In the field of animal pose estimation and computational neuroethology, there has been a wealth of research in recent years. The rapid advancement of technology has made it possible to study the movements and behaviors of animals in new and exciting ways. This literature review aims to bring together the most high-quality papers on this topic and present them in a convenient and easily readable format. With the information contained within, researchers and students can quickly become familiar with the latest developments and findings in the field.
The papers included in this review are carefully curated and come from a variety of sources. They span a range of topics, from the development of new algorithms for animal pose estimation to the study of neuroethology and the implications it has for the understanding of animal behavior. Whether you are a seasoned researcher or just starting out, this literature review will provide valuable insights into the cutting-edge work being done in animal pose estimation and computational neuroethology.
Each paper is presented in its own section, complete with a brief summary, key findings, and a link to the original publication. In addition, the papers are categorized based on the type of animal being studied and the specific area of focus, making it easy to quickly find the information you are looking for.
So whether you are looking to keep up with the latest research, or simply looking for a comprehensive overview of the field, this literature review is a must-read
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Panoptic animal pose estimators are zero-shot performers Shaokai Ye1, Alexander Mathis, Mackenzie Weygandt Mathis In arXiv 2022 
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Stride-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 Cell Reports 2022
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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
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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
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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
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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
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B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors Alexander I. Hsu, Eric A. Yttri In Nature Communications 2022
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Leaving Flatland: Advances in 3D behavioral measurement Jesse D. Marshall, Tianqing Li, Joshua H. Wu, Timothy W. Dunn In Current Opinion in Neurobiology 2022
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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
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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
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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
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TAVA: Template-free Animatable Volumetric Actors Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhoefer, Jurgen Gall, Angjoo Kanazawa, Christoph Lassner In ECCV 2022
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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
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SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework Ari Blau, Christoph Gebhardt, Andres Bendesky, Liam Paninski, Anqi Wu In arxiv 2022
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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)
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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
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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
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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
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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
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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
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Overcoming the Domain Gap in Neural Action Representations Semih Gunel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua In arxiv 2021
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Incremental Learning for Animal Pose Estimation using RBF k-DPP Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty In BMVC 2021
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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
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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
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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
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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
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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
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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
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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)
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Coarse-to-fine Animal Pose and Shape Estimation Chen Li, Gim Hee Lee In NeurIPS 2021
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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
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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
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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
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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
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Across-animal odor decoding by probabilistic manifold alignment Pedro Herrero-Vidal, Dmitry Rinberg, Cristina Savin In NeurIPS 2021
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4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner In ICCV 2021
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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
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Body language signals for rodent social communication Christian L. Ebbesen, Robert C. Froemke In Current Opinion in Neurobiology 2021
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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
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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
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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
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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
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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
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Discovering Relationships between Object Categories via Universal Canonical Maps Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi In CVPR 2021
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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
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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
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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
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Birds of a Feather: Capturing Avian Shape Models from Images Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger In CVPR 2021
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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
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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
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Big behavior: challenges and opportunities in a new era of deep behavior profiling Lukas von Ziegler, Oliver Sturman, Johannes Bohacek In Neuropsychopharmacology 2021
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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)
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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
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From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li, Gim Hee Lee In CVPR 2021 (oral)
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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
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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)
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Dynamics of gaze control during prey capture in freely moving mice Angie M Michaiel, Elliott TT Abe, Cristopher M Niell In eLife 2020
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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
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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
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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
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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
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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
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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
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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
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Multiview Supervision By Registration Yilun Zhang, Hyun Soo Park In WACV 2020
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Facial expressions of emotion states and their neuronal correlates in mice Nejc Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla In Science 2020
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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
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A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis In Neuron 2020
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Quantifying behavior to understand the brain Talmo D. Pereira, Joshua W. Shaevitz, Mala Murthy In Nature Neuroscience 2020 (review article)
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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)
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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
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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
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Shape and Viewpoint without Keypoints Shubham Goel, Angjoo Kanazawa, Jitendra Malik In ECCV 2020
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RGBD-Dog: Predicting Canine Pose from RGBD Sensors Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker In CVPR 2020
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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
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Articulation Aware Canonical Surface Mapping Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani In CVPR 2020
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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
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Learning from Synthetic Animals Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille In CVPR 2020 (oral)
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3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund In CVPR 2020
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Transferring Dense Pose to Proximal Animal Classes Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova In CVPR 2020
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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
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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)
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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
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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
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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)
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Canonical Surface Mapping via Geometric Cycle Consistency Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani In ICCV 2019
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MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence Yuan Yao, Yasamin Jafarian, Hyun Soo Park In ICCV 2019
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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
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Learning Category-Specific Mesh Reconstruction from Image Collections Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik In ECCV 2018
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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)
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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
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3D Menagerie: Modeling the 3D shape and pose of animals Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black In CVPR 2017 (spotlight)
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3D Pose Estimation of Flying Animals in Multi-view Video Datasets Mikhail Breslav In Ph.D Thesis 2016
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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)
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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
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Last updated in Feb 2023
This repository is initially forked from Animal Papers I have added code to insert new papers from a text file in /data/papers.
Initial papers are taken from the forked repository i have modified the list to be more tailored for the topic of Animal Pose Estimation and Computational Neruoethology
Everyone is welcome to add new papers by cloning the repository and adding a .txt file in data/papers according to the sample paper01.txt file.
Make a pull request and i will add the papers to this list.
Alternatively, you can create a customized list for yourself by using the code this code. Modify or create an empty previously_compiled_papers.md file in the root and add new papers to the rendered markdown through .txt files