Michael Felsberg

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All published works

Action	Title	Year	Authors
+ PDF Chat	All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages	2024	Ashmal Vayani D. Dissanayake Hasindri Watawana Noor Ahsan Nevasini Sasikumar Omkar Thawakar Henok Biadglign Ademtew Yahya Hmaiti Amandeep Kumar Kartik Kuckreja
+ PDF Chat	Affine steerers for structured keypoint description	2024	Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl
+ PDF Chat	Prior Learning in Introspective VAEs	2024	Ioannis N. Athanasiadis S. Nagarajan Fredrik Lindsten Michael Felsberg
+ PDF Chat	Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning	2024	Arvi Jonnarth Ola Johansson Michael Felsberg
+ PDF Chat	Disentangling Quantum Classifiers: Simplex Edge Mapping for Few-Sample Confidence	2024	Nathaniel Helgesen Michael Felsberg Jan-Åke Larsson
+ PDF Chat	NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving	2024	William Ljungbergh Adam Tonderski Joakim Johnander Holger Caesar Kalle Åström Michael Felsberg Christoffer Petersson
+ PDF Chat	Composed Video Retrieval via Enriched Context and Discriminative Embeddings	2024	Omkar Thawakar Muzammal Naseer Rao Muhammad Anwer Salman Khan Michael Felsberg Mubarak Shah Fahad Shahbaz Khan
+ PDF Chat	SeTformer Is What You Need for Vision and Language	2024	Pourya Shamsolmoali Masoumeh Zareapoor Éric Granger Michael Felsberg
+ PDF Chat	DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching	2024	Johan Edstedt Georg Bökman Mårten Wadenbäck Michael Felsberg
+ PDF Chat	DiffSF: Diffusion Models for Scene Flow Estimation	2024	Yushan Zhang Bastian Wandt Maria Magnusson Michael Felsberg
+ PDF Chat	MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT	2024	Omkar Thawakar Ashmal Vayani Salman Khan Hisham Cholakal Rao Muhammad Anwer Michael Felsberg Tim Baldwin Eric P. Xing Fahad Shahbaz Khan
+ PDF Chat	PALO: A Polyglot Large Multimodal Model for 5B People	2024	Muhammad Maaz Hanoona Rasheed Abdelrahman Shaker Salman Khan Hisham Cholakal Rao Muhammad Anwer Tim Baldwin Michael Felsberg Fahad Said Khan
+ PDF Chat	Leveraging the Power of Data Augmentation for Transformer-based Tracking	2024	Jie Zhao Johan Edstedt Michael Felsberg Dong Wang Huchuan Lu
+	SeTformer is What You Need for Vision and Language	2024	Pourya Shamsolmoali Masoumeh Zareapoor Éric Granger Michael Felsberg
+ PDF Chat	DKM: Dense Kernelized Feature Matching for Geometry Estimation	2023	Johan Edstedt Ioannis N. Athanasiadis Mårten Wadenbäck Michael Felsberg
+ PDF Chat	Balanced Product of Calibrated Experts for Long-Tailed Recognition	2023	Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann
+	Raw or Cooked? Object Detection on RAW Images	2023	William Ljungbergh Joakim Johnander Christoffer Petersson Michael Felsberg
+	Flow-guided Semi-supervised Video Object Segmentation	2023	Yushan Zhang Andreas Robinson Maria Magnusson Michael Felsberg
+	High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation	2023	Arvi Jonnarth Yushan Zhang Michael Felsberg
+ PDF Chat	Evidential Deep Learning for Class-Incremental Semantic Segmentation	2023	Karl Holmquist Lena M. Klasen Michael Felsberg
+ PDF Chat	Raw or Cooked? Object Detection on RAW Images	2023	William Ljungbergh Joakim Johnander Christoffer Petersson Michael Felsberg
+	RoMa: Robust Dense Feature Matching	2023	Johan Edstedt Qiyu Sun Georg Bökman Mårten Wadenbäck Michael Felsberg
+	Learning Deep O($n$)-Equivariant Hyperspheres	2023	Pavlo Melnyk Michael Felsberg Mårten Wadenbäck Andreas Robinson Cuong Phu Le
+	GMSF: Global Matching Scene Flow	2023	Yushan Zhang Johan Edstedt Bastian Wandt Per-Erik Forssén Maria Magnusson Michael Felsberg
+	Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning	2023	Emanuel Sanchez Aimar Hannah Helgesen Michael Felsberg Marco Kuhlmann
+	Learning Coverage Paths in Unknown Environments with Reinforcement Learning	2023	Arvi Jonnarth Jie Zhao Michael Felsberg
+	Learning to Augment: Hallucinating Data for Domain Generalized Segmentation	2023	Qiyu Sun Pavlo Melnyk Michael Felsberg Yang Tang
+	DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching	2023	Johan Edstedt Georg Bökman Mårten Wadenbäck Michael Felsberg
+	IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation	2023	Qiyu Sun Huilin Chen Meng Zheng Ziyan Wu Michael Felsberg Yang Tang
+	Leveraging the Power of Data Augmentation for Transformer-based Tracking	2023	Jie Zhao Johan Edstedt Michael Felsberg Dong Wang Huchuan Lu
+	Certainty In, Certainty Out: REVQCs for Quantum Machine Learning	2023	Hannah Helgesen Michael Felsberg Jan-Åke Larsson
+	Steerers: A framework for rotation equivariant keypoint descriptors	2023	Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl
+ PDF Chat	VidHarm: A Clip Based Dataset for Harmful Content Detection	2022	Johan Edstedt Amanda Berg Michael Felsberg Johan Karlsson Francisca Benavente Anette Novak Gustav Grund Pihlgren
+ PDF Chat	Balanced Product of Experts for Long-Tailed Recognition	2022	Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann
+ PDF Chat	Learning To Integrate Vision Data Into Road Network Data	2022	Oliver Stromann Alireza Razavi Michael Felsberg
+ PDF Chat	Importance Sampling Cams For Weakly-Supervised Segmentation	2022	Arvi Jonnarth Michael Felsberg
+ PDF Chat	Dense Gaussian Processes for Few-Shot Segmentation	2022	Joakim Johnander Johan Edstedt Michael Felsberg Fahad Shahbaz Khan Martin Danelljan
+	Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer	2022	Omkar Thawakar Sanath Narayan Jiale Cao Hisham Cholakkal Rao Muhammad Anwer Muhammad Haris Khan Salman Khan Michael Felsberg Fahad Shahbaz Khan
+	Visual Feature Encoding for GNNs on Road Networks	2022	Oliver Stromann Alireza Razavi Michael Felsberg
+	DKM: Dense Kernelized Feature Matching for Geometry Estimation	2022	Johan Edstedt Mårten Wadenbäck Michael Felsberg
+	Importance Sampling CAMs for Weakly-Supervised Segmentation	2022	Arvi Jonnarth Michael Felsberg Yushan Zhang
+	Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook	2022	Sajid Javed Martin Danelljan Fahad Shahbaz Khan Muhammad Haris Khan Michael Felsberg Jiřı́ Matas
+	Balanced Product of Calibrated Experts for Long-Tailed Recognition	2022	Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann
+	TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis	2022	Pavlo Melnyk Andreas Robinson Mårten Wadenbäck Michael Felsberg
+	Evidential Deep Learning for Class-Incremental Semantic Segmentation	2022	Karl Holmquist Lena M. Klasen Michael Felsberg
+ PDF Chat	DoodleFormer: Creative Sketch Drawing with Transformers	2022	Ankan Kumar Bhunia Salman Khan Hisham Cholakkal Rao Muhammad Anwer Fahad Shahbaz Khan Jorma Laaksonen Michael Felsberg
+ PDF Chat	Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer	2022	Omkar Thawakar Sanath Narayan Jiale Cao Hisham Cholakkal Rao Muhammad Anwer Muhammad Haris Khan Salman Khan Michael Felsberg Fahad Shahbaz Khan
+	Graph representation learning for road type classification	2021	Zahra Gharaee Shreyas Kowshik Oliver Stromann Michael Felsberg
+	Is this Harmful? Learning to Predict Harmfulness Ratings from Video	2021	Johan Edstedt Johan Karlsson Francisca Benavente Anette Novak Amanda Berg Michael Felsberg
+	Fully Steerable 3D Spherical Neurons	2021	Pavlo Melnyk Michael Felsberg Mårten Wadenbäck
+	A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control	2021	Zahra Gharaee Karl Holmquist Linbo He Michael Felsberg
+	Normalized Convolution Upsampling for Refined Optical Flow Estimation.	2021	Abdelrahman Eldesokey Michael Felsberg
+ PDF Chat	A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control	2021	Zahra Gharaee Karl Holmquist Linbo He Michael Felsberg
+	Normalized Convolution Upsampling for Refined Optical Flow Estimation	2021	Abdelrahman Eldesokey Michael Felsberg
+	Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook	2021	Sajid Javed Martin Danelljan Fahad Shahbaz Khan Muhammad Haris Khan Michael Felsberg Jiřı́ Matas
+	Learning to integrate vision data into road network data	2021	Oliver Stromann Alireza Razavi Michael Felsberg
+	DoodleFormer: Creative Sketch Drawing with Transformers	2021	Ankan Kumar Bhunia Salman A. Khan Hisham Cholakkal Rao Muhammad Anwer Fahad Shahbaz Khan Jorma Laaksonen Michael Felsberg
+	VidHarm: A Clip Based Dataset for Harmful Content Detection	2021	Johan Edstedt Amanda Berg Michael Felsberg Johan Karlsson Francisca Benavente Anette Novak Gustav Grund Pihlgren
+	Steerable 3D Spherical Neurons	2021	Pavlo Melnyk Michael Felsberg Mårten Wadenbäck
+	A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control	2021	Zahra Gharaee Karl Holmquist Linbo He Michael Felsberg
+	Deep Gaussian Processes for Few-Shot Segmentation	2021	Joakim Johnander Johan Edstedt Martin Danelljan Michael Felsberg Fahad Shahbaz Khan
+	Normalized Convolution Upsampling for Refined Optical Flow Estimation	2021	Abdelrahman Eldesokey Michael Felsberg
+	Dense Gaussian Processes for Few-Shot Segmentation	2021	Joakim Johnander Johan Edstedt Michael Felsberg Fahad Shahbaz Khan Martin Danelljan
+	Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End	2020	Abdelrahman Eldesokey Michael Felsberg Karl Holmquist Mikael Persson
+ PDF Chat	Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End	2020	Abdelrahman Eldesokey Michael Felsberg Karl Holmquist Michael Persson
+ PDF Chat	Learning Fast and Robust Target Models for Video Object Segmentation	2020	Andreas Robinson Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	Learning What to Learn for Video Object Segmentation	2020	Goutam Bhat Felix Järemo Lawin Martin Danelljan Andreas Robinson Michael Felsberg Luc Van Gool Radu Timofte
+	Learning Fast and Robust Target Models for Video Object Segmentation	2020	Andreas Robinson Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Learning What to Learn for Video Object Segmentation	2020	Goutam Bhat Felix Järemo Lawin Martin Danelljan Andreas Robinson Michael Felsberg Luc Van Gool Radu Timofte
+	Learning Video Instance Segmentation with Recurrent Graph Neural Networks	2020	Joakim Johnander Emil Brissman Martin Danelljan Michael Felsberg
+	Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End	2020	Abdelrahman Eldesokey Michael Felsberg Karl Holmquist Mikael Persson
+	Learning What to Learn for Video Object Segmentation	2020	Goutam Bhat Felix Järemo Lawin Martin Danelljan Andreas Robinson Michael Felsberg Luc Van Gool Radu Timofte
+	Learning Fast and Robust Target Models for Video Object Segmentation	2020	Andreas Robinson Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System	2019	Tobias Klamt Małgorzata Kameduła Hakan Karaoğuz Navvab Kashiri Arturo Laurenzi Christian Lenz Daniele Leonardis Enrico Mingo Hoffman Luca Muratore Dmytro Pavlichenko
+	Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System	2019	Tobias Klamt Diego Rodríguez Lorenzo Baccelliere Xi Chen Domenico Chiaradia Torben Cichon Massimiliano Gabardi Paolo Guria Karl Holmquist Małgorzata Kameduła
+ PDF Chat	Confidence Propagation through CNNs for Guided Sparse Depth Regression	2019	Abdelrahman Eldesokey Michael Felsberg Fahad Shahbaz Khan
+ PDF Chat	A Generative Appearance Model for End-To-End Video Object Segmentation	2019	Joakim Johnander Martin Danelljan Emil Brissman Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	ATOM: Accurate Tracking by Overlap Maximization	2019	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Discriminative Online Learning for Fast Video Object Segmentation	2019	Andreas Robinson Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training	2019	Amanda Berg Jörgen Ahlberg Michael Felsberg
+	Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System	2019	Tobias Klamt Diego Rodríguez Rodríguez Lorenzo Baccelliere Xi Chen Domenico Chiaradia Torben Cichon Massimiliano Gabardi Paolo Guria Karl Holmquist Małgorzata Kameduła
+ PDF Chat	Density Adaptive Point Set Registration	2018	Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Per-Erik Forssén Michael Felsberg
+	Unveiling the Power of Deep Tracking	2018	Goutam Bhat Joakim Johnander Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	Density Adaptive Point Set Registration	2018	Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Per-Erik Forssén Michael Felsberg
+	Propagating Confidences through CNNs for Sparse Data Regression	2018	Abdelrahman Eldesokey Michael Felsberg Fahad Shahbaz Khan
+ PDF Chat	Unveiling the Power of Deep Tracking	2018	Goutam Bhat Joakim Johnander Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	Propagating Confidences through CNNs for Sparse Data Regression	2018	Abdelrahman Eldesokey Michael Felsberg Fahad Shahbaz Khan
+	A Generative Appearance Model for End-to-end Video Object Segmentation	2018	Joakim Johnander Martin Danelljan Emil Brissman Fahad Shahbaz Khan Michael Felsberg
+	ATOM: Accurate Tracking by Overlap Maximization	2018	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Density Adaptive Point Set Registration	2018	Felix Järemo Lawin Martin Danelljan Fahad Shahbaz Khan Per-Erik Forssén Michael Felsberg
+	Unveiling the Power of Deep Tracking	2018	Goutam Bhat Joakim Johnander Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Scale coding bag of deep features for human attribute and action recognition	2017	Fahad Shahbaz Khan Joost van de Weijer Rao Muhammad Anwer Andrew D. Bagdanov Michael Felsberg Jorma Laaksonen
+ PDF Chat	ECO: Efficient Convolution Operators for Tracking	2017	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Deep Projective 3D Semantic Segmentation	2017	Felix Järemo Lawin Martin Danelljan Patrik Tosteberg Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Deep Projective 3D Semantic Segmentation	2017	Felix Järemo Lawin Martin Danelljan Patrik Tosteberg Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	DCCO: Towards Deformable Continuous Convolution Operators	2017	Joakim Johnander Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	Deep Projective 3D Semantic Segmentation	2017	Felix Järemo Lawin Martin Danelljan Patrik Tosteberg Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Deep Motion Features for Visual Tracking	2016	Susanna Gladh Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Deep motion features for visual tracking	2016	Susanna Gladh Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	ECO: Efficient Convolution Operators for Tracking	2016	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Discriminative Scale Space Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+	Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Discriminative Scale Space Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+	Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game	2016	Kristoffer Öfjäll Michael Felsberg
+	Efficient Robust Mean Value Calculation of 1D Features	2016	Erik Jonsson Michael Felsberg
+ PDF Chat	Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking	2016	Martin Danelljan Andreas Robinson Fahad Shahbaz Khan Michael Felsberg
+	Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game	2016	Kristoffer Öfjäll Michael Felsberg
+	Deep Motion Features for Visual Tracking	2016	Susanna Gladh Martin Danelljan Fahad Shahbaz Khan Michael Felsberg
+	ECO: Efficient Convolution Operators for Tracking	2016	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg
+	Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+	Discriminative Scale Space Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+ PDF Chat	Learning Spatially Regularized Correlation Filters for Visual Tracking	2015	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg
+	Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game	2012	Kristoffer Öfjäll Michael Felsberg
+ PDF Chat	P-Channels: Robust Multivariate M-Estimation of Large Datasets	2006	Michael Felsberg Goesta H. Granlund
+	The Monogenic Scale Space on a Rectangular Domain and its Features	2005	Michael Felsberg Remco Duits Luc Florack
+	B-spline channel smoothing for robust estimation	2004	Michael Felsberg Per-Erik Forssén Hanno Scharr
+	Alpha scale spaces on a bounded domain	2003	Remco Duits Michael Felsberg Lmj Luc Florack Bram Platel
+ PDF Chat	α Scale Spaces on a Bounded Domain	2003	Remco Duits Michael Felsberg Luc Florack Bram Platel
+	The B-Spline Channel Representation: Channel Algebra and Channel Based Diffusion Filtering	2002	Michael Felsberg Hanno Scharr Per-Erik Forssén
+	The Poisson Scale-Space: A Unified Approach to Phase-Based Image Processing in Scale-Space	2002	Michael Felsberg Gerald Sommer
+	Commutative Hypercomplex Fourier Transforms of Multidimensional Signals	2001	Michael Felsberg Thomas Bülow Gerald Sommer
+	Non-commutative Hypercomplex Fourier Transforms of Multidimensional Signals	2001	Thomas Bülow Michael Felsberg Gerald Sommer
+	Fast Algorithms of Hypercomplex Fourier Transforms	2001	Michael Felsberg Thomas Bülow Gerald Sommer Vladimir M. Chernov
+	The Multidimensional Isotropic Generalization of Quadrature Filters in Geometric Algebra	2000	Michael Felsberg Gerald Sommer
+	Optimized Fast Algorithms for the Quaternionic Fourier Transform	1999	Michael Felsberg Gerald Sommer

Common Coauthors

Coauthor	Papers Together
Fahad Shahbaz Khan	46
Martin Danelljan	41
Johan Edstedt	16
Goutam Bhat	14
Joakim Johnander	13
Felix Järemo Lawin	13
Karl Holmquist	11
Andreas Robinson	11
Mårten Wadenbäck	9
Abdelrahman Eldesokey	9
Rao Muhammad Anwer	9
Arvi Jonnarth	8
G Hager	7
Gerald Sommer	6
Per-Erik Forssén	6
Georg Bökman	5
Hisham Cholakkal	5
Yushan Zhang	5
Pavlo Melnyk	5
Omkar Thawakar	5
Oliver Stromann	4
Emanuel Sanchez Aimar	4
Zahra Gharaee	4
Amanda Berg	4
Jorma Laaksonen	4
Marco Kuhlmann	4
Christoffer Petersson	3
Fabian Schilling	3
Daniele Leonardis	3
Jürgen Roßmann	3
Małgorzata Kameduła	3
Zeyu Ren	3
Salman Khan	3
Michael Gustmann	3
Patric Jensfelt	3
Sven Behnke	3
Lorenzo Baccelliere	3
Kristoffer Öfjäll	3
Alireza Razavi	3
William Ljungbergh	3
Max Schwarz	3
Emil Brissman	3
Muhammad Haris Khan	3
Torben Cichon	3
Susanna Gladh	3
Radu Timofte	3
Francesco Porcini	3
Hakan Karaog̃uz	3
Tobias Klamt	3
Nikos G. Tsagarakis	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	16
+ PDF Chat	High-Speed Tracking with Kernelized Correlation Filters	2014	João F. Henriques Rui Caseiro Pedro Martins Jorge Batista	11
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	8
+ PDF Chat	ATOM: Accurate Tracking by Overlap Maximization	2019	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg	7
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	7
+ PDF Chat	FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation	2019	Paul Voigtlaender Yuning Chai Florian Schroff Hartwig Adam Bastian Leibe Liang-Chieh Chen	7
+ PDF Chat	ECO: Efficient Convolution Operators for Tracking	2017	Martin Danelljan Goutam Bhat Fahad Shahbaz Khan Michael Felsberg	7
+ PDF Chat	Learning Multi-domain Convolutional Neural Networks for Visual Tracking	2016	Hyeonseob Nam Bohyung Han	6
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	6
+ PDF Chat	Video Object Segmentation without Temporal Information	2018	Kevis-Kokitsi Maninis Sergi Caelles Y. Chen Jordi Pont-Tuset Laura Leal-Taixé Daniel Cremers Luc Van Gool	6
+ PDF Chat	VideoMatch: Matching Based Video Object Segmentation	2018	Yuan-Ting Hu Jia‐Bin Huang Alexander G. Schwing	6
+ PDF Chat	One-Shot Video Object Segmentation	2017	Sergi Caelles Kevis-Kokitsi Maninis Jordi Pont-Tuset Laura Leal-Taixé Daniel Cremers Luc Van Gool	6
+ PDF Chat	Learning Video Object Segmentation from Static Images	2017	Federico Perazzi Anna Khoreva Rodrigo Benenson Bernt Schiele Alexander Sorkine‐Hornung	6
+ PDF Chat	Learning Spatially Regularized Correlation Filters for Visual Tracking	2015	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg	6
+ PDF Chat	Correlation filters with limited boundaries	2015	Hamed Kiani Galoogahi Terence Sim Simon Lucey	6
+	Online Adaptation of Convolutional Neural Networks for Video Object Segmentation	2017	Paul Voigtlaender Bastian Leibe	6
+ PDF Chat	Learning Discriminative Model Prediction for Tracking	2019	Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte	6
+ PDF Chat	Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking	2016	Martin Danelljan Andreas Robinson Fahad Shahbaz Khan Michael Felsberg	6
+ PDF Chat	YouTube-VOS: Sequence-to-Sequence Video Object Segmentation	2018	Ning Xu Linjie Yang Yuchen Fan Shuicheng Yan Dingcheng Yue Yuchen Liang Brian Price Scott Cohen Thomas S. Huang	6
+ PDF Chat	Staple: Complementary Learners for Real-Time Tracking	2016	Luca Bertinetto Jack Valmadre Stuart Golodetz Ondřej Mikšík Philip H. S. Torr	6
+ PDF Chat	Fast Online Object Tracking and Segmentation: A Unifying Approach	2019	Qiang Wang Li Zhang Luca Bertinetto Weiming Hu Philip H. S. Torr	5
+ PDF Chat	Fully-Convolutional Siamese Networks for Object Tracking	2016	Luca Bertinetto Jack Valmadre João F. Henriques Andrea Vedaldi Philip H. S. Torr	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+ PDF Chat	Tracking Emerges by Colorizing Videos	2018	Carl Vondrick Abhinav Shrivastava Alireza Fathi Sergio Guadarrama Kevin Murphy	5
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	2021	Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin Baining Guo	5
+ PDF Chat	PReMVOS: Proposal-Generation, Refinement and Merging for Video Object Segmentation	2019	Jonathon Luiten Paul Voigtlaender Bastian Leibe	5
+ PDF Chat	Efficient Video Object Segmentation via Network Modulation	2018	Linjie Yang Yanran Wang Xuehan Xiong Shuicheng Yan Aggelos K. Katsaggelos	5
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	5
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	5
+ PDF Chat	Learning a Discriminative Feature Network for Semantic Segmentation	2018	Changqian Yu Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang	5
+ PDF Chat	A Generative Appearance Model for End-To-End Video Object Segmentation	2019	Joakim Johnander Martin Danelljan Emil Brissman Fahad Shahbaz Khan Michael Felsberg	5
+	YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark	2018	Ning Xu Linjie Yang Yuchen Fan Dingcheng Yue Yuchen Liang Shuicheng Yan Thomas S. Huang	5
+	Return of the Devil in the Details: Delving Deep into Convolutional Nets	2014	Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman	4
+ PDF Chat	Unveiling the Power of Deep Tracking	2018	Goutam Bhat Joakim Johnander Martin Danelljan Fahad Shahbaz Khan Michael Felsberg	4
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	4
+ PDF Chat	RANet: Ranking Attention Network for Fast Video Object Segmentation	2019	Ziqin Wang Jun Xu Li Liu Fan Zhu Ling Shao	4
+ PDF Chat	Discriminative Scale Space Tracking	2016	Martin Danelljan G Hager Fahad Shahbaz Khan Michael Felsberg	4
+ PDF Chat	Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning	2018	Yuhua Chen Jordi Pont-Tuset Alberto Montes Luc Van Gool	4
+ PDF Chat	Video Object Segmentation Using Space-Time Memory Networks	2019	Seoung Wug Oh Joon‐Young Lee Ning Xu Seon Joo Kim	4
+ PDF Chat	Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation	2018	Xiaoxiao Li Chen Change Loy	4
+ PDF Chat	Fast and Accurate Online Video Object Segmentation via Tracking Parts	2018	Jingchun Cheng Yi–Hsuan Tsai Wei-Chih Hung Shengjin Wang Ming–Hsuan Yang	4
+ PDF Chat	CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF	2018	Linchao Bao Baoyuan Wu Wei Liu	4
+ PDF Chat	SegFlow: Joint Learning for Video Object Segmentation and Optical Flow	2017	Jingchun Cheng Yi–Hsuan Tsai Shengjin Wang Ming–Hsuan Yang	4
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	3
+ PDF Chat	The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification	2015	Lingqiao Liu Chunhua Shen Anton van den Hengel	3
+ PDF Chat	Deep Convolutional Compressed Sensing for LiDAR Depth Completion	2019	Nathaniel Chodosh Chaoyang Wang Simon Lucey	3
+	Normalized and differential convolution	2002	Hans Knutsson C.-F. Westin	3
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