16.7.4.8 Human Activities, Interactions between People

Ke, Q.[Qiuhong], An, S.[Senjian], Bennamoun, M.[Mohammed], Sohel, F.A.[Ferdous A.], Boussaid, F.[Farid],
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition,
SPLetters(24), No. 6, June 2017, pp. 731-735.
IEEE DOI 1705
data mining, image representation, 3D action recognition, SkeletonNet, compact representation, large-scale NTU RGB+D dataset, robust temporal information, skeleton sequence, Hip, Legged locomotion, 3-D action recognition, Convolutional neural networks (CNNs) BibRef

Ke, Q.[Qiuhong], Bennamoun, M.[Mohammed], An, S.[Senjian], Sohel, F.A.[Ferdous A.], Boussaid, F.[Farid],
Learning Clip Representations for Skeleton-Based 3D Action Recognition,
IP(27), No. 6, June 2018, pp. 2842-2855.
IEEE DOI 1804
BibRef
Earlier:
A New Representation of Skeleton Sequences for 3D Action Recognition,
CVPR17(4570-4579)
IEEE DOI 1711
BibRef
Earlier: A1, A2, A3, A5, A4:
Human Interaction Prediction Using Deep Temporal Features,
ACVR16(II: 403-414).
Springer DOI 1611
feature extraction, image motion analysis, image representation, image sequences, learning (artificial intelligence), multi-task learning. Computational modeling, Hidden Markov models, Hip, Skeleton, BibRef

Ke, Q.[Qiuhong], Liu, J.[Jun], Bennamoun, M.[Mohammed], Rahmani, H.[Hossein], An, S.[Senjian], Sohel, F.A.[Ferdous A.], Boussaid, F.[Farid],
Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition,
ACCV18(IV:729-745).
Springer DOI 1906
BibRef

Chu, W.S.[Wen-Sheng], de la Torre, F.[Fernando], Cohn, J.F.[Jeffrey F.], Messinger, D.S.[Daniel S.],
A Branch-and-Bound Framework for Unsupervised Common Event Discovery,
IJCV(123), No. 3, July 2017, pp. 372-391.
Springer DOI 1706
BibRef

Chu, W.S.[Wen-Sheng], Zeng, J., de la Torre, F.[Fernando], Cohn, J.F.[Jeffrey F.], Messinger, D.S.[Daniel S.],
Unsupervised Synchrony Discovery in Human Interaction,
ICCV15(3146-3154)
IEEE DOI 1602
Acceleration BibRef

Chen, C.Y.[Cheng-Yao], Li, W.J.[Wen-Jie], Gao, D.H.[De-Hong], Hou, Y.X.[Yue-Xian],
Exploring Interpersonal Influence by Tracking User Dynamic Interactions,
IEEE_Int_Sys(32), No. 3, May 2017, pp. 28-35.
IEEE DOI 1706
Behavioral sciences, Computational modeling, Context awareness, Correlation, Hidden Markov models, Integrated circuit modeling, Social network services, Twitter, Twitter, artificial intelligence, dynamic interactions, intelligent systems, interpersonal influence, social, media BibRef

Wang, Z.H.[Zhen-Hua], Liu, S.[Sheng], Zhang, J.H.[Jian-Hua], Chen, S.Y.[Sheng-Yong], Guan, Q.[Qiu],
A Spatio-Temporal CRF for Human Interaction Understanding,
CirSysVideo(27), No. 8, August 2017, pp. 1647-1660.
IEEE DOI 1708
Computational modeling, Context, Feature extraction, Labeling, Predictive models, Training data, Videos, Conditional random fields (CRFs), human action recognition (HAR), interaction, video, understanding BibRef

Wang, Z.H.[Zhen-Hua], Ge, J.C.[Jin-Chao], Guo, D.Y.[Dong-Yan], Zhang, J.H.[Jian-Hua], Lei, Y.J.[Yan-Jing], Chen, S.Y.[Sheng-Yong],
Human Interaction Understanding With Joint Graph Decomposition and Node Labeling,
IP(30), 2021, pp. 6240-6254.
IEEE DOI 2107
Task analysis, Labeling, Feature extraction, Context modeling, Automobiles, Optimization, Mathematical model, graph decomposition BibRef

Jin, J.L.[Jia-Li], Wang, Z.H.[Zhen-Hua], Liu, S.[Sheng], Zhang, J.H.[Jian-Hua], Chen, S.Y.[Sheng-Yong], Guan, Q.[Qiu],
Joint label-interaction learning for human action recognition,
ICIP17(4507-4511)
IEEE DOI 1803
Feature extraction, Image edge detection, Inference algorithms, Labeling, Search problems, Support vector machines, Training, human interaction BibRef

Li, J.J.[Jian-Jun], Mao, X.[Xia], Chen, L.J.[Li-Jiang], Wang, L.[Lan],
Human interaction recognition fusing multiple features of depth sequences,
IET-CV(11), No. 7, October 2017, pp. 560-566.
DOI Link 1709
BibRef

Sabokrou, M.[Mohammad], Fayyaz, M., Fathy, M.[Mahmood], Klette, R.[Reinhard],
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes,
IP(26), No. 4, April 2017, pp. 1992-2004.
IEEE DOI 1704
Complexity theory BibRef

Fayyaz, M.[Mohsen], Saffar, M.H.[Mohammad Hajizadeh], Sabokrou, M.[Mohammad], Fathy, M.[Mahmood], Huang, F.[Fay], Klette, R.[Reinhard],
STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes,
CVTSV16(I: 493-509).
Springer DOI 1704
BibRef

Sabokrou, M.[Mohammad], Fathy, M.[Mahmood], Moayed, Z.[Zahra], Klette, R.[Reinhard],
Fast and accurate detection and localization of abnormal behavior in crowded scenes,
MVA(28), No. 8, November 2017, pp. 965-985.
Springer DOI 1710
BibRef

Sabokrou, M.[Mohammad], Fayyaz, M.[Mohsen], Fathy, M.[Mahmood], Moayed, Z.[Zahra], Klette, R.[Reinhard],
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes,
CVIU(172), 2018, pp. 88-97.
Elsevier DOI 1812
Video anomaly detection, CNN, Transfer learning, Real-time processing BibRef

Sabokrou, M.[Mohammad], Fathy, M.[Mahmood], Hoseini, M.[Mojtaba], Klette, R.[Reinhard],
Real-time anomaly detection and localization in crowded scenes,
Crowd15(56-62)
IEEE DOI 1510
Benchmark testing BibRef

Ogata, T.[Taiki], Higo, N.[Naoki], Nozawa, T.[Takayuki], Ono, E.[Eisuke], Yano, K.[Kazuo], Ara, K.[Koji], Miyake, Y.[Yoshihiro],
Interpersonal Coevolution of Body Movements in Daily Face-to-Face Communication,
IEICE(E100-D), No. 10, October 2017, pp. 2547-2555.
WWW Link. 1710
BibRef

Jang, H., Choe, S.P., Gunkel, S.N.B., Kang, S., Song, J.,
A System to Analyze Group Socializing Behaviors in Social Parties,
HMS(47), No. 6, December 2017, pp. 801-813.
IEEE DOI 1712
Behavioral sciences, Context awareness, Man-machine systems, Monitoring, Noise measurement, Real-time systems, Sensors, ubiquitous computing BibRef

Nguyen, D.C.[Duc-Canh], Bailly, G.[Gérard], Elisei, F.[Frédéric],
Learning off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks,
PRL(100), No. 1, 2017, pp. 29-36.
Elsevier DOI 1712
Face-to-face interaction BibRef

Manzi, A.[Alessandro], Fiorini, L.[Laura], Limosani, R.[Raffaele], Dario, P.[Paolo], Cavallo, F.[Filippo],
Two-person activity recognition using skeleton data,
IET-CV(12), No. 1, February 2018, pp. 27-35.
DOI Link 1801
BibRef

Keçeli, A.S.[Ali Seydi], Kaya, A.[Aydin], Can, A.B.[Ahmet Burak],
Depth features to recognise dyadic interactions,
IET-CV(12), No. 3, April 2018, pp. 331-339.
DOI Link 1804
BibRef

Chen, C.Y.[Chao-Yeh], Grauman, K.[Kristen],
Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance,
IJCV(126), No. 2-4, April 2018, pp. 292-313.
Springer DOI 1804
BibRef

Wu, H., Shao, J., Xu, X., Ji, Y., Shen, F., Shen, H.T.,
Recognition and Detection of Two-Person Interactive Actions Using Automatically Selected Skeleton Features,
HMS(48), No. 3, June 2018, pp. 304-310.
IEEE DOI 1805
Feature extraction, Indexes, Man-machine systems, Real-time systems, Skeleton, Surveillance, Interactive action, skeleton features BibRef

Ke, Q., Bennamoun, M., An, S., Sohel, F., Boussaid, F.,
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction,
MultMed(20), No. 7, July 2018, pp. 1712-1723.
IEEE DOI 1806
Computational modeling, Context modeling, Hidden Markov models, Matrix converters, Predictive models, ranking score fusion BibRef

Islam, S.[Shujah], Qasim, T.[Tehreem], Yasir, M.[Muhammad], Bhatti, N.[Naeem], Mahmood, H.[Hasan], Zia, M.[Muhammad],
Single- and two-person action recognition based on silhouette shape and optical point descriptors,
SIViP(12), No. 5, July 2018, pp. 853-860.
Springer DOI 1806
BibRef

Cavent, A.[Aytac], Ikizler-Cinbis, N.[Nazli],
Histograms of sequences: a novel representation for human interaction recognition,
IET-CV(12), No. 6, September 2018, pp. 844-854.
DOI Link 1808
BibRef

Massé, B.[Benoit], Ba, S.O.[Silèye O.], Horaud, R.[Radu],
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction,
PAMI(40), No. 11, November 2018, pp. 2711-2724.
IEEE DOI 1810
Estimation, Magnetic heads, Cameras, Face, Robot vision systems, Visual focus of attention, eye gaze, head pose, human-robot interaction BibRef

Tapus, A.[Adriana], Bandera, A.[Antonio], Vazquez-Martin, R.[Ricardo], Calderita, L.V.[Luis V.],
Perceiving the person and their interactions with the others for social robotics: A review,
PRL(118), 2019, pp. 3-13.
Elsevier DOI 1902
Social robots, Human perception, Human-robot interaction, Social interactions, Proxemics BibRef

Polhill, J.G.[J. Gareth], Ge, J.Q.[Jia-Qi], Hare, M.P.[Matthew P.], Matthews, K.B.[Keith B.], Gimona, A.[Alessandro], Salt, D.[Douglas], Yeluripati, J.[Jagadeesh],
Crossing the chasm: a 'tube-map' for agent-based social simulation of policy scenarios in spatially-distributed systems,
GeoInfo(23), No. 2, Apriul 2019, pp. 169-199.
Springer DOI 1906
Actions of individuals and groups and how they affect the whole. BibRef

Liu, B.L.[Bang-Li], Cai, H.B.[Hai-Bin], Ju, Z.J.[Zhao-Jie], Liu, H.H.[Hong-Hai],
RGB-D sensing based human action and interaction analysis: A survey,
PR(94), 2019, pp. 1-12.
Elsevier DOI 1906
Survey, RGB-D sensing, Action recognition, Interaction recognition, Deep learning BibRef

Liu, B.L.[Bang-Li], Cai, H.B.[Hai-Bin], Ji, X., Liu, H.H.[Hong-Hai],
Human-human interaction recognition based on spatial and motion trend feature,
ICIP17(4547-4551)
IEEE DOI 1803
Feature extraction, Histograms, Kernel, Market research, Punching, Semantics, Skeleton, Action recognition, Human-human interaction, Semantic moving words BibRef

Lian, J.[Jian], Zheng, Y.J.[Yuan-Jie], Jia, W.K.[Wei-Kuan], Zhao, Y.[Yanna], Fan, M.Q.[Ming-Qu], Wang, D.W.[Dong-Wei], Shang, S.Q.[Shu-Qi],
Automated recognition and discrimination of human-animal interactions using Fisher vector and hidden Markov model,
SIViP(13), No. 5, July 2019, pp. 993-1000.
Springer DOI 1906
BibRef

Chandran, A.K.[Arun Kumar], Poh, L.A.[Loh Ai], Vadakkepat, P.[Prahlad],
Real-time identification of pedestrian meeting and split events from surveillance videos using motion similarity and its applications,
RealTimeIP(16), No. 4, August 2019, pp. 971-987.
Springer DOI 1908
BibRef

Zhuo, L.[Li], Shi, Q.L.[Qing-Li], Zhang, C.Y.[Chen-Yang], Li, Q.P.[Qiu-Ping], Tao, H.Y.[Hai-Yan],
Identifying Building Functions from the Spatiotemporal Population Density and the Interactions of People among Buildings,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Wang, Z., Yang, N., Guo, M., Zhao, H.,
Human-Human Interactional Synchrony Analysis Based on Body Sensor Networks,
AffCom(10), No. 3, July 2019, pp. 407-416.
IEEE DOI 1909
Correlation, Time series analysis, Sensors, Data integration, Legged locomotion, Synchronization, Body sensor networks, data fusion BibRef

Stergiou, A.[Alexandros], Poppe, R.[Ronald],
Analyzing human-human interactions: A survey,
CVIU(188), 2019, pp. 102799.
Elsevier DOI 1910
Survey, Interactions. Human-human interaction, Human interaction recognition, Human activity BibRef

Islam, M.S.[M. Shujah], Iqbal, M.[Mansoor], Naqvi, N.[Nuzhat], Bakhat, K.[Khush], Islam, M.M.[M. Mattah], Kanwal, S.[Shamsa], Ye, Z.F.[Zhong-Fu],
CAD: concatenated action descriptor for one and two person(s), using silhouette and silhouette's skeleton,
IET-IPR(14), No. 3, 28 February 2020, pp. 417-422.
DOI Link 2002
BibRef

Afrasiabi, M.[Mahlagha], khotanlou, H.[Hassan], Mansoorizadeh, M.[Muharram],
DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features,
VC(36), No. 6, June 2020, pp. 1127-1139.
WWW Link. 2005
BibRef

Chafik, S.[Sanaa], Orcesi, A.[Astrid], Audigier, R.[Romaric], Luvison, B.[Bertrand],
Classifying All Interacting Pairs in a Single Shot,
WACV20(2881-2890)
IEEE DOI 2006
Task analysis, Visualization, Detectors, Complexity theory, Estimation, Measurement, Image recognition BibRef

Yao, R.H.[Rui-Hong], Wang, F.[Fei], Chen, S.H.[Shu-Hui], Zhao, S.[Shuang],
GroupSeeker: An Applicable Framework for Travel Companion Discovery from Vast Trajectory Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Liu, X.[Xing], Li, Y.S.[Yan-Shan], Guo, T.Y.[Tian-Yu], Xia, R.J.[Rong-Jie],
Relative view based holistic-separate representations for two-person interaction recognition using multiple graph convolutional networks,
JVCIR(70), 2020, pp. 102833.
Elsevier DOI 2007
Activity analysis, Human interaction recognition, Skeleton data, Graph Convolution, Relative view BibRef

Liu, H.P.[Hai-Ping], Yang, R.X.[Rui-Xia], Yang, Y.[Yang], Hou, C.P.[Chun-Ping], Hu, Z.Q.[Zhi-Qi], Jiang, T.L.[Tian-Li],
Human-human interaction recognition based on ultra-wideband radar,
SIViP(14), No. 6, September 2020, pp. 1181-1188.
Springer DOI 2008
BibRef

Freire-Obregón, D.[David], Castrillón-Santana, M.[Modesto], Barra, P.[Paola], Bisogni, C.[Carmen], Nappi, M.[Michele],
An attention recurrent model for human cooperation detection,
CVIU(197-198), 2020, pp. 102991.
Elsevier DOI 2008
BibRef

Jain, U.[Unnat], Weihs, L.[Luca], Kolve, E.[Eric], Farhadi, A.[Ali], Lazebnik, S.[Svetlana], Kembhavi, A.[Aniruddha], Schwing, A.[Alexander],
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks,
ECCV20(V:471-490).
Springer DOI 2011
BibRef

Shu, X.B.[Xiang-Bo], Tang, J.H.[Jin-Hui], Qi, G.J.[Guo-Jun], Liu, W.[Wei], Yang, J.[Jian],
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition,
PAMI(43), No. 3, March 2021, pp. 1110-1118.
IEEE DOI 2102
Dynamics, Videos, Logic gates, Deep learning, Task analysis, Pattern recognition, Feeds, Human interaction recognition, deep learning BibRef

Cabrera-Quiros, L., Demetriou, A., Gedik, E., van der Meij, L., Hung, H.,
The MatchNMingle Dataset: A Novel Multi-Sensor Resource for the Analysis of Social Interactions and Group Dynamics In-the-Wild During Free-Standing Conversations and Speed Dates,
AffCom(12), No. 1, January 2021, pp. 113-130.
IEEE DOI 2103
Cameras, Manuals, Acceleration, Crowdsourcing, Task analysis, Sensors, Computers, Multimodal dataset, speed-dates, mingle, f-formation, personality traits BibRef

Zhang, L., Hung, H.,
On Social Involvement in Mingling Scenarios: Detecting Associates of F-Formations in Still Images,
AffCom(12), No. 1, January 2021, pp. 165-176.
IEEE DOI 2103
Task analysis, Semantics, Psychology, Feature extraction, Labeling, Surveillance, Visualization, F-formations detection, social group detection BibRef

Xu, J.W.[Jing-Wei], Ni, B.B.[Bing-Bing], Yang, X.K.[Xiao-Kang],
Progressive Multi-granularity Analysis for Video Prediction,
IJCV(129), No. 3, March 2021, pp. 601-618.
Springer DOI 2103
BibRef

Yao, T.P.[Tai-Ping], Wang, M.[Minsi], Ni, B.B.[Bing-Bing], Wei, H.W.[Hua-Wei], Yang, X.K.[Xiao-Kang],
Multiple Granularity Group Interaction Prediction,
CVPR18(2246-2254)
IEEE DOI 1812
Trajectory, Skeleton, Generators, Predictive models, Task analysis, Feature extraction, Activity recognition BibRef

Zhu, L.P.[Li-Ping], Wan, B.[Bohua], Li, C.Y.[Cheng-Yang], Tian, G.Y.[Gang-Yi], Hou, Y.[Yi], Yuan, K.[Kun],
Dyadic Relational Graph Convolutional Networks for Skeleton-Based Human Interaction Recognition,
PR(115), 2021, pp. 107920.
Elsevier DOI 2104
3D skeleton-based interaction recognition, Multi-scale graph convolution networks, Graph inference BibRef

Arzani, M.M.[Mohammad M.], Fathy, M.[Mahmood], Azirani, A.A.[Ahmad A.], Adeli, E.[Ehsan],
Switching Structured Prediction for Simple and Complex Human Activity Recognition,
Cyber(51), No. 12, December 2021, pp. 5859-5870.
IEEE DOI 2112
Skeleton, Switches, Activity recognition, Graphical models, Task analysis, Mouth, Manifolds, skeleton BibRef

Perez, M.[Mauricio], Liu, J.[Jun], Kot, A.C.[Alex C.],
Interaction Relational Network for Mutual Action Recognition,
MultMed(24), 2022, pp. 366-376.
IEEE DOI 2202
Cognition, Videos, Task analysis, Feature extraction, Skeleton, Data mining, Support vector machines, Interaction recognition, skeleton based BibRef

Cafaro, A.[Angelo], Ravenet, B.[Brian], Pelachaud, C.[Catherine],
Exploiting Evolutionary Algorithms to Model Nonverbal Reactions to Conversational Interruptions in User-Agent Interactions,
AffCom(13), No. 1, January 2022, pp. 485-495.
IEEE DOI 2203
Taxonomy, Evolutionary computation, Interrupters, Psychology, Affective computing, Computational modeling, Adaptation models, embodied conversational agents BibRef

Shao, Z.F.[Zhen-Feng], Cheng, G.[Gui], Ma, J.Y.[Jia-Yi], Wang, Z.Y.[Zhong-Yuan], Wang, J.M.[Jia-Ming], Li, D.R.[De-Ren],
Real-Time and Accurate UAV Pedestrian Detection for Social Distancing Monitoring in COVID-19 Pandemic,
MultMed(24), No. 2022, pp. 2069-2083.
IEEE DOI 2204
Head, Social factors, Human factors, Feature extraction, Real-time systems, Object detection, COVID-19, UAV, COVID-19, social distancing monitoring BibRef

Lee, D.G.[Dong-Gyu], Lee, S.W.[Seong-Whan],
Human interaction recognition framework based on interacting body part attention,
PR(128), 2022, pp. 108645.
Elsevier DOI 2205
Human activity recognition, Human-human interaction, Interacting body part attention BibRef

Haroon, U.[Umair], Ullah, A.[Amin], Hussain, T.[Tanveer], Ullah, W.[Waseem], Sajjad, M.[Muhammad], Muhammad, K.[Khan], Lee, M.Y.[Mi Young], Baik, S.W.[Sung Wook],
A Multi-Stream Sequence Learning Framework for Human Interaction Recognition,
HMS(52), No. 3, June 2022, pp. 435-444.
IEEE DOI 2205
Feature extraction, Skeleton, Pose estimation, Computational modeling, Logic gates, multistream network BibRef

Bertoni, L.[Lorenzo], Kreiss, S.[Sven], Alahi, A.[Alexandre],
Perceiving Humans: From Monocular 3D Localization to Social Distancing,
ITS(23), No. 7, July 2022, pp. 7401-7418.
IEEE DOI 2207
Task analysis, Social factors, Human factors, Location awareness, Object detection, Cameras, Autonomous systems, computer vision, COVID-19 BibRef

Savchenko, A.V.[Andrey V.], Savchenko, L.V.[Lyudmila V.], Makarov, I.[Ilya],
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network,
AffCom(13), No. 4, October 2022, pp. 2132-2143.
IEEE DOI 2212
Feature extraction, Face recognition, Electronic learning, Emotion recognition, Task analysis, Training, mobile devices BibRef

Pan, J.G.J.H.[Jibin Gao Jia-Hui], Zhang, S.J.[Shao-Jie], Zheng, W.S.[Wei-Shi],
Automatic Modelling for Interactive Action Assessment,
IJCV(131), No. 3, March 2023, pp. 659-679.
Springer DOI 2302
BibRef

Woo, J.[Jieyeon], Yang, L.[Liu], Achard, C.[Catherine], Pelachaud, C.[Catherine],
Are we in sync during turn switch?,
FG23(1-4)
IEEE DOI 2303
speaking interaction, switch between people. Face recognition, Focusing, Switches, Gesture recognition, Acoustics, Synchronization, Frequency synchronization BibRef

Vail, A.K.[Alexandria K.], Girard, J.[Jeffrey], Bylsma, L.[Lauren], Cohn, J.[Jeffrey], Fournier, J.[Jay], Swartz, H.[Holly], Morency, L.P.[Louis-Philippe],
Goals, Tasks, and Bonds: Toward the Computational Assessment of Therapist Versus Client Perception of Working Alliance,
FG21(1-8)
IEEE DOI 2303
Face recognition, Sociology, Medical treatment, Collaboration, Gesture recognition, Predictive models, Maintenance engineering BibRef

Sharma, S.[Srijan], Gangadhara, K.G.[Kantha Girish], Xu, F.[Fei], Slowe, A.S.[Anne Solbu], Frank, M.G.[Mark G.], Nwogu, I.[Ifeoma],
Coupled Systems for Modeling Rapport Between Interlocutors,
FG21(1-8)
IEEE DOI 2303
Face recognition, Transfer learning, Neural networks, Gesture recognition, Predictive models, Logic gates, Transformers BibRef

Meynard, A.[Adrien], Seneviratna, G.[Gayan], Doyle, E.[Elliot], Becker, J.[Joyanne], Wu, H.T.[Hau-Tieng], Borg, J.S.[Jana Schaich],
Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony,
FG21(1-8)
IEEE DOI 2303
Head, Atmospheric measurements, Robot kinematics, Face recognition, Psychology, Gesture recognition, Games BibRef

Alghowinem, S.[Sharifa], Chen, H.[Huili], Breazeal, C.[Cynthia], Park, H.W.[Hae Won],
Body Gesture and Head Movement Analyses in Dyadic Parent-Child Interaction as Indicators of Relationship,
FG21(01-05)
IEEE DOI 2303
Visualization, Face recognition, Gesture recognition, Feature extraction, Magnetic heads, Data mining BibRef

Wang, R.[Renke], Ahn, Y.J.A.[Yeo Jin Amy], Messinger, D.[Daniel], Nwogu, I.[Ifeoma],
Towards the Synthesis of Parent-Infant Facial Interactions,
FG21(1-8)
IEEE DOI 2303
Pediatrics, Autism, Image converters, Face recognition, Impedance matching, Gesture recognition BibRef

Orcesi, A.[Astrid], Audigier, R.[Romaric], Toukam, F.P.[Fritz Poka], Luvison, B.[Bertrand],
Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO,
FG21(1-8)
IEEE DOI 2303
Water, Training, Face recognition, Taxonomy, Semantics, Focusing, Gesture recognition BibRef

Zhang, S.W.[Si-Wei], Ma, Q.[Qianli], Zhang, Y.[Yan], Qian, Z.[Zhiyin], Kwon, T.[Taein], Pollefeys, M.[Marc], Bogo, F.[Federica], Tang, S.[Siyu],
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices,
ECCV22(VI:180-200).
Springer DOI 2211
BibRef

Duan, J.[Jiafei], Yu, S.[Samson], Poria, S.[Soujanya], Wen, B.[Bihan], Tan, C.[Cheston],
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection,
ECCV22(XXXV:405-421).
Springer DOI 2211
BibRef

Hu, B.[Bo], Cham, T.J.[Tat-Jen],
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior,
ECCV22(IV:439-456).
Springer DOI 2211
BibRef

Kambara, M.[Motonari], Sugiura, K.[Komei],
Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks,
ICIP22(2601-2605)
IEEE DOI 2211
Service robots, Transformers, Task analysis, Older adults, Future Captioning, Domestic Service Robots, Relational Self-Attention BibRef

Ito, Y.[Yoshiki], Kong, Q.[Quan], Morita, K.[Kenichi], Yoshinaga, T.[Tomoaki],
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter-and Intra-Body Graphs,
ICIP22(231-235)
IEEE DOI 2211
Image recognition, Convolution, Computational modeling, Pose estimation, Streaming media, Computational complexity, two-person interaction recognition BibRef

Ijaz, M.[Momal], Diaz, R.[Renato], Chen, C.[Chen],
Multimodal Transformer for Nursing Activity Recognition,
CVPM22(2064-2073)
IEEE DOI 2210
Hospitals, Sociology, Manuals, Activity recognition, Transformers, Feature extraction, Skeleton BibRef

Liu, Y.J.[Yue-Jiang], Yan, Q.[Qi], Alahi, A.[Alexandre],
Social NCE: Contrastive Learning of Socially-aware Motion Representations,
ICCV21(15098-15109)
IEEE DOI 2203
Codes, Navigation, Neural networks, Training data, Reinforcement learning, Data collection, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Chen, S.[Shuo], Shi, Z.L.[Zeng-Lin], Mettes, P.S.[Pascal S.], Snoek, C.G.M.[Cees G. M.],
Social Fabric: Tubelet Compositions for Video Relation Detection,
ICCV21(13465-13474)
IEEE DOI 2203

WWW Link. Codes, Computational modeling, Benchmark testing, Encoding, Fabrics, BibRef

Gong, D.[Dong], Zhang, Z.[Zhen], Shi, J.Q.F.[Javen Qin-Feng], van den Hengel, A.J.[Anton J.],
Memory-Augmented Dynamic Neural Relational Inference,
ICCV21(11823-11832)
IEEE DOI 2203
Adaptation models, Memory management, Estimation, Memory modules, Predictive models, Trajectory BibRef

Dai, Z.R.[Zhi-Rui], Jiang, Y.P.[Yue-Peng], Li, Y.[Yi], Liu, B.[Bo], Chan, A.B.[Antoni B.], Vasconcelos, N.M.[Nuno M.],
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning,
ICCV21(5381-5391)
IEEE DOI 2203
Visualization, Head, Annotations, Pose estimation, Human factors, Cameras, Social factors, Vision applications and systems, BibRef

Ye, R.L.[Ruo-Lin], Xu, W.Q.[Wen-Qiang], Xue, Z.D.[Zhen-Dong], Tang, T.T.[Tu-Tian], Wang, Y.F.[Yan-Feng], Lu, C.[Cewu],
H2O: A Benchmark for Visual Human-human Object Handover Analysis,
ICCV21(15742-15751)
IEEE DOI 2203
Water, Visualization, Collaboration, Receivers, Handover, Benchmark testing, Vision for robotics and autonomous vehicles, 3D from a single image and shape-from-x BibRef

Wang, Z.H.[Zhen-Hua], Meng, J.J.[Jia-Jun], Guo, D.Y.[Dong-Yan], Zhang, J.H.[Jian-Hua], Shi, J.Q.F.[Javen Qin-Feng], Chen, S.Y.[Sheng-Yong],
Consistency-Aware Graph Network for Human Interaction Understanding,
ICCV21(13349-13358)
IEEE DOI 2203
Training, Benchmark testing, Predictive models, Feature extraction, Prediction algorithms, Cognition, Inference algorithms, Scene analysis and understanding BibRef

Kim, T.S.[Tae Soo], Jones, J.[Jonathan], Hager, G.D.[Gregory D.],
Motion Guided Attention Fusion to Recognize Interactions from Videos,
ICCV21(13056-13066)
IEEE DOI 2203
Fuses, Computational modeling, Dynamics, Object detection, Feature extraction, Task analysis, BibRef

Rui-Zhe, L.[Liu],
Cohabitation Discovery via Spatial and Temporal Clustering,
ICIP21(220-224)
IEEE DOI 2201
Who is with who. Deep learning, Image recognition, Face recognition, Clustering algorithms, Object detection, Cohabitation, face recognition BibRef

Felicioni, S.[Simone], Dimiccoli, M.[Mariella],
Interaction-GCN: A Graph Convolutional Network Based Framework for Social Interaction Recognition in Egocentric Videos,
ICIP21(2348-2352)
IEEE DOI 2201
Location awareness, Solid modeling, Image recognition, Head, Logic gates, social interaction recognition, egocentric vision BibRef

Aghaei, M.[Maya], Bustreo, M.[Matteo], Wang, Y.M.[Yi-Ming], Bailo, G.[Gianluca], Morerio, P.[Pietro], del Bue, A.[Alessio],
Single Image Human Proxemics Estimation for Visual Social Distancing,
WACV21(2784-2794)
IEEE DOI 2106
Torso, Visualization, Surveillance, Estimation, Human factors, Detectors, Social factors BibRef

Palmero, C.[Cristina], Selva, J.[Javier], Smeureanu, S.[Sorina], Junior, J.C.S.J.[Julio C. S. Jacques], Clapés, A.[Albert], Moseguí, A.[Alexa], Zhang, Z.[Zejian], Gallardo, D.[David], Guilera, G.[Georgina], Leiva, D.[David], Escalera, S.[Sergio],
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset,
WACVW21(1-12) Human Behavior Understanding
IEEE DOI 2105
Psychology, Collaboration, Physiology, Acoustics
See also UDIVA Dataset. BibRef

Li, C.[Chao], Zhang, Q.[Qian], Zhao, Z.[Ziping], Gu, L.[Li], Schuller, B.[Björn],
Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network,
ICPR21(8862-8869)
IEEE DOI 2105
Time-frequency analysis, Spectroscopy, Recurrent neural networks, Convolution, Predictive models, Spatiotemporal phenomena BibRef

Kilickaya, M.[Mert], Hussein, N.[Noureldien], Gavves, E.[Efstratios], Smeulders, A.[Arnold],
Self-Selective Context for Interaction Recognition,
ICPR21(1-8)
IEEE DOI 2105
Image recognition, Correlation, Urban areas, Bicycles, Pattern recognition, Object recognition, Noise measurement BibRef

Men, Q.[Qianhui], Ho, E.S.L.[Edmond S. L.], Shum, H.P.H.[Hubert P. H.], Leung, H.[Howard],
A Two-Stream Recurrent Network for Skeleton-based Human Interaction Recognition,
ICPR21(2771-2778)
IEEE DOI 2105
Adaptation models, Solid modeling, Correlation, Recurrent neural networks, Probabilistic logic BibRef

Cartas, A.[Alejandro], Radeva, P.[Petia], Dimiccoli, M.[Mariella],
Modeling Long-Term Interactions to Enhance Action Recognition,
ICPR21(10351-10358)
IEEE DOI 2105
Image recognition, Semantics, Neural networks, Benchmark testing, Pattern recognition, Standards, Videos BibRef

Tang, J.J.[Jia-Jun], Xia, J.[Jin], Mu, X.Z.[Xin-Zhi], Pang, B.[Bo], Lu, C.[Cewu],
Asynchronous Interaction Aggregation for Action Detection,
ECCV20(XV:71-87).
Springer DOI 2011
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Peng, Y., Chen, D.Z., Lin, L.,
Visual Relationship Detection With A Deep Convolutional Relationship Network,
ICIP20(1461-1465)
IEEE DOI 2011
Visualization, Task analysis, Marine vehicles, Object detection, Message passing, Feature extraction, Detectors, Pair Filter BibRef

Kashima, T., Masui, K., Nakayama, H.,
Unsupervised Visual Relationship Inference,
ICIP20(1476-1480)
IEEE DOI 2011
Visualization, Training, Image reconstruction, Generators, Databases, Linguistics, Semantics, Deep Learning, Unsupervised Learning BibRef

Yang, C.L., Setyoko, A., Tampubolon, H., Hua, K.L.,
Pairwise Adjacency Matrix on Spatial Temporal Graph Convolution Network for Skeleton-Based Two-Person Interaction Recognition,
ICIP20(2166-2170)
IEEE DOI 2011
Large scale integration, Indexes, skeleton-based action recognition, pairwise adjacency matrix BibRef

Li, S., Yang, H., Sun, J.,
Multilevel Interaction Reasoning For Complex Event Recognition,
ICIP20(1891-1895)
IEEE DOI 2011
Feature extraction, Cognition, Convolution, Data mining, Semantics, Training, Graph Convolution Network BibRef

Rempe, D.[Davis], Guibas, L.J.[Leonidas J.], Hertzmann, A.[Aaron], Russell, B.[Bryan], Villegas, R.[Ruben], Yang, J.[Jimei],
Contact and Human Dynamics from Monocular Video,
ECCV20(V:71-87).
Springer DOI 2011
BibRef

Zitouni, M.S.[M. Sami], Sluzek, A.[Andrzej],
Video-surveillance Tools for Monitoring Social Responsibility Under COVID-19 Restrictions,
ICCVG20(227-239).
Springer DOI 2009
BibRef

Kukleva, A., Tapaswi, M.[Makarand], Laptev, I.[Ivan],
Learning Interactions and Relationships Between Movie Characters,
CVPR20(9846-9855)
IEEE DOI 2008
Motion pictures, Visualization, Predictive models, Correlation, Feature extraction, Task analysis, Computer vision BibRef

Li, H.X.[Hao-Xin], Zheng, W.S.[Wei-Shi], Tao, Y.[Yu], Hu, H.F.[Hai-Feng], Lai, J.H.[Jian-Huang],
Adaptive Interaction Modeling via Graph Operations Search,
CVPR20(518-527)
IEEE DOI 2008
Adaptation models, Convolution, Computational modeling, Adaptive systems, Aggregates BibRef

Wang, S.C.[Su-Chen], Duan, Y.[Yueqi], Ding, H.H.[Heng-Hui], Tan, Y.P.[Yap-Peng], Yap, K.H.[Kim-Hui], Yuan, J.S.[Jun-Song],
Learning Transferable Human-Object Interaction Detector with Natural Language Supervision,
CVPR22(929-938)
IEEE DOI 2210
Visualization, Correlation, Codes, Natural languages, Detectors, Data collection, Recognition: detection, categorization, retrieval, Action and event recognition BibRef

Wang, S.C.[Su-Chen], Yap, K.H.[Kim-Hui], Ding, H.H.[Heng-Hui], Wu, J.Y.[Ji-Yan], Yuan, J.S.[Jun-Song], Tan, Y.P.[Yap-Peng],
Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection,
ICCV21(13455-13464)
IEEE DOI 2203
Vocabulary, Codes, Target recognition, Face recognition, Object detection, Detectors, Action and behavior recognition, Detection and localization in 2D and 3D BibRef

Wang, S.C.[Su-Chen], Yap, K.H.[Kim-Hui], Yuan, J.S.[Jun-Song], Tan, Y.P.[Yap-Peng],
Discovering Human Interactions With Novel Objects via Zero-Shot Learning,
CVPR20(11649-11658)
IEEE DOI 2008
Proposals, Semantics, Visualization, Detectors, Task analysis, Object detection, Feature extraction BibRef

Fieraru, M., Zanfir, M., Oneata, E., Popa, A., Olaru, V., Sminchisescu, C.,
Three-Dimensional Reconstruction of Human Interactions,
CVPR20(7212-7221)
IEEE DOI 2008
Skeleton, Solid modeling, Image reconstruction, Surface reconstruction, Shape BibRef

Sun, X.Y.[Xiang-Yu], Liu, Q.[Qiong], Yang, Y.[You],
Similarity Graph Convolutional Construction Network for Interactive Action Recognition,
MMMod20(II:291-303).
Springer DOI 2003
BibRef

Pratt, S.[Sarah], Yatskar, M.[Mark], Weihs, L.[Luca], Farhadi, A.[Ali], Kembhavi, A.[Aniruddha],
Grounded Situation Recognition,
ECCV20(IV:314-332).
Springer DOI 2011
BibRef

Jain, U.[Unnat], Weihs, L.[Luca], Kolve, E.[Eric], Rastegari, M.[Mohammad], Lazebnik, S.[Svetlana], Farhadi, A.[Ali], Schwing, A.G.[Alexander G.], Kembhavi, A.[Aniruddha],
Two Body Problem: Collaborative Visual Task Completion,
CVPR19(6682-6692).
IEEE DOI 2002
BibRef

Efthymiou, N., Koutras, P., Filntisis, P.P., Potamianos, G., Maragos, P.,
Multi-View Fusion for Action Recognition in Child-Robot Interaction,
ICIP18(455-459)
IEEE DOI 1809
Feature extraction, Encoding, Robots, Sensor fusion, Support vector machines, Sensor phenomena and characterization, child-robot interaction BibRef

Vereecken, R., Petridis, S., Panagakis, Y., Pantic, M.,
Online Attention for Interpretable Conflict Estimation in Political Debates,
FG18(389-393)
IEEE DOI 1806
Correlation, Decoding, Estimation, Feature extraction, Task analysis, Videos, Visualization, CONFER, attention, conflict, debate, estimation, political BibRef

Aung, A.M., Whitehill, J.,
Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition,
FG18(166-170)
IEEE DOI 1806
Detectors, Face, Face recognition, Image recognition, Probability distribution, Training, Uncertainty, student engagement recognition BibRef

Olier, J.S., Campo, D.A., Marcenaro, L., Barakova, E., Rauterberg, M., Regazzoni, C.,
Active estimation of motivational spots for modeling dynamic interactions,
AVSS17(1-6)
IEEE DOI 1806
adaptive systems, dynamic programming, learning (artificial intelligence), neural nets, Training BibRef

Daoudi, M., Coello, Y., Descrosiers, P.A., Ott, L.,
A New Computational Approach to Identify Human Social Intention in Action,
FG18(512-516)
IEEE DOI 1806
Cameras, Covariance matrices, Kinematics, Manifolds, Shape, Trajectory, Mocap, Riemannian geomtry, social intention BibRef

Grafsgaard, J., Duran, N., Randall, A., Tao, C., d'Mello, S.,
Generative Multimodal Models of Nonverbal Synchrony in Close Relationships,
FG18(195-202)
IEEE DOI 1806
Economic indicators, Face, Gesture recognition, LSTM, close relationships, couples therapy, facial expression, nonverbal synchrony BibRef

Era, T., Yoshimura, H., Nishiyama, M., Iwai, Y.,
Inferring state transition from bystander to participant in free-style conversational interaction,
AVSS17(1-6)
IEEE DOI 1806
cognition, feature extraction, psychology, bystanders, cognitive science, free-style conversational interaction, Speech BibRef

Klein, R., Celik, T.,
The Wits Intelligent Teaching System: Detecting student engagement during lectures using convolutional neural networks,
ICIP17(2856-2860)
IEEE DOI 1803
Convolutional neural networks, Head, Neurons, Support vector machines, Training, Writing, Machine Learning BibRef

Tian, L.[Li], Jia, Q.[Qi], Zhu, Z.[Zhen],
Predicting Turn-Taking by Compact Gazing Transition Patterns in Multiparty Conversation,
PSIVT17(437-447).
Springer DOI 1802
BibRef

Zhuang, B., Liu, L., Shen, C., Reid, I.D.[Ian D.],
Towards Context-Aware Interaction Recognition for Visual Relationship Detection,
ICCV17(589-598)
IEEE DOI 1802
generalisation (artificial intelligence), image classification, learning (artificial intelligence), Visualization BibRef

Sudhakaran, S., Lanz, O.,
Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions,
Egocentric17(2339-2346)
IEEE DOI 1802
Convolution, Feature extraction, Logic gates, Machine learning, Optical imaging, BibRef

Bano, S., Zhang, J., McKenna, S.J.[Stephen J.],
Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video,
Egocentric17(2322-2330)
IEEE DOI 1802
Cameras, Face, Feature extraction, Legged locomotion, Tracking, Visualization BibRef

Lee, N.[Namhoon], Choi, W.[Wongun], Vernaza, P.[Paul], Choy, C.B.[Christopher B.], Torr, P.H.S.[Philip H.S.], Chandraker, M.[Manmohan],
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents,
CVPR17(2165-2174)
IEEE DOI 1711
Predictive models, Recurrent neural networks, Semantics, Stochastic processes, Trajectory, Vehicle dynamics BibRef

Bagautdinov, T., Alahi, A., Fleuret, F., Fua, P., Savarese, S.,
Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,
CVPR17(3425-3434)
IEEE DOI 1711
Activity recognition, Feature extraction, Image sequences, Proposals, Recurrent, neural, networks BibRef

Shu, X., Tang, J., Qi, G.J., Song, Y., Li, Z., Zhang, L.,
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition,
DeepLearn-T17(2176-2183)
IEEE DOI 1709
Aerodynamics, Computer science, Logic gates, Microprocessors, Pattern recognition BibRef

Wang, Y., Ye, X., Yang, Y., Zhang, W.,
Hand Movement Prediction Based Collision-Free Human-Robot Interaction,
DeepLearnRV17(492-493)
IEEE DOI 1709
Collision avoidance, Planning, Predictive models, Robots, Safety, Trajectory, Visualization BibRef

Stephens, K.[Kyle], Bors, A.G.[Adrian G.],
Recognizing Interactions Between People from Video Sequences,
CAIP17(I: 80-91).
Springer DOI 1708
BibRef

van Gemeren, C., Poppe, R., Veltkamp, R.C.,
Lend Me a Hand: Auxiliary Image Data Helps Interaction Detection,
FG17(538-543)
IEEE DOI 1707
BibRef
Earlier:
Locating human interactions with discriminatively trained deformable pose+motion parts,
ICPR16(991-996)
IEEE DOI 1705
Data models, Deformable models, Detectors, Feature extraction, Joints, Training, Visualization. Histograms, Trajectory, Videos BibRef

Katsageorgiou, V.M., Zanotto, M., Huang, H., Ferretti, V., Papaleo, F., Sona, D., Murino, V.[Vittorio],
Unsupervised mouse behavior analysis: A data-driven study of mice interactions,
ICPR16(925-930)
IEEE DOI 1705
Data models, Feature extraction, Input variables, Mice, Nose, Rodents, Supervised, learning BibRef

Aghaei, M., Dimiccoli, M., Radeva, P.,
With whom do I interact? Detecting social interactions in egocentric photo-streams,
ICPR16(2959-2964)
IEEE DOI 1705
Cameras, Feature extraction, Head, Recurrent neural networks, Videos, Visualization BibRef

Shan, D.Y.[Ding-Yi], Qing, L.Y.[Lai-Yun], Miao, J.[Jun],
Human Interaction Recognition by Mining Discriminative Patches on Key Frames,
ACCV16(II: 352-367).
Springer DOI 1704
BibRef

Huang, X.Y.[Xin-Yue], Kovashka, A.[Adriana],
Inferring Visual Persuasion via Body Language, Setting, and Deep Features,
ChaLearn16(778-784)
IEEE DOI 1612
BibRef

Kim, J.[Jaebok], Truong, K.P.[Khiet P.], Charisi, V.[Vicky], Zaga, C.[Cristina], Evers, V.[Vanessa], Chetouani, M.[Mohamed],
Multimodal Detection of Engagement in Groups of Children Using Rank Learning,
HBU16(35-48).
Springer DOI 1611
BibRef

Halfon, S.[Sibel], Oktay, E.A.[Eda Aydin], Salah, A.A.[Albert Ali],
Assessing Affective Dimensions of Play in Psychodynamic Child Psychotherapy via Text Analysis,
HBU16(15-34).
Springer DOI 1611
BibRef

Chu, X.[Xiao], Ouyang, W.L.[Wan-Li], Yang, W.[Wei], Wang, X.G.[Xiao-Gang],
Multi-task Recurrent Neural Network for Immediacy Prediction,
ICCV15(3352-3360)
IEEE DOI 1602
In still image. BibRef

Ziaeefard, M.[Maryam], Bergevin, R.[Robert],
Integration of Uncertainty in the Analysis of Dyadic Human Activities,
CRV16(208-215)
IEEE DOI 1612
activity prediction;categorical likelihoods;time-slice;uncertainty BibRef

Ziaeefard, M.[Maryam], Bergevin, R.[Robert], Morency, L.P.[Louis-Philippe],
Time-slice Prediction of Dyadic Human Activities,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Geronimo, D.[David], Kjellstrom, H.[Hedvig],
Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance,
ICPR14(4630-4635)
IEEE DOI 1412
Detectors Forensic analysis, walking, fighting, re-identification. BibRef

Noceti, N.[Nicoletta], Odone, F.[Francesca],
A Spectral Graph Kernel and Its Application to Collective Activities Classification,
ICPR14(3892-3897)
IEEE DOI 1412
Accuracy BibRef

Zhao, C.Y.[Chao-Yang], Fu, W.[Wei], Wang, J.Q.[Jin-Qiao], Bai, X.[Xiao], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing],
Discriminative Context Models for Collective Activity Recognition,
ICPR14(648-653)
IEEE DOI 1412
Accuracy BibRef

Li, N.[Nijun], Cheng, X.[Xu], Guo, H.Y.[Hai-Yan], Wu, Z.Y.[Zhen-Yang],
A Hybrid Method for Human Interaction Recognition Using Spatio-temporal Interest Points,
ICPR14(2513-2518)
IEEE DOI 1412
Correlation BibRef

Bogun, I.[Ivan], Khan, H.[Haidar], Chen, J.[Jacob], Ribeiro, E.[Eraldo],
Interaction Recognition Using Sparse Portraits,
ICPR14(2531-2536)
IEEE DOI 1412
Detectors, Feature extraction, Kernel, Tracking, Trajectory, Vectors, Videos BibRef

Gong, W.J.[Wen-Juan], Gonzàlez, J.[Jordi], Tavares, J.M.R.S.[João Manuel R.S.], Xavier Roca, F.,
A New Image Dataset on Human Interactions,
AMDO12(204-209).
Springer DOI 1208
Dataset, Action Recognition. BibRef

van Gemeren, C.[Coert], Poppe, R.[Ronald], Veltkamp, R.C.[Remco C.],
Spatio-Temporal Detection of Fine-Grained Dyadic Human Interactions,
HBU16(116-133).
Springer DOI 1611
BibRef

van Gemeren, C.[Coert], Tan, R.T.[Robby T.], Poppe, R.[Ronald], Veltkamp, R.C.[Remco C.],
Dyadic Interaction Detection from Pose and Flow,
HBU14(101-115).
Springer DOI 1411
BibRef

Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua], Zhou, S.M.[Shang-Ming],
Conversational Interaction Recognition Based on Bodily and Facial Movement,
ICIAR14(I: 237-245).
Springer DOI 1410
BibRef

Tapaswi, M.[Makarand], Bauml, M.[Martin], Stiefelhagen, R.[Rainer],
StoryGraphs: Visualizing Character Interactions as a Timeline,
CVPR14(827-834)
IEEE DOI 1409
BibRef

Slimani, K.N.E.[Khadidja Nour El_Houda], Benezeth, Y.[Yannick], Souami, F.[Feriel],
Human Interaction Recognition Based on the Co-occurrence of Visual Words,
SocialInter14(461-466)
IEEE DOI 1409
Co_occurence matrix; Human interaction recognition; Visual words BibRef

Hoai, M.[Minh], Zisserman, A.[Andrew],
Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries,
ACCV14(IV: 222-237).
Springer DOI 1504
BibRef
And:
Talking Heads: Detecting Humans and Recognizing Their Interactions,
CVPR14(875-882)
IEEE DOI 1409
BibRef

Sathayanarayana, S.[Suchitra], Satzoda, R.K.[Ravi Kumar], Carini, A.[Amber], Lee, M.[Monique], Salamanca, L.[Linda], Reilly, J.[Judy], Forster, D.[Deborah], Bartlett, M.[Marian], Littlewort, G.[Gwen],
Towards Automated Understanding of Student-Tutor Interactions Using Visual Deictic Gestures,
SocialInter14(480-487)
IEEE DOI 1409
BibRef

Huang, D.A.[De-An], Kitani, K.M.[Kris M.],
Action-Reaction: Forecasting the Dynamics of Human Interaction,
ECCV14(VII: 489-504).
Springer DOI 1408
BibRef

Tian, L.[Lu], Duan, D.R.[Ding-Rui], Cui, J.S.[Jin-Shi], Wang, L.[Li], Zha, H.B.[Hong-Bin], Aghajan, H.,
Video Based Children's Social Behavior Classification in Peer-Play Scenarios,
ACPR13(770-774)
IEEE DOI 1408
BibRef
And: SocialInter13(746-747)
IEEE DOI 1403
BibRef
And: A2, A1, A3, A4, A5, A6:
Gaze Estimation in Children's Peer-Play Scenarios,
ACPR13(760-764)
IEEE DOI 1408
pose estimation behavioural sciences computing BibRef

Ayazoglu, M.[Mustafa], Yilmaz, B.[Burak], Sznaier, M.[Mario], Camps, O.[Octavia],
Finding Causal Interactions in Video Sequences,
ICCV13(3575-3582)
IEEE DOI 1403
Block Sparsification; Granger Causality; Sparse Graph Identification BibRef

Motiian, S.[Saeid], Feng, K.[Ke], Bharthavarapu, H.[Harika], Sharlemin, S.[Sajid], Doretto, G.[Gianfranco],
Pairwise Kernels for Human Interaction Recognition,
ISVC13(II:210-221).
Springer DOI 1311
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Ramanathan, V.[Vignesh], Joulin, A.[Armand], Liang, P.[Percy], Fei-Fei, L.[Li],
Linking People in Videos with 'Their' Names Using Coreference Resolution,
ECCV14(I: 95-110).
Springer DOI 1408
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Ramanathan, V.[Vignesh], Liang, P.[Percy], Fei-Fei, L.[Li],
Video Event Understanding Using Natural Language Descriptions,
ICCV13(905-912)
IEEE DOI 1403
natural language descriptions; video event recognition BibRef

Chakraborty, I.[Ishani], Cheng, H.[Hui], Javed, O.[Omar],
3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image,
CVPR13(3406-3413)
IEEE DOI 1309
3D people layout; RANSAC; Visual Proxemics; semantic constraints BibRef

Li, R.N.[Ruo-Nan], Zickler, T.E.[Todd E.],
Discriminative virtual views for cross-view action recognition,
CVPR12(2855-2862).
IEEE DOI 1208
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Khamis, S.[Sameh], Davis, L.S.[Larry S.],
Walking and talking: A bilinear approach to multi-label action recognition,
Crowd15(1-8)
IEEE DOI 1510
Algorithm design and analysis BibRef

London, B.[Ben], Khamis, S.[Sameh], Bach, S.H.[Stephen H.], Huang, B.[Bert], Getoor, L.[Lise], Davis, L.S.[Larry S.],
Collective Activity Detection Using Hinge-loss Markov Random Fields,
SPTLI13(566-571)
IEEE DOI 1309
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Acampora, G.[Giovanni], Foggia, P.[Pasquale], Saggese, A.[Alessia], Vento, M.[Mario],
Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding,
AVSS12(88-93).
IEEE DOI 1211
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Koutsombogera, M.[Maria], Papageorgiou, H.[Harris],
Iconic Gestures in Face-to-Face TV Interviews,
GW11(262-273).
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Odashima, S.[Shigeyuki], Shimosaka, M.[Masamichi], Kaneko, T.[Takuhiro], Fukui, R.[Rui], Sato, T.[Tomomasa],
Collective Activity Localization with Contextual Spatial Pyramid,
Action12(III: 243-252).
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Kaneko, T.[Takuhiro], Shimosaka, M.[Masamichi], Odashima, S.[Shigeyuki], Fukui, R.[Rui], Sato, T.[Tomomasa],
Viewpoint Invariant Collective Activity Recognition with Relative Action Context,
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Springer DOI 1210
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Khamis, S.[Sameh], Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Combining Per-frame and Per-track Cues for Multi-person Action Recognition,
ECCV12(I: 116-129).
Springer DOI 1210
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And:
A flow model for joint action recognition and identity maintenance,
CVPR12(1218-1225).
IEEE DOI 1208
BibRef

Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Multi-agent event recognition in structured scenarios,
CVPR11(3289-3296).
IEEE DOI 1106
BibRef

Prabhakar, K.[Karthir], Rehg, J.M.[James M.],
Categorizing Turn-Taking Interactions,
ECCV12(V: 383-396).
Springer DOI 1210
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Zhou, Y.[Yue], Yan, S.C.[Shui-Cheng], Huang, T.S.[Thomas S.],
Categorizing bi-object video activities using bag of segments and causality features,
VNBA08(55-60).
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two interacting moving objects. bag of segments. BibRef

Yun, K.[Kiwon], Honorio, J.[Jean], Chattopadhyay, D.[Debaleena], Berg, T.L.[Tamara L.], Samaras, D.[Dimitris],
Two-person interaction detection using body-pose features and multiple instance learning,
HAU3D12(28-35).
IEEE DOI 1207
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Kimura, R.[Ryohei], Takemura, N.[Noriko], Iwai, Y.[Yoshio], Sato, K.[Kosuke],
Extracting Interval Distribution of Human Interactions,
PSIVT11(II: 262-273).
Springer DOI 1111
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Ni, K.Y.[Kang-Yu], Mundhenk, T.N.[Terrell N.], Kim, K.[Kyungnam], Owechko, Y.[Yuri],
Manifold-based fingerprinting for target identification,
CNWASA12(1-6).
IEEE DOI 1207
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Kim, K.[Kyungnam], Cao, M.[Michael], Rao, S.[Shankar], Xu, J.[Jiejun], Medasani, S.[Swarup], Owechko, Y.[Yuri],
Multi-object detection and behavior recognition from motion 3D data,
HAU3D11(37-42).
IEEE DOI 1106
BibRef

Shapovalova, N.[Nataliya], Gong, W.J.[Wen-Juan], Pedersoli, M.[Marco], Roca, F.X.[Francesc Xavier], Gonzàlez, J.[Jordi],
On Importance of Interactions and Context in Human Action Recognition,
IbPRIA11(58-66).
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Activities, Groups, Several People .

Last update:Mar 21, 2023 at 18:34:39