[2023.12.14] Here is a workshop involving animals and infants CV4Smalls Workshop! Feel free to check it out!
[2023.11.26] My own paper "MAMMAL" is published online in Nature Communications now!
[2023.06.10] The program of CV4Animals Workshop in CVPR 2023 is available!
[2022.08.08] Here is the Ph.D thesis of SEMIH GÜNEL (https://infoscience.epfl.ch/record/293821), who is the author of well-known DeepFly3D and LiftPose3D.
[2022.06.22] The 2nd CV4Animals Workshop in CVPR 2022 (https://www.cv4animals.com/) presents many excellent works on rodent 3D reconstruction!
[2022.01.02] To make it easy to track, I sort the papers using the timepoint I find them (not publication time), and add label badges to show paper features.
[2021.11.28] I recommend MMPose for 2D animal pose estimation. It has collected various kinds of datasets.
[2021.07.16] I recommend CV4Animal workshop in CVPR 2021 (https://www.cv4animals.com/) because it is a good collection of recent advances in animal pose estimation area!
Recently, markerless animal motion capture and 3D reconstruction attracts more and more attention in computer vision community. Inspired by remarkable techniques for markerless human motion capture, a few excellent literatures appear for animal modeling and reconstruction such as SMAL and DeepLabCut. However, there is still a long way before computer vision methods could capture natural motion of arbitary animals in industrial-grade.
Therefore, I contribute this repository to track every step towards the ultimate goal of high quality animal capture. If you want to add/remove an article, please send an email to Liang An(anliang at mail dot tsinghua dot edu dot cn). Thank all the authors for their contribution and support.
 |
Neuro-musculoskeletal modeling reveals muscle-level neural dynamics of adaptive learning in sensorimotor cortex Travis DeWolf, Steffen Schneider, Paul Soubiran, Adrian Roggenbach, Mackenzie Weygandt Mathis In biorxiv 2024 
 |
 |
Mapping the landscape of social behavior Ugne Klibaite, Tianqing Li, Diego Aldarondo, Jumana F. Akoad, Bence P. Ölveczky, Timothy W. Dunn In biorxiv 2024
  |
 |
Virtual Pets: Animatable Animal Generation in 3D Scenes Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander Schwing, Liangyan Gui, Hsin-Ying Lee In arxiv 2024
|
 |
NeuroMechFly 2.0, a framework for simulating embodied sensorimotor control in adult Drosophila Sibo Wang-Chen, Victor Alfred Stimpfling, Thomas Ka Chung Lam, Pembe Gizem Ozdil, Louise Genoud, Femke Hurtak, Pavan Ramdya In Nature Methods 2024
 |
 |
A virtual rodent predicts the structure of neural activity across behaviours Diego Aldarondo, Josh Merel, Jesse D. Marshall, Leonard Hasenclever, Ugne Klibaite, Amanda Gellis, Yuval Tassa, Greg Wayne, Matthew Botvinick, Bence P. Ölveczky In Nature 2024
|
 |
Automated Detection of Cat Facial Landmarks George Martvel, Ilan Shimshoni, Anna Zamansky In IJCV 2024
 |
 |
X-Pose: Detecting Any Keypoints Jie Yang, Ailing Zeng, Ruimao Zhang, Lei Zhang In ECCV 2024
 |
 |
OmniMotionGPT: Animal Motion Generation with Limited Data Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang In CVPR 2024
|
 |
OpenAnimalTracks: A Dataset for Animal Track Recognition Risa Shinoda, Kaede Shiohara In ICIP 2024
|
 |
EgoPet: Egomotion and Interaction Data from an Animal’s Perspective Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell In ECCV 2024
|
 |
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification Risa Shinoda, Kaede Shiohara In ECCV 2024 (oral)
 |
 |
Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu In ECCV 2024
|
 |
Characterizing the structure of mouse behavior using Motion Sequencing Sherry Lin, Winthrop F. Gillis, Caleb Weinreb, Ayman Zeine, Samuel C. Jones, Emma M. Robinson, Jeffrey Markowitz, Sandeep Robert Datta In Nature Protocols 2024
 |
 |
SUBTLE: An Unsupervised Platform with Temporal Link Embedding that Maps Animal Behavior Jea Kwon, Sunpil Kim, Dong-Kyum Kim, Jinhyeong Joo, SoHyung Kim, Meeyoung Cha, C. Justin Lee In IJCV 2024
 |
 |
AWOL: Analysis WithOut synthesis using Language Silvia Zuffi, Michael J. Black In ECCV 2024
 |
 |
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary Shiting Xiao, Yufu Wang, Ammon Perkes, Bernd Pfrommer, Marc Schmidt, Kostas Daniilidis, Marc Badger In IJCV 2023 
 |
 |
DeepShapeKit: accurate 4D shape reconstruction of swimming fish Ruiheng Wu, Oliver Deussen, Liang Li In IROS 2022
|
 |
YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos Alex Hoi Hang Chan, Prasetia Putra, Harald Schupp, Johanna Köchling, Jana Straßheim, Britta Renner, Julia Schroeder, William D. Pearse, Shinichi Nakagawa, Terry Burke, Michael Griesser, Andrea Meltzer, Saverio Lubrano, Fumihiro Kano In biorxiv 2024
|
 |
High-throughput unsupervised quantification of patterns in the natural behavior of marmosets William Menegas, Erin Corbett, Kimberly Beliard, Haoran Xu, Shivangi Parmar, Robert Desimone, Guoping Feng In biorxiv 2024
|
 |
Long-term tracking of social structure in groups of rats M´at´e Nagy, Jacob D. Davidson, G´abor V´as´arhelyi, D´aniel Abel, Enik˝o Kubinyi, Ahmed El Hady, Tam´as Vicsek In biorxiv 2024
|
 |
Marigold: A machine learning-based web app for zebrafish pose tracking Gregory Teicher, R. Madison Riffe, Wayne Barnaby, Gabrielle Martin, Benjamin E. Clayton, Josef G. Trapani, Gerald B. Downes In biorxiv 2024
|
 |
A Real-time Multi-Subject Three Dimensional Pose Tracking System for Analyzing Social Behaviors of Non-human Primates Chaoqun Cheng, Zijian Huang, Ruiming Zhang, Guozheng Huang, Han Wang, Likai Tang, Xiaoqin Wang In biorxiv 2024
|
 |
PriMAT: A robust multi-animal tracking model for primates in the wild Richard Vogg, Matthias Nuske, Marissa A. Weis, Timo L¨uddecke, Elif Karako¸c, Zurna Ahmed, Sofia M. Pereira, Suchinda Malaivijitnond, Suthirote Meesawat, Florentin W¨org¨otter, Peter M. Kappeler, Alexander Gail, Julia Ostner, Oliver Sch¨ulke, Claudia Fichtel, Alexander S. Ecker In biorxiv 2024
 |
 |
Peering into the world of wild passerines with 3D-SOCS: synchronized video capture and posture estimation Michael Chimento, Alex Hoi Hang Chan, Lucy M. Aplin, Fumihiro Kano In biorxiv 2024
|
 |
Quantifying social roles in multi-animal videos using subject-aware deep-learning Kelly Goss, Lezio S. Bueno-Junior, Katherine Stangis, Théo Ardoin, Hanna Carmon, Jie Zhou, Rohan Satapathy, Isabelle Baker, Carolyn E. Jones-Tinsley, Miranda M. Lim, Brendon O. Watson, Cédric Sueur, Carrie R. Ferrario, Geoffrey G. Murphy, Bing Ye, Yujia Hu In biorxiv 2024
|
 |
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos Remy Sabathier, Niloy J. Mitra, David Novotny In ECCV 2024
 |
 |
Three-dimensional body reconstruction enables quantification of liquid consumption in small invertebrates Henrique Galante, Tomer J. Czaczkes, Massimo De Agrò In biorxiv 2024
|
 |
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools Dan Biderman, Matthew R. Whiteway, Cole Hurwitz, Nicholas Greenspan, Robert S. Lee, Ankit Vishnubhotla, Richard Warren, Federico Pedraja, Dillon Noone, Michael M. Schartner, Julia M. Huntenburg, Anup Khanal, Guido T. Meijer, Jean-Paul Noel, Alejandro Pan-Vazquez, Karolina Z. Socha, Anne E. Urai, The International Brain Laboratory, John P. Cunningham, Nathaniel B. Sawtell, Liam Paninski In Nature Methods 2024
|
 |
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics Caleb Weinreb, Jonah E. Pearl, Sherry Lin, Mohammed Abdal Monium Osman, Libby Zhang, Sidharth Annapragada, Eli Conlin, Red Hoffmann, Sofia Makowska, Winthrop F. Gillis, Maya Jay, Ye Shaokai, Alexander Mathis, Mackenzie Weygandt Mathis, Talmo Pereira, Scott W. Linderman, Sandeep Robert Datta In Nature Methods 2024
|
 |
The Poses for Equine Research Dataset (PFERD) Ci Li, Ylva Mellbin, Johanna Krogager, Senya Polikovsky, Martin Holmberg, Nima Ghorbani, Michael J. Black, Hedvig Kjellström, Silvia Zuffi, Elin Hernlund In Scientific Data 2024
|
 |
VAREN: Very Accurate and Realistic Equine Network Silvia Zuffi, Ylva Mellbin, Ci Li, Markus Hoeschle, Hedvig Kjellström, Senya Polikovsky, Elin Hernlund, Michael J. Black In CVPR 2024
|
 |
TrAQ: a novel, versatile, semi-automated two-dimensional motor behavioural tracking software Davide Di Censo, Ilaria Rosa, Brigida Ranieri, Tiziana DiLorenzo, Marcello Alecci, Tiziana Marilena Florio, Angelo Galante In biorxiv 2024
|
 |
A 3Dwhole-face movement analysis system to uncover underlying physiology in mice Kyle Daruwalla, Irene Nozal Martin, Andrew Frankel, Diana Naglič, Zainab Ahmad, Xun Helen Hou In biorxiv 2024
|
 |
Deep Imputation for Skeleton Data (DISK) for Behavioral Science France Rose, Monika Michaluk, Timon Blindauer, Bogna M. Ignatowska-Jankowska, Liam O’Shaughnessy, Greg J. Stephens, Talmo D. Pereira, Marylka Y. Uusisaari, Katarzyna Bozek In biorxiv 2024
|
 |
Visuo-frontal interactions during social learning in freely moving macaques M. Franch, S. Yellapantula, A. Parajuli, N. Kharas, A. Wright, B. Aazhang, V. Dragoi In Nature 2024
 |
 |
Neural signatures of natural behaviour in socializing macaques Camille Testard, Sébastien Tremblay, Felipe Parodi, Ron W. DiTullio, Arianna Acevedo-Ithier, Kristin L. Gardiner, Konrad Kording, Michael L. Platt In Nature 2024
|
 |
replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine Fabian Plum, René Bulla, Hendrik K. Beck, Natalie Imirzian, David Labonte In Nature Communications 2023
|
 |
Investigating the use of odour and colour foraging cues by rosy-faced lovebirds (Agapornis roseicollis) using deep-learning based behavioural analysis Winson King Wai Tsang, Emily Shui Kei Poon, Chris Newman, Christina D. Buesching, Simon Yung Wa Sin In biorxiv 2024
|
 |
Automated 3D analysis of social head-gaze behaviors in freely moving marmosets Feng Xing, Alec G. Sheffield, Monika P. Jadi, Steve W.C Chang, Anirvan S. Nandy In biorxiv 2024
|
 |
A-SOiD, an active learning platform for expert-guided, data efficient discovery of behavior Jens F. Tillmann, Alexander I. Hsu, Martin K. Schwarz, Eric A. Yttri In Nature Methods 2024
|
 |
Anti-drift pose tracker (ADPT): A transformer-based network for robust animal pose estimation cross-species Guoling Tang, Yaning Han, Quanying Liu, Pengfei Wei In biorxiv 2024
|
 |
vmTracking: Virtual Markers Overcome Occlusion and Crowding in Multi-Animal Pose Tracking Hirotsugu Azechi, Susumu Takahashi In biorxiv 2024
|
 |
ARBUR, a machine learning-based analysis system for relating behaviors and ultrasonic vocalizations of rats Zhe Chen, Guanglu Jia, Qijie Zhou, Yulai Zhang, Zhenzhen Quan, Xuechao Chen, Toshio Fukuda, Qiang Huang, Qing Shi In biorxiv 2024
|
 |
WILDPOSE: A LONG-RANGE 3D WILDLIFE MOTION CAPTURE SYSTEM Naoya Muramatsu, Sangyun Shin, Qianyi Deng, Andrew Markham, Amir Patel In biorxiv 2024
|
 |
Combining Unity with machine vision to create low latency, flexible, and simple virtual realities Yuri Ogawa, Raymond Aoukar, Richard Leibbrandt, Jake S Manger, Zahra M Bagheri, Luke Turnbull, Chris Johnston, Pavan K Kaushik, Jan M Hemmi, Karin Nordström In biorxiv 2024
|
 |
MacAction: Realistic 3D macaque body animation based on multi-camera markerless motion capture Lucas M. Martini, Anna Bogn´ar, Rufin Vogels, Martin A. Giese In biorxiv 2024
|
 |
DAMM for the detection and tracking of multiple animals within complex social and environmental settings Gaurav Kaul, Jonathan McDevitt, Justin Johnson, Ada Eban-Rothschild In biorxiv 2024
|
 |
Computer Vision for Primate Behavior Analysis in the Wild Richard Vogg, Timo Luddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schulke, Peter M. Kappeler, Claudia Fichte, Alexander Gail, Stefan Treue, Hansjorg Scherberger, Florentin Worg otter, Alexander S. Ecker In arxiv 2024
|
 |
PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition Otto Brookes et.al. In IJCV 2024
|
 |
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework Yaning Han, Ke Chen, Yunke Wang, Wenhao Liu, Zhouwei Wang, Xiaojing Wang, Chuanliang Han, Jiahui Liao, Kang Huang, Shengyuan Cai, Yiting Huang, Nan Wang, Jinxiu Li, Yangwangzi Song, Jing Li, Guodong Wang, Liping Wang, Yaping Zhang, Pengfei Wei In Nature Machine Intelligence 2024
|
 |
Facemap: a framework for modeling neural activity based on orofacial tracking Atika Syeda, Lin Zhong, Renee Tung, Will Long, Marius Pachitariu, Carsen Stringer In Nature Neuroscience 2023
|
 |
Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL Liang An, Jilong Ren, Tao Yu, Tang Hai, Yichang Jia, Yebin Liu In Nature Communications 2023
 |
 |
DeepLabCut-based Behavioural and Posture Analysis in a Cricket Shota Hayakawa, Kosuke Kataoka, Masanobu Yamamoto, Toru Asahi, Takeshi Suzuki In biorxiv 2023
|
 |
Distinct developmental trajectories of autonomous behaviors and agency in rodents C Mitelut, M Diez Castro, RE Peterson, M Gonçalves, MM Gamer, SRO Nilsson, TD Pereira, DH Sanes In biorxiv 2023
 |
 |
BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques Sen Yang, Zhi-Yuan Chen, Ke-Wei Liang, Cai-Jie Qin, Yang Yang, Wen-Xuan Fan, Chen-Lu Jie, Xi-Bo Ma In Zoological Research 2023
|
 |
CATER: Combined Animal Tracking & Environment Reconstruction Lars Haalck, Michael Mangan, Antoine Wystrach, Leo Clement, Barbara Webb, Benjamin Risse In Science Advances 2023
 |
 |
SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers Máté Nagy, Hemal Naik, Fumihiro Kano, Nora V. Carlson, Jens C. Koblitz, Martin Wikelski, Iain D. Couzin In Science Advances 2023
|
 |
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 Oxford Open Neuroscience 2023
|
 |
Open-source tools for behavioral video analysis: Setup, methods, and best practices Kevin Luxem, Jennifer J Sun, Sean P Bradley, Keerthi Krishnan, Eric Yttri, Jan Zimmermann, Talmo D Pereira, Mark Laubach In Elife 2023
 |
 |
Automated measurement of livestock body based on pose normalisation using statistical shape model Xinying Luo, Yihu Hu, Zicheng Gao, Hao Guo, Yang Su In Biosystems Engineering 2023
|
 |
Establishing an AI-based evaluation system that quantifies social/pathophysiological behaviors of common marmosets Takaaki Kaneko, Jumpei Matsumoto, Wanyi Lu, Xincheng Zhao, Louie Richard UenoNigh, Takao Oishi, Kei Kimura, Yukiko Otsuka, Andi Zheng, Kensuke Ikenaka, Kousuke Baba, Hideki Mochizuki, Hisao Nishijo, Ken-ichi Inoue, Masahiko Takada In biorxiv 2023
|
 |
Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress Joeri Bordes, Lucas Miranda, Maya Reinhardt, Sowmya Narayan, Jakob Hartmann, Emily L. Newman, Lea Maria Brix, Lotte van Doeselaar, Clara Engelhardt, Larissa Dillmann, Shiladitya Mitra, Kerry J. Ressler, Benno Pütz, Felix Agakov, Bertram Müller-Myhsok, Mathias V. Schmidt In Nature Communications 2023
|
 |
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, Jindong Zhang In ICCV 2023
|
 |
Stimulatory effect of monoacylglycerol lipase inhibitor MJN110 on locomotion and step kinematics demonstrated by high-precision 3D motion capture in mice Bogna M. Ignatowska-Jankowska, Aysen Gurkan Ozer, Alexander Kuck, Micah J. Niphakis, Daisuke Ogasawara, Benjamin F. Cravatt, Marylka Y. Uusisaari In biorxiv 2023
|
 |
Simultaneous recording of ultrasonic vocalizations and sniffing from socially interacting individual rats using a miniature microphone Shanah Rachel John, Rishika Tiwari, Yizhaq Goussha, Rotem Amar, Alex Bizer, Shai Netser, Shlomo Wagner In biorxiv 2023
|
 |
Automated Maternal Behavior during Early life in Rodents (AMBER) pipeline Hannah E. Lapp, Melissa G. Salazar, Frances A. Champagne In biorxiv 2023
|
 |
Three-dimensional markerless motion capture of multiple freely behaving monkeys for automated characterization of social behavior Jumpei Matsumoto, Takaaki Kaneko, Kei Kimura, Salvador Blanco Negrete, Jia Guo, Naoko Suda-Hashimoto, Akihisa Kaneko, Mayumi Morimoto, Hiroshi Nishimaru, Tsuyoshi Setogawa, Yasuhiro Go, Tomohiro Shibata, Hisao Nishijo, Masahiko Takada, Ken-ichi Inoue In biorxiv 2023
|
 |
3D mouse pose from single‑view video and a new dataset Bo Hu, Bryan Seybold, Shan Yang, Avneesh Sud, Yi Liu, Karla Barron, Paulyn Cha, Marcelo Cosino, Ellie Karlsson, Janessa Kite, Ganesh Kolumam, Joseph Preciado, José Zavala‑Solorio, Chunlian Zhang, Xiaomeng Zhang, Martin Voorbach, Ann E.Tovcimak, J.Graham Ruby, David A. Ross In Scientific Reports 2023
|
 |
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski In ICCV 2023
|
 |
PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan In ICCV 2023
|
 |
AmadeusGPT: a natural language interface for interactive animal behavioral analysis Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie Weygandt Mathis In NeurIPS 2023
|
 |
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani In arxiv 2023
|
 |
Behavioral decomposition reveals rich encoding structure employed across neocortex in rats Bartul Mimica, Tuçe Tombaz, Claudia Battistin, Jingyi Guo Fuglstad, Benjamin A. Dunn, Jonathan R. Whitlock In Nature Communications 2023
|
 |
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior Jennifer J. Sun, Markus Marks, Andrew W. Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian M. Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy In ICML 2023
|
 |
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture Hemal Naik, Alex Hoi Hang Chan, Junran Yang, Mathilde Delacoux, Iain D. Couzin, Fumihiro Kano, Mate Nagy In CVPR 2023
|
 |
SuperAnimal models pretrained for plug-and-play analysis of animal behavior Shaokai Ye, Anastasiia Filippova, Jessy Lauer, Maxime Vidal, Steffen Schneider, Tian Qiu, Alexander Mathis, Mackenzie Weygandt Mathis In arxiv 2023
|
 |
CatFLW: Cat Facial Landmarks in the Wild Dataset George Martvel, Nareed Farhat, Ilan Shimshoni, Anna Zamansky In CV4Animals Workshop in CVPR 2023
|
 |
Decompose to Generalize: Species-Generalized Animal Pose Estimation Guangrui Li, Yifan Sun, Zongxin Yang, Yi Yang In ICLR 2023
|
 |
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair Costelloe, Sara Beery, Anna Rohrbach, Mohamed Elhoseiny In CVPR 2023
|
 |
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J. Black, Silvia Zuffi In CVPR 2023
|
 |
MagicPony: Learning Articulated 3D Animals in the Wild Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi In CVPR 2023
|
 |
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao In CVPR 2023
|
 |
3D shape reconstruction of semi-transparent worms Thomas P. Ilett, Omer Yuval, Thomas Ranner, Netta Cohen, David C. Hogg In CVPR 2023
|
 |
A robust and flexible deep-learning workflow for animal tracking Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport In biorxiv 2023
|
 |
Analysis of antennal responses to motion stimuli in the honey bee by automated tracking using DeepLabCut Hiroki Kohno, Shuichi Kamata, Takeo Kubo In biorxiv 2023
|
 |
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris Metaxas In CVPR 2023
|
 |
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi In arxiv 2023
|
 |
Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second Kevin C. Zhou, Mark Harfouche, Colin L. Cooke, Jaehee Park, Pavan C. Konda, Lucas Kreiss, Kanghyun Kim, Joakim Jönsson, Thomas Doman, Paul Reamey, Veton Saliu, Clare B. Cook, Maxwell Zheng, John P. Bechtel, Aurélien Bègue, Matthew McCarroll, Jennifer Bagwell, Gregor Horstmeyer, Michel Bagnat, Roarke Horstmeyer In Nature Photonics 2023
|
 |
Scalable Apparatus to Measure Posture and Locomotion (SAMPL): a high-throughput solution to study unconstrained vertical behavior in small animals Yunlu Zhu, Franziska Auer, Hannah Gelnaw, Samantha N. Davis, Kyla R. Hamling, Christina E. May, Hassan Ahamed, Niels Ringstad, Katherine I. Nagel, David Schoppik In biorxiv 2023
|
 |
ScarceNet: Animal Pose Estimation with Scarce Annotations Chen Li, Gim Hee Lee In CVPR 2023
|
 |
Lights, Camera, Mirrors, Action! Toolbox for 3D Analysis of High-rate Maneuvers Using a Single Camera and Planar Mirrors Wajahat Hussain, Mahum Naveed, Asad Khan, Taimoor Hasan Khan, Muhammad Latif Anjum, Shahzad Rasool, Adnan Maqsood In biorxiv 2023
|
 |
Unsupervised decomposition of natural monkey behavior into a sequence of motion motifs Koki Mimura, Jumpei Matsumoto, Daichi Mochihashi, Tomoaki Nakamura, Toshiyuki Hirabayashi, Makoto Higuchi, Takafumi Minamimoto In biorxiv 2023
|
 |
ArMo: An Articulated Mesh Approach for Mouse 3D Reconstruction James P. Bohnslav, Mohammed Abdal Monium Osman, Akshay Jaggi, Sofia Soares, Caleb Weinreb, Sandeep Robert Datta, Christopher D. Harvey In biorxiv 2023
|
 |
Predicting long-term collective animal behavior with deep learning Vaios Papaspyros, Ram´on Escobedo, Alexandre Alahi, Guy Theraulaz, Cl´ement Sire, Francesco Mondada In biorxiv 2023
|
 |
Three‑dimensional unsupervised probabilistic pose reconstruction (3D‑UPPER) for freely moving animals Aghileh S. Ebrahimi, Patrycja Orlowska‑Feuer, Qian Huang, AntonioG. Zippo, Franck P. Martial, Rasmus S. Petersen, Riccardo Storchi In Scientific Reports 2023
|
 |
A review of 28 free animal-tracking software applications: current features and limitations Veronica Panadeiro, Alvaro Rodriguez, Jason Henry, Donald Wlodkowic, Magnus Andersson In Lab Animal 2021
|
 |
JAX Animal Behavior System (JABS): A video-based phenotyping platform for the laboratory mouse Glen Beane, Brian Q. Geuther, Thomas J. Sproule, Anshul Choudhary, Jarek Trapszo, Leinani Hession, Vivek Kohar, Vivek Kumar In biorxiv 2023
|
 |
An 8-cage imaging system for automated analyses of mouse behavior Thaís Del Rosario Hernández, Narendra R. Joshi, Sayali V. Gore, Jill A. Kreiling, Robbert Creton In biorxiv 2023
|
 |
Quantifying the movement, behavior, and environmental context of group-living animals using drones and computer vision Benjamin Koger, Adwait Deshpande, Jeffrey T. Kerby, Jacob M. Graving, Blair R. Costelloe, Iain D. Couzin In Journal of Animal Ecology 2023
|
 |
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 Cell Reports 2022
|
 |
Markerless tracking of an entire honey bee colony Katarzyna Bozek, Laetitia Hebert, Yoann Portugal, Alexander S. Mikheyev, Greg J. Stephens In Nature Communications 2021
|
 |
Capturing the continuous complexity of behaviour in Caenorhabditis elegans Tosif Ahamed, Antonio C. Costa, Greg J. Stephens In Nature Physics 2020
|
 |
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
|
 |
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotny In arxiv 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
|
 |
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 Cell Reports Methods 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
|
 |
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
|
 |
NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster Victor Lobato Rios, Pembe Gizem Ozdil, Shravan Tata Ramalingasetty, Jonathan Arreguit, Auke Jan Ijspeert, Pavan Ramdya In Nature Methods 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
|
 |
Artemis: Articulated Neural Pets with Appearance and Motion Synthesis Haimin Luo, Teng Xu, Yuheng Jiang, Chenglin Zhou, Qiwei Qiu, Yingliang Zhang, Wei Yang, Lan Xu, Jingyi Yu In TOG (Siggraph) 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
|
 |
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise Kim Youwang, Kim Ji-Yeon, Kyungdon Joo, Tae-Hyun Oh In BMVC 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
|
 |
Multimodal-based Scene-Aware Framework for Aquatic Animal Segmentation Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran In arxiv 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
|
 |
A Novel Dataset for Keypoint Detection of Quadruped Animals from Images Prianka Banik, Lin Li, Xishuang Dong In arxiv 2021
|
 |
Discovering Relationships between Object Categories via Universal Canonical Maps Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi In CVPR 2021
|
 |
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
|
 |
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla In ECCV 2020
|
 |
Shape and Viewpoint without Keypoints Shubham Goel, Angjoo Kanazawa, Jitendra Malik In ECCV 2020
|
 |
Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai 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
|
 |
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi In CVPR 2020 (Best Paper Award)
|
 |
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
|
 |
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild" Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black 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
|
 |
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images Silvia Zuffi, Angjoo Kanazawa, Michael J. Black In CVPR 2018 (spotlight)
|
 |
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
|
 |
Single-View 3D Reconstruction of Animals Angjoo Kanazawa In Ph.D Thesis 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
|
Last updated in Nov 2024
This repository is inspired by Cat Papers with some code borrowed from it. Paper and project signs are taken from http://kesen.realtimerendering.com/.