Výsledky vyhledávání

Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons

Autor: Niall L. Williams, Dinesh Manocha, Aniket Bera

Publikováno v: IEEE Transactions on Visualization and Computer Graphics. 27:4267-4277

We present a new approach for redirected walking in static and dynamic scenes that uses techniques from robot motion planning to compute the redirection gains that steer the user on collision-free paths in the physical space. Our first contribution i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6315dfba7148f35996abfa4e90b19d27
https://doi.org/10.1109/tvcg.2021.3106432

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Modeling Data-Driven Dominance Traits for Virtual Characters Using Gait Analysis

Autor: Kurt Gray, Aniket Bera, Dinesh Manocha, Tanmay Randhavane, Emily Kubin

Publikováno v: IEEE Transactions on Visualization and Computer Graphics. 27:2967-2979

We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven dominance mapping between gaits and dominance labels. We use our dominance m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e16e93a7f231d2ff1872d72e3813cc59
https://doi.org/10.1109/tvcg.2019.2953063

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Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion

Autor: Aniket Bera, Trisha Mittal, Dinesh Manocha

Publikováno v: IEEE MultiMedia. 28:67-75

We present a learning model for multimodal context-aware emotion recognition. Our approach combines multiple human co-occurring modalities (such as facial, audio, textual, and pose/gaits) and two interpretations of context. To gather and encode backg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b9f40b752303190d3c67f01e5d40b65
https://doi.org/10.1109/mmul.2021.3068387

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Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

Autor: Trisha Mittal, Tianrui Guan, Dinesh Manocha, Uttaran Bhattacharya, Srujan Panuganti, Rohan Chandra, Aniket Bera

Publikováno v: IEEE Robotics and Automation Letters. 5:4882-4890

We present a novel approach for traffic forecasting in urban traffic scenarios using a combination of spectral graph analysis and deep learning. We predict both the low-level information (future trajectories) as well as the high-level information (ro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb87877e60ae3a4ffc2ad60e1c2074a
https://doi.org/10.1109/lra.2020.3004794

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STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Autor: Tanmay Randhavane, Aniket Bera, Uttaran Bhattacharya, Trisha Mittal, Dinesh Manocha, Rohan Chandra

Publikováno v: AAAI

We present a novel classifier network called STEP, to classify perceived human emotion from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) architecture. Given an RGB video of an individual walking, our formulation implicitly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca87c04056db2fc4b01b0490c008cdab
https://doi.org/10.1609/aaai.v34i02.5490

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M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues

Autor: Aniket Bera, Dinesh Manocha, Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal

Publikováno v: AAAI

We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also is more robust than other methods to sensor no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa3b1aa876ad0daff14e3642d9a0e008
https://doi.org/10.1609/aaai.v34i02.5492

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