previosly_compiled_papers.md

A review of 28 free animal-tracking software applications: current features and limitations
Veronica Panadeiro, Alvaro Rodriguez, Jason Henry, Donald Wlodkowic , Magnus Andersson
In Nature Lab Animals 2022
ConstrastivePose: A contrastive learning approach for self-supervised feature engineering for pose estimation and behavorial classification of interacting animals
Tianxun Zhou, Calvin Chee Hoe Cheah, Eunice Wei Mun Chin, Jie Chen, Hui Jia Farm, Eyleen Lay Keow Goh, Keng Hwee Chiam
In biorxiv 2022
A-SOiD, an active learning platform for expert-guided, data efficient discovery of behavior
Jens F. Schweihoff, Alexander I. Hsu, Martin K. Schwarz, Eric A. Yttri
In biorxiv 2022
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors
Alexander I. Hsu, Eric A. Yttri
In Nature Communications 2022
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior
Jennifer J. Sun, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Zachary Partridge, Alice Robie, Catherine E. Schretter, Chao Sun, Keith Sheppard, Param Uttarwar, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
In arxiv 2022
Estimation of skeletal kinematics in freely moving rodents
Arne Monsees, Kay-Michael Voit, Damian J. Wallace, Juergen Sawinski, Edyta Charyasz, Klaus Scheffler, Jakob H. Macke, Jason N. D. Kerr
In Nature Methods 2022
OpenLabCluster: Active Learning Based Clustering and Classification of Animal Behaviors in Videos Based on Automatically Extracted Kinematic Body Keypoints
Jingyuan Li, Moishe Keselman, Eli Shlizerman
In biorxiv 2022
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
In NeurIPS 2022
Evaluation of mouse behavioral responses to nutritive versus nonnutritive sugar using a deep learning-based 3D real-time pose estimation system
Jineun Kim, Dae-gun Kim, Wongyo Jung, Greg S. B. Suh
In biorxiv 2022
Development of a new 3D tracking system for multiple marmosets under free-moving conditions
Terumi Yurimoto, Wakako Kumita, Kenya Sato, Rika Kikuchi, Yusuke Shibuki, Rino Hashimoto, Michiko Kamioka, Yumi Hayasegawa, Eiko Yamazaki, Yoko Kurotaki, Norio Goda, Junichi Kitakami, Tatsuya Fujita, Takashi Inoue, Erika Sasaki
In biorxiv 2022
LabGym: quantification of user-defined animal behaviors using learning-based holistic assessment
Yujia Hu, Carrie R. Ferrario, Alexander D. Maitland, Rita B. Ionides, Anjesh Ghimire, Brendon Watson, Kenichi Iwasaki, Hope White, Yitao Xi, Jie Zhou, Bing Ye
In biorxiv 2022
BehaviorDEPOT is a simple, flexible tool for automated behavioral detection based on markerless pose tracking
Christopher J Gabriel, Zachary Zeidler, Benita Jin, Changliang Guo, Caitlin M Goodpaster, Adrienne Q Kashay, Anna Wu, Molly Delaney, Jovian Cheung, Lauren E DiFazio, Melissa J Sharpe, Daniel Aharoni, Scott A Wilke, Laura A DeNardo
In eLife 2022
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou
In arxiv 2022
Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities
Le Jiang, Caleb Lee, Divyang Teotia, Sarah Ostadabbas
In Computer Vision and Image Understanding (CVIU) 2022
3D pose estimation enables virtual head fixation in freely moving rats
Artur Schneider, Christian Zimmermann, Mansour Alyahyay, Florian Steenbergen, Thomas Brox, Ilka Diester
In Neuron 2022
Natural behavior is the language of the brain
Cory T. Miller, David Gire, Kim Hoke, Alexander C. Huk, Darcy Kelley, David A. Leopold, Matthew C. Smear, Frederic Theunissen, Michael Yartsev, Cristopher M. Niell
In Current Biology 2022
Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments
Markus Marks, Jin Qiuhan, Oliver Sturman, Lukas von Ziegler, Sepp Kollmorgen, Wolfger von der Behrens, Valerio Mante, Johannes Bohacek, Mehmet Fatih Yanik
In Nature Machine Intelligence 2022
EXPLORE: A novel deep learning-based analysis method for exploration behaviour in object recognition tests
Victor Iba˜nez, Laurens Bohlen, Francesca Manuell, Isabelle Mansuy, Fritjof Helmchen, Anna-Sophia Wahl
In biorxiv 2022
Multi-animal behavioral tracking and environmental reconstruction using drones and computer vision in the wild
Benjamin Koger, Adwait Deshpande, Jeffrey T. Kerby, Jacob M. Graving, Blair R. Costelloe, Iain D. Couzin
In biorxiv 2022
TRex, a fast multi-animal tracking system with markerless identification, 2D body posture estimation and visual field reconstruction
Tristan Walter, Iain D Couzin
In eLife 2021
Unsupervised behaviour analysis and magnification (uBAM) using deep learning
Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
In Nature Machine Intelligence 2021
Leaving Flatland: Advances in 3D behavioral measurement
Jesse D. Marshall, Tianqing Li, Joshua H. Wu, Timothy W. Dunn
In Current Opinion in Neurobiology 2022
Improved Markerless 3D Animal Pose Estimation Using Temporal Semi-Supervision
Tianqing Li, Kyle S. Severson, Fan Wang, Timothy W. Dunn
In CV4Animal workshop at CVPR 2022
A whole-body musculoskeletal model of the mouse
Shravan Tata Ramalingasetty, Simon M. Danner, Jonathan Arreguit, Sergey N. Markin, Dimitri Rodarie, Claudia Kathe, Grégoire Courtine, Ilya A. Rybak, Auke Ijspeert
In IEEE Access 2021
AVATAR: AI Vision Analysis for Three-dimensional Action in Real-time
Dae-Gun Kim, Anna Shin, Yong-Cheol Jeong, Seahyung Park, Daesoo Kim
In biorxiv 2022
TAVA: Template-free Animatable Volumetric Actors
Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhoefer, Jurgen Gall, Angjoo Kanazawa, Christoph Lassner
In ECCV 2022
Selfee, Self-supervised Features Extraction of animal behaviors
Yinjun Jia, Shuaishuai Li, Xuan Guo, Bo Lei, Junqiang Hu, Xiao-Hong Xu, Wei Zhang
In Elife 2022
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework
Ari Blau, Christoph Gebhardt, Andres Bendesky, Liam Paninski, Anqi Wu
In arxiv 2022
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu
In CVPR 2022 (oral)
Multi-animal pose estimation, identification and tracking with DeepLabCut
Jessy Lauer, Mu Zhou, Shaokai Ye, William Menegas, Steffen Schneider, Tanmay Nath, Mohammed Mostafizur Rahman, Valentina Di Santo, Daniel Soberanes, Guoping Feng, Venkatesh N. Murthy, George Lauder, Catherine Dulac, Mackenzie Weygandt Mathis, Alexander Mathis
In Nature Methods 2022
SLEAP: A deep learning system for multi-animal pose tracking
Talmo D. Pereira, Nathaniel Tabris, Arie Matsliah, David M. Turner, Junyu Li, Shruthi Ravindranath, Eleni S. Papadoyannis, Edna Normand, David S. Deutsch, Z. Yan Wang, Grace McKenzie-Smith, Catalin C. Mitelut, Marielisa Diez Castro, John D'Uva, Mikhail Kislin, Dan H. Sanes, Sarah D. Kocher, Samuel S.-H. Wang, Annegret L. Falkner, Joshua W. Shaevitz, Mala Murthy
In Nature Methods 2022
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information
Nadine Ruegg, Silvia Zuffi, Konrad Schindler, Michael J. Black
In CVPR 2022
Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography
Christian L. Ebbesen, Robert C. Froemke
In Nature Communications 2022
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
In CVPR 2022
Overcoming the Domain Gap in Neural Action Representations
Semih Gunel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua
In arxiv 2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP
Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty
In BMVC 2021
Muti-view Mouse Social Behaviour Recognition with Deep Graphic Model
Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou
In TIP 2021
MouseVenue3D: A Markerless Three-Dimension Behavioral Tracking System for Matching Two-Photon Brain Imaging in Free-Moving Mice
Yaning Han, Kang Huang, Ke Chen, Hongli Pan, Furong Ju, Yueyue Long, Gao Gao, Runlong Wu, Aimin Wang, Liping Wang, Pengfei Wei
In Neuroscience Bulletin 2021
Multi-camera real-time threedimensional tracking of multiple flying animals
Andrew D. Straw, Kristin Branson, Titus R. Neumann, Michael H. Dickinson
In J. R. Soc. Interface 2011
The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice
Cristina Segalin, Jalani Williams, Tomomi Karigo, May Hui, Moriel Zelikowsky, Jennifer J Sun, Pietro Perona, David J Anderson, Ann Kennedy
In eLife 2021
Self-Supervised Keypoint Discovery in Behavioral Videos
Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
In arxiv 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
In NeurIPS (Dataset & Benchmarks) 2021
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
In CVPR 2021 (Best Student Paper Award)
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li, Gim Hee Lee
In NeurIPS 2021
Hierarchical organization of rhesus macaque behavior
Benjamin Voloh, Benjamin R. Eisenreich, David J-N. Maisson, R. Becket Ebitz, Hyun Soo Park, Benjamin Y. Hayden, Jan Zimmermann
In biorxiv 2021
Anipose: a toolkit for robust markerless 3D pose estimation
Pierre Karashchuk, Katie L. Rupp, Evyn S. Dickinson, SarahWalling-Bell, Elischa Sanders, Eiman Azim, Bingni W. Brunton, John C. Tuthill
In Cell Reports (Resource) 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models
Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
In NeurIPS 2021
The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation
Jesse Marshall, Ugne Klibaite, Amanda Gellis, Diego Aldarondo, Bence O¨lveczky, Tim Dunn
In NeurIPS 2021
Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal, Dmitry Rinberg, Cristina Savin
In NeurIPS 2021
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner
In ICCV 2021
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
Roman Shapovalov, David Novotny, Benjamin Graham, Patrick Labatut, Andrea Vedaldi
In ICCV 2021
Body language signals for rodent social communication
Christian L. Ebbesen, Robert C. Froemke
In Current Opinion in Neurobiology 2021
coding of facial expressions of pain in the laboratory mouse
Dale J Langford, Andrea L Bailey, Mona Lisa Chanda, Sarah E Clarke, Tanya E Drummond, Stephanie Echols, Sarah Glick, Joelle Ingrao, Tammy Klassen-Ross, Michael L LaCroix-Fralish, Lynn Matsumiya, Robert E Sorge, Susana G Sotocinal, John M Tabaka, David Wong, Arn M J M van den Maagdenberg, Michel D Ferrari, Kenneth D Craig, Jeffrey S Mogil
In Nature Methods (brief communications) 2010
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, Dacheng Tao
In NeurIPS 2021
DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
Estibaliz Gómez-de-Mariscal, Carlos García-López-de-Haro, Wei Ouyang, Laurène Donati, Emma Lundberg, Michael Unser, Arrate Muñoz-Barrutia, Daniel Sage
In Nature Methods (brief communication) 2021
idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
Francisco Romero-Ferrero, Mattia G. Bergomi, Robert C. Hinz, Francisco J. H. Heras, Gonzalo G. de Polavieja
In Nature Methods (Brief Communication) 2019
OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Tracking of Non-human Primates
Yuan Yao, Abhiraj Mohan, Eliza Bliss-Moreau, Kristine Coleman, Sienna M. Freeman, Christopher J. Machado, Jessica Raper, Jan Zimmermann, Benjamin Y. Hayden, Hyun Soo Park
In IJCV 2022
Discovering Relationships between Object Categories via Universal Canonical Maps
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi
In CVPR 2021
Gait-level analysis of mouse open field behavior using deep learning-based pose estimation
Keith Sheppard, Justin Gardin, Gautam Sabnis, Asaf Peer, Megan Darrell, Sean Deats, Brian Geuther, Cathleen M. Lutz, Vivek Kumar
In biorxiv 2020
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Adam Gosztolai, Semih Gunel, Marco Pietro Abrate, Daniel Morales, Victor Lobato Rios, Helge Rhodin, Pascal Fua, Pavan Ramdya
In Nature Methods 2021
Geometric deep learning enables 3D kinematic profiling across species and environments
Timothy W. Dunn, Jesse D. Marshall, Kyle S. Severson, Diego E. Aldarondo, David G. C. Hildebrand, Selmaan N. Chettih, William L. Wang, Amanda J. Gellis, David E. Carlson, Dmitriy Aronov, Winrich A. Freiwald, Fan Wang, Bence P. Ölveczky
In Nature Methods 2021
Birds of a Feather: Capturing Avian Shape Models from Images
Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger
In CVPR 2021
ThruTracker: Open-Source Software for 2-D and 3-D Animal Video Tracking
Aaron J. Corcoran, Michael R. Schirmacher, Eric Black, Tyson L. Hedrick
In biorxiv 2021
A Hierarchical 3D-motion Learning Framework for Animal Spontaneous Behavior Mapping
Kang Huang, Yaning Han, Ke Chen, Hongli Pan, Wenling Yi, Xiaoxi Li, Siyuan Liu, Liping Wang, Pengfei Wei
In Nature Communications 2021
Big behavior: challenges and opportunities in a new era of deep behavior profiling
Lukas von Ziegler, Oliver Sturman, Johannes Bohacek
In Neuropsychopharmacology 2021
A three-dimensional virtual mouse generates synthetic training data for behavioral analysis
Luis A. Bolaños, Dongsheng Xiao, Nancy L. Ford, Jeff M. LeDue, Pankaj K. Gupta, Carlos Doebeli, Hao Hu, Helge Rhodin, Timothy H. Murphy
In Nature Methods (Brief Communication) 2021 (cover)
DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection
Jens F. Schweihoff, Matvey Loshakov, Irina Pavlova, Laura Kück, Laura A. Ewell, Martin K. Schwarz
In Communications Biology 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
Chen Li, Gim Hee Lee
In CVPR 2021 (oral)
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
In CVPR 2021
Real-time, low-latency closed-loop feedback using markerless posture tracking
Gary Kane, Gonçalo Lopes, Jonny L. Saunders, Alexander Mathis, Mackenzie W. Mathis
In eLife 2020 (Featured by Nature Methods)
Dynamics of gaze control during prey capture in freely moving mice
Angie M Michaiel, Elliott TT Abe, Cristopher M Niell
In eLife 2020
Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire
Jesse D. Marshall, Diego E. Aldarondo, Timothy W. Dunn, William L. Wang, Gordon J. Berman, Bence P. O¨lveczky
In Neuron 2020
Robust mouse tracking in complex environments using neural networks
Brian Q. Geuther, Sean P. Deats, Kai J. Fox, Steve A. Murray, Robert E. Braun, Jacqueline K. White, Elissa J. Chesler, Cathleen M. Lutz, Vivek Kumar
In Communications Biology 2019
AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool
Zexin Chen, Ruihan Zhang, Yu Eva Zhang, Haowen Zhou, Hao-Shu Fang, Rachel R. Rock, Aneesh Bal, Nancy Padilla-Coreano, Laurel Keyes, Kay M. Tye, Cewu Lu
In biorxiv 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
Anqi Wu, E. Kelly Buchanan, Matthew Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, The International Brain Laboratory, John Cunningham, Liam Paninski
In NeurIPS 2020
Simple Behavioral Analysis (SimBA)-an open source toolkit for computer classification of complex social behaviors in experimental animals
Simon RO Nilsson, Nastacia L. Goodwin, Jia Jie Choong, Sophia Hwang, Hayden R Wright, Zane C Norville, Xiaoyu Tong, Dayu Lin, Brandon S. Bentzley, Neir Eshel, Ryan J McLaughlin, Sam A. Golden
In biorxiv 2020
SLEAP: Multi-animal pose tracking
Talmo D. Pereira, Nathaniel Tabris, Junyu Li, Shruthi Ravindranath, Eleni S. Papadoyannis, Z. Yan Wang, David M. Turner, Grace McKenzie-Smith, Sarah D. Kocher, Annegret L. Falkner, Joshua W. Shaevitz, Mala Murthy
In biorxiv 2020
FreiPose: A Deep Learning Framework for Precise Animal Motion Capture in 3D Spaces
Christian Zimmermann, Artur Schneider, Mansour Alyahyay, Thomas Brox, Ilka Diester
In biorxiv 2020
Multiview Supervision By Registration
Yilun Zhang, Hyun Soo Park
In WACV 2020
Facial expressions of emotion states and their neuronal correlates in mice
Nejc Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla
In Science 2020
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data
Abassin Sourou Fangbemi, Yi Fei Lu, Mao Yuan Xu, Xiao Wu Luo, Alexis Rolland, Chedy Raissi
In SCA (ACM Siggraph/Eurographics Symposium on Computer Animation) 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
In Neuron 2020
Quantifying behavior to understand the brain
Talmo D. Pereira, Joshua W. Shaevitz, Mala Murthy
In Nature Neuroscience 2020 (review article)
EthoLoop: automated closed-loop neuroethology in naturalistic environments
Ali Nourizonoz, Robert Zimmermann, Chun Lum Andy Ho, Sebastien Pellat, Yannick Ormen, Clément Prévost-Solié, Gilles Reymond, Fabien Pifferi, Fabienne Aujard, Anthony Herrel, Daniel Huber
In Nature Methods 2020 (cover)
Automated Markerless Pose Estimation in Freely Moving Macaques using OpenMonkeyStudio
Praneet C. Bala, Benjamin R. Eisenreich, Seng Bum Michael Yoo, Benjamin Y. Hayden, Hyun Soo Park, Jan Zimmermann
In Nature Communications 2020
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd Pfrommer, Marc F. Schmidt, Kostas Daniilidis
In ECCV 2020
Shape and Viewpoint without Keypoints
Shubham Goel, Angjoo Kanazawa, Jitendra Malik
In ECCV 2020
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
In CVPR 2020
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
Muhammad Haris Khan, John McDonagh, Salman Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos
In CVPR 2020
Articulation Aware Canonical Surface Mapping
Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani
In CVPR 2020
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Siyuan Li, Semih Gunel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin
In CVPR 2020
Learning from Synthetic Animals
Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille
In CVPR 2020 (oral)
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund
In CVPR 2020
Transferring Dense Pose to Proximal Animal Classes
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
In CVPR 2020
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
Jacob M. Graving, Daniel Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R. Costelloe, Iain D. Couzin
In eLife 2019
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
Tanmay Nath, Alexander Mathis, An Chi Chen, Amir Patel, Matthias Bethge, Mackenzie Weygandt Mathis
In Nature Protocols 2019 (cover)
Fast animal pose estimation using deep neural networks
Talmo D. Pereira, Diego E. Aldarondo, Lindsay Willmore, Mikhail Kislin, Samuel S.-H. Wang, Mala Murthy, Joshua W. Shaevitz
In Nature Methods 2019
Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning
Fabrice de Chaumont, Elodie Ey, Nicolas Torquet, Thibault Lagache, Stéphane Dallongeville, Albane Imbert, Thierry Legou, Anne-Marie Le Sourd, Philippe Faure, Thomas Bourgeron, Jean-Christophe Olivo-Marin
In Nature Biomedical Engineering 2019
Cross-Domain Adaptation for Animal Pose Estimation
Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai
In ICCV 2019 (oral)
Canonical Surface Mapping via Geometric Cycle Consistency
Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani
In ICCV 2019
MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence
Yuan Yao, Yasamin Jafarian, Hyun Soo Park
In ICCV 2019
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, Mackenzie Weygandt Mathis, Matthias Bethge
In Nature Neuroscience 2018
Learning Category-Specific Mesh Reconstruction from Image Collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik
In ECCV 2018
Creatures great and SMAL: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, Roberto Cipolla
In ACCV 2018 (oral)
An unsupervised method for quantifying the behavior of paired animals
Ugne Klibaite, Gordon J Berman, Jessica Cande, David L Stern, Joshua W Shaevitz
In Physical Biology 2017
3D Menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black
In CVPR 2017 (spotlight)
3D Pose Estimation of Flying Animals in Multi-view Video Datasets
Mikhail Breslav
In Ph.D Thesis 2016
Learning 3D Deformation of Animals from 2D Images
Angjoo Kanazawa, Shahar Kovalsky, Ronen Basri, David W. Jacobs
In Eurographics 2016 (Günter Enderle Best Paper Award)
idTracker: Tracking individuals in a group by automatic identification of unmarked animals
Alfonso Pérez-Escudero, Julián Vicente-Page, Robert C Hinz, Sara Arganda, Gonzalo G de Polavieja1
In Nature Methods 2014