - Giulia Meneghetti; Martin Danelljan; Michael Felsberg; Klas Nordberg (Image Analysis - 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, 2015)

Accurate Scale Estimation for Robust Visual Tracking - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (British Machine Vision Conference, BMVC 2014, Nottingham, UK, September 1-5, 2014, 2014)

Adaptive Color Attributes for Real-Time Visual Tracking - Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost van de Weijer (2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014, 2014)

The Visual Object Tracking VOT2014 Challenge Results - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Luka Cehovin; Georg Nebehay; Tomás Vojír; Gustavo Fernández; Alan Lukezic; Aleksandar Dimitriev; Alfredo Petrosino; Amir Saffari; et al. (Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II, 2014)

A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems - Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Karl Granström; Fredrik Heintz; Piotr Rudol; Mariusz Wzorek; Jonas Kvarnström; Patrick Doherty (Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I, 2014)