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https://deepai.org/profile/bowen-yin Bowen Yin | DeepAI Read Bowen Yin's latest research, browse their coauthor's research, and play around with their algorithms bowen yin deepai https://deepai.org/publication/orthogonality-constrained-multi-head-attention-for-keyword-spotting Orthogonality Constrained Multi-Head Attention For Keyword Spotting | DeepAI Oct 10, 2019 - 10/10/19 - Multi-head attention mechanism is capable of learning various representations from sequential data while paying attention to diffe... multi head keyword spotting orthogonality constrained attention https://deepai.org/publication/isltranslate-dataset-for-translating-indian-sign-language ISLTranslate: Dataset for Translating Indian Sign Language | DeepAI Jul 11, 2023 - 07/11/23 - Sign languages are the primary means of communication for many hard-of-hearing people worldwide. Recently, to bridge the communica... indian sign language dataset translating deepai https://deepai.org/profile/michael-strube Michael Strube | DeepAI Read Michael Strube's latest research, browse their coauthor's research, and play around with their algorithms michael strube deepai https://deepai.org/profile/hongyu-he Hongyu He | DeepAI Read Hongyu He's latest research, browse their coauthor's research, and play around with their algorithms hongyu deepai https://deepai.org/profile/yuxiao-wen Yuxiao Wen | DeepAI Read Yuxiao Wen's latest research, browse their coauthor's research, and play around with their algorithms wen deepai https://deepai.org/publication/word-graph-and-manifold-embedding-from-markov-processes Word, graph and manifold embedding from Markov processes | DeepAI Sep 18, 2015 - 09/18/15 - Continuous vector representations of words and objects appear to carry surprisingly rich semantic content. In this paper, we advan... markov processes word graph manifold embedding https://deepai.org/publication/the-attack-generator-a-systematic-approach-towards-constructing-adversarial-attacks The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks | DeepAI Jun 17, 2019 - 06/17/19 - Most state-of-the-art machine learning (ML) classification systems are vulnerable to adversarial perturbations. As a consequence, ... the attack adversarial attacks generator systematic https://deepai.org/publication/verifying-quantum-phase-estimation-qpe-using-prove-it Verifying Quantum Phase Estimation (QPE) using Prove-It | DeepAI Apr 5, 2023 - 04/05/23 - The general-purpose interactive theorem-proving assistant called Prove-It was used to verify the Quantum Phase Estimation (QPE) al... prove it verifying quantum phase estimation https://deepai.org/profile/gabriel-barrenechea Gabriel Barrenechea | DeepAI Read Gabriel Barrenechea's latest research, browse their coauthor's research, and play around with their algorithms gabriel barrenechea deepai https://deep.ai/profile/christopher-baik Christopher Baik | DeepAI Read Christopher Baik's latest research, browse their coauthor's research, and play around with their algorithms christopher baik deepai https://deepai.org/profile/alexander-sludds Alexander Sludds | DeepAI Read Alexander Sludds's latest research, browse their coauthor's research, and play around with their algorithms alexander deepai https://deepai.org/publication/remod-relation-extraction-for-modeling-online-discourse REMOD: Relation Extraction for Modeling Online Discourse | DeepAI Feb 22, 2021 - 02/22/21 - The enormous amount of discourse taking place online poses challenges to the functioning of a civil and informed public sphere. Ef... relation extraction remod modeling online discourse https://deepai.org/profile/jason-roy Jason Roy | DeepAI Read Jason Roy's latest research, browse their coauthor's research, and play around with their algorithms jason roy deepai https://deepai.org/publication/ballgan-3d-aware-image-synthesis-with-a-spherical-background BallGAN: 3D-aware Image Synthesis with a Spherical Background | DeepAI Jan 22, 2023 - 01/22/23 - 3D-aware GANs aim to synthesize realistic 3D scenes such that they can be rendered in arbitrary perspectives to produce images. Al... image synthesis aware spherical background deepai https://deepai.org/profile/marina-paez Marina Paez | DeepAI Read Marina Paez's latest research, browse their coauthor's research, and play around with their algorithms marina paez deepai https://deepai.org/profile/geng-yan Geng Yan | DeepAI Read Geng Yan's latest research, browse their coauthor's research, and play around with their algorithms geng yan deepai https://cdnjs.deepai.org/ DeepAI Artificially intelligent tools for naturally creative humans. deepai https://deep.ai/profile/jason-j-corso Jason J. Corso | DeepAI Associate Professor of Electrical Engineering and Computer Science at University of Michigan jason corso deepai https://deepai.org/profile/harshad-zade Harshad Zade | DeepAI Read Harshad Zade's latest research, browse their coauthor's research, and play around with their algorithms harshad zade deepai https://cdnjs.deepai.org/publication/speeding-up-neural-networks-for-large-scale-classification-using-wta-hashing Speeding Up Neural Networks for Large Scale Classification using WTA Hashing | DeepAI Apr 28, 2015 - 04/28/15 - In this paper we propose to use the Winner Takes All hashing technique to speed up forward propagation and backward propagation in... neural networks large scale https://deepai.org/publication/training-few-shot-classification-via-the-perspective-of-minibatch-and-pretraining Training few-shot classification via the perspective of minibatch and pretraining | DeepAI Apr 10, 2020 - 04/10/20 - Few-shot classification is a challenging task which aims to formulate the ability of humans to learn concepts from limited prior d... the perspective https://deepai.org/profile/eunjeong-jeong Eunjeong Jeong | DeepAI Read Eunjeong Jeong's latest research, browse their coauthor's research, and play around with their algorithms jeong deepai https://deepai.org/publication/continuous-planning-for-inertial-aided-systems Continuous Planning for Inertial-Aided Systems | DeepAI Sep 12, 2022 - 09/12/22 - Inertial-aided systems require continuous motion excitation among other reasons to characterize the measurement biases that will e... continuous planning inertial aided systems deepai https://deepai.org/profile/tobias-von-falkenhausen Tobias von Falkenhausen | DeepAI Read Tobias von Falkenhausen's latest research, browse their coauthor's research, and play around with their algorithms tobias von deepai https://deepai.org/publication/accelerated-gradient-tracking-over-time-varying-graphs-for-decentralized-optimization Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization | DeepAI Apr 6, 2021 - 04/06/21 - Decentralized optimization over time-varying graphs has been increasingly common in modern machine learning with massive data stor... over time accelerated gradient tracking https://deepai.org/publication/stochastic-package-queries-in-probabilistic-databases Stochastic Package Queries in Probabilistic Databases | DeepAI Mar 11, 2021 - 03/11/21 - We provide methods for in-database support of decision making under uncertainty. Many important decision problems correspond to se... stochastic package queries probabilistic databases https://deepai.com/profile/zhu-han Zhu Han | DeepAI Full Professor of Electrical and Computer Engineering and joint professor of Computer Science at University of Houston zhu han deepai https://deepai.org/profile/suraj-p-kesavan Suraj P. Kesavan | DeepAI Read Suraj P. Kesavan's latest research, browse their coauthor's research, and play around with their algorithms suraj p kesavan https://deepai.org/publication/what-do-compressed-large-language-models-forget-robustness-challenges-in-model-compression What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression | DeepAI Oct 16, 2021 - 10/16/21 - Recent works have focused on compressing pre-trained language models (PLMs) like BERT where the major focus has been to improve th... large language models https://deepai.org/publication/caesr-conditional-autoencoder-and-super-resolution-for-learned-spatial-scalability CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability | DeepAI Feb 1, 2022 - 02/01/22 - In this paper, we present CAESR, an hybrid learning-based coding approach for spatial scalability based on the versatile video cod... super resolution conditional autoencoder https://deepai.org/profile/yiping-wei Yiping Wei | DeepAI Read Yiping Wei's latest research, browse their coauthor's research, and play around with their algorithms yiping wei deepai https://deepai.org/publication/towards-neural-numeric-to-text-generation-from-temporal-personal-health-data Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data | DeepAI Jul 11, 2022 - 07/11/22 - With an increased interest in the production of personal health technologies designed to track user data (e.g., nutrient intake, s... text generation https://api.deepai.org/publication/cdt-cascading-decision-trees-for-explainable-reinforcement-learning CDT: Cascading Decision Trees for Explainable Reinforcement Learning | DeepAI Nov 15, 2020 - 11/15/20 - Deep Reinforcement Learning (DRL) has recently achieved significant advances in various domains. However, explaining the policy of... decision trees reinforcement learning cdt cascading explainable https://deepai.org/publication/analysis-and-optimisation-of-distribution-matching-for-the-nonlinear-fibre-channel Analysis and Optimisation of Distribution Matching for the Nonlinear Fibre Channel | DeepAI Jul 5, 2019 - 07/05/19 - Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to... https://deepai.org/publication/patchmatchnet-learned-multi-view-patchmatch-stereo PatchmatchNet: Learned Multi-View Patchmatch Stereo | DeepAI Dec 2, 2020 - 12/02/20 - We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high... multi view learned stereo deepai https://deepai.org/publication/theoretical-limits-of-one-shot-distributed-learning Theoretical Limits of One-Shot Distributed Learning | DeepAI May 12, 2019 - 05/12/19 - We consider a distributed system of m machines and a server. Each machine draws n i.i.d samples from an unknown distribution and s... one shot distributed learning theoretical limits deepai https://deepai.org/profile/man-zhou Man Zhou | DeepAI Read Man Zhou's latest research, browse their coauthor's research, and play around with their algorithms man zhou deepai https://deepai.org/profile/wujiang-xu Wujiang Xu | DeepAI Read Wujiang Xu's latest research, browse their coauthor's research, and play around with their algorithms xu deepai https://deepai.org/publication/posetrackreid-dataset-description PoseTrackReID: Dataset Description | DeepAI Nov 12, 2020 - 11/12/20 - Current datasets for video-based person re-identification (re-ID) do not include structural knowledge in form of human pose annota... dataset description deepai https://deepai.org/publication/agora-towards-an-open-ecosystem-for-democratizing-data-science-artificial-intelligence Agora: Towards An Open Ecosystem for Democratizing Data Science Artificial Intelligence | DeepAI Sep 6, 2019 - 09/06/19 - Data science and artificial intelligence are driven by a plethora of diverse data-related assets including datasets, data streams,... open ecosystem https://deepai.org/profile/oliver-fischer Oliver Fischer | DeepAI Read Oliver Fischer's latest research, browse their coauthor's research, and play around with their algorithms oliver fischer deepai https://deepai.org/publication/closing-the-gap-joint-de-identification-and-concept-extraction-in-the-clinical-domain Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain | DeepAI May 19, 2020 - 05/19/20 - Exploiting natural language processing in the clinical domain requires de-identification, i.e., anonymization of personal informat... closing the gap https://deep.ai/profile/abdul-waheed Abdul Waheed | DeepAI Read Abdul Waheed's latest research, browse their coauthor's research, and play around with their algorithms abdul waheed deepai https://deepai.org/profile/valerie-l-shalin Valerie L. Shalin | DeepAI Read Valerie L. Shalin's latest research, browse their coauthor's research, and play around with their algorithms valerie shalin deepai https://deepai.org/publication/profile-matching-for-the-generalization-and-personalization-of-causal-inferences Profile Matching for the Generalization and Personalization of Causal Inferences | DeepAI May 20, 2021 - 05/20/21 - We introduce profile matching, a multivariate matching method for randomized experiments and observational studies that finds the ... profile matching for the generalization https://deepai.org/publication/optimal-sub-sampling-to-boost-power-of-kernel-sequential-change-point-detection Optimal Sub-sampling to Boost Power of Kernel Sequential Change-point Detection | DeepAI Oct 26, 2022 - 10/26/22 - We present a novel scheme to boost detection power for kernel maximum mean discrepancy based sequential change-point detection pro... https://cdnjs.deepai.org/profile/diyi-yang Diyi Yang | DeepAI Read Diyi Yang's latest research, browse their coauthor's research, and play around with their algorithms diyi yang deepai https://deepai.org/publication/task-generalization-with-stability-guarantees-via-elastic-dynamical-system-motion-policies Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies | DeepAI Sep 5, 2023 - 09/05/23 - Dynamical System (DS) based Learning from Demonstration (LfD) allows learning of reactive motion policies with stability and conve... https://deepai.org/profile/yunshu-du Yunshu Du | DeepAI Read Yunshu Du's latest research, browse their coauthor's research, and play around with their algorithms du deepai https://deepai.org/profile/khairul-alam Khairul Alam | DeepAI Read Khairul Alam's latest research, browse their coauthor's research, and play around with their algorithms khairul alam deepai https://deepai.org/publication/normalized-stochastic-gradient-descent-training-of-deep-neural-networks Normalized Stochastic Gradient Descent Training of Deep Neural Networks | DeepAI Dec 20, 2022 - 12/20/22 - In this paper, we introduce a novel optimization algorithm for machine learning model training called Normalized Stochastic Gradie... stochastic gradient descent deep neural networks normalized training deepai https://deepai.org/profile/jiajun-shen Jiajun Shen | DeepAI Read Jiajun Shen's latest research, browse their coauthor's research, and play around with their algorithms jiajun shen deepai https://ai.g2.com/marketplace/tools/deepai-deepai DeepAI - AI Marketplace | G2 Diarupt AI is an advanced artificial intelligence platform designed to revolutionize the way businesses analyze and interpret complex data. By leveraging sta... ai marketplace deepai https://deepai.org/profile/adriana-reigota-silva Adriana Reigota Silva | DeepAI Read Adriana Reigota Silva's latest research, browse their coauthor's research, and play around with their algorithms adriana silva deepai https://deepai.org/publication/dowhy-an-end-to-end-library-for-causal-inference DoWhy: An End-to-End Library for Causal Inference | DeepAI Nov 9, 2020 - 11/09/20 - In addition to efficient statistical estimators of a treatment's effect, successful application of causal inference requires speci... to library causal inference end deepai https://deepai.org/publication/efficient-pure-exploration-for-combinatorial-bandits-with-semi-bandit-feedback Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback | DeepAI Jan 21, 2021 - 01/21/21 - Combinatorial bandits with semi-bandit feedback generalize multi-armed bandits, where the agent chooses sets of arms and observes ... efficient pure exploration combinatorial https://deepai.org/profile/jianlin-feng Jianlin Feng | DeepAI Read Jianlin Feng's latest research, browse their coauthor's research, and play around with their algorithms feng deepai https://deepai.org/profile/haoyun-jiang Haoyun Jiang | DeepAI Read Haoyun Jiang's latest research, browse their coauthor's research, and play around with their algorithms jiang deepai https://deepai.org/profile/uri-shalit Uri Shalit | DeepAI Read Uri Shalit's latest research, browse their coauthor's research, and play around with their algorithms uri shalit deepai https://deepai.org/publication/bayesian-approaches-to-shrinkage-and-sparse-estimation Bayesian Approaches to Shrinkage and Sparse Estimation | DeepAI Dec 22, 2021 - 12/22/21 - In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical mod... bayesian approaches shrinkage sparse estimation https://deepai.org/publication/safety-guarantees-for-neural-network-dynamic-systems-via-stochastic-barrier-functions Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions | DeepAI Jun 15, 2022 - 06/15/22 - Neural Networks (NNs) have been successfully employed to represent the state evolution of complex dynamical systems. Such models, ... neural network dynamic systems https://deepai.org/publication/parameterized-algorithms-for-upward-planarity Parameterized Algorithms for Upward Planarity | DeepAI Mar 10, 2022 - 03/10/22 - We obtain new parameterized algorithms for the classical problem of determining whether a directed acyclic graph admits an upward ... algorithms upward deepai https://deepai.org/publication/distributed-randomized-kaczmarz-for-the-adversarial-workers Distributed randomized Kaczmarz for the adversarial workers | DeepAI Feb 28, 2022 - 02/28/22 - Developing large-scale distributed methods that are robust to the presence of adversarial or corrupted workers is an important par... for the distributed randomized kaczmarz adversarial https://deepai.org/profile/qimai-li Qimai Li | DeepAI Second-Class Prize in HUAWEI Code Craft, Huawei Technologies Co., Ltd li deepai https://api.deepai.org/publication/a-survey-of-end-to-end-driving-architectures-and-training-methods A Survey of End-to-End Driving: Architectures and Training Methods | DeepAI Mar 13, 2020 - 03/13/20 - Autonomous driving is of great interest to industry and academia alike. The use of machine learning approaches for autonomous driv... a survey training methods end https://deepai.org/publication/lovasz-convolutional-networks Lovasz Convolutional Networks | DeepAI May 29, 2018 - 05/29/18 - Semi-supervised learning on graph structured data has received significant attention with the recent introduction of graph convolu... convolutional networks deepai https://cdnjs.deepai.org/profile/qiqi-ren Qiqi Ren | DeepAI Read Qiqi Ren's latest research, browse their coauthor's research, and play around with their algorithms qiqi ren deepai https://api.deepai.org/publication/estimating-the-power-consumption-of-heterogeneous-devices-when-performing-ai-inference Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference | DeepAI Jul 13, 2022 - 07/13/22 - Modern-day life is driven by electronic devices connected to the internet. The emerging research field of the Internet-of-Things (... the power https://deepai.org/publication/how-do-human-users-teach-a-continual-learning-robot-in-repeated-interactions How Do Human Users Teach a Continual Learning Robot in Repeated Interactions? | DeepAI Jun 30, 2023 - 06/30/23 - Continual learning (CL) has emerged as an important avenue of research in recent years, at the intersection of Machine Learning (M... https://deepai.org/profile/chi-hung-hsu Chi-Hung Hsu | DeepAI Read Chi-Hung Hsu's latest research, browse their coauthor's research, and play around with their algorithms chi hung hsu deepai https://deepai.org/publication/fine-tuning-language-models-from-human-preferences Fine-Tuning Language Models from Human Preferences | DeepAI Sep 18, 2019 - 09/18/19 - Reward learning enables the application of reinforcement learning (RL) to tasks where reward is defined by human judgment, buildin... fine tuning language models human preferences deepai https://deepai.org/profile/huazhe-xu Huazhe Xu | DeepAI Read Huazhe Xu's latest research, browse their coauthor's research, and play around with their algorithms xu deepai https://deepai.org/profile/kaipeng-zhang Kaipeng Zhang | DeepAI Read Kaipeng Zhang's latest research, browse their coauthor's research, and play around with their algorithms zhang deepai https://deepai.org/publication/attention-please-adversarial-defense-via-attention-rectification-and-preservation Attention, Please! Adversarial Defense via Attention Rectification and Preservation | DeepAI Nov 24, 2018 - 11/24/18 - This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack ... attention please adversarial defense via rectification https://deepai.org/publication/exploring-adversarial-attack-in-spiking-neural-networks-with-spike-compatible-gradient Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient | DeepAI Jan 1, 2020 - 01/01/20 - Recently, backpropagation through time inspired learning algorithms are widely introduced into SNNs to improve the performance, wh... spiking neural networks adversarial attack https://api.deepai.org/profile/nick-johnston Nick Johnston | DeepAI Read Nick Johnston's latest research, browse their coauthor's research, and play around with their algorithms nick johnston deepai https://deepai.org/profile/liangliang-zhang Liangliang Zhang | DeepAI Read Liangliang Zhang's latest research, browse their coauthor's research, and play around with their algorithms zhang deepai https://www.pazarlamasyon.com/makale/deepai deepai | Pazarlamasyon deepai https://deep.ai/publication/compact-lattice-gadget-and-its-applications-to-hash-and-sign-signatures Compact Lattice Gadget and Its Applications to Hash-and-Sign Signatures | DeepAI May 21, 2023 - 05/21/23 - This work aims to improve the practicality of gadget-based cryptosystems, with a focus on hash-and-sign signatures. To this end, w... compact lattice gadget https://deepai.org/publication/adversarial-graph-disentanglement Adversarial Graph Disentanglement | DeepAI Mar 12, 2021 - 03/12/21 - A real-world graph has a complex topology structure, which is often formed by the interaction of different latent factors. Disenta... adversarial graph disentanglement deepai https://deep.ai/profile/peter-steiner Peter Steiner | DeepAI Read Peter Steiner's latest research, browse their coauthor's research, and play around with their algorithms peter steiner deepai https://deepai.org/profile/philip-s-thomas Philip S. Thomas | DeepAI Read Philip S. Thomas's latest research, browse their coauthor's research, and play around with their algorithms philip s thomas deepai https://api.deepai.org/profile/ensheng-shi Ensheng Shi | DeepAI Read Ensheng Shi's latest research, browse their coauthor's research, and play around with their algorithms shi deepai https://deepai.org/profile/xingran-xie Xingran Xie | DeepAI Read Xingran Xie's latest research, browse their coauthor's research, and play around with their algorithms xie deepai https://deepai.org/profile/will-usher Will Usher | DeepAI Read Will Usher's latest research, browse their coauthor's research, and play around with their algorithms usher deepai https://deepai.org/publication/disentangled-makeup-transfer-with-generative-adversarial-network Disentangled Makeup Transfer with Generative Adversarial Network | DeepAI Jul 2, 2019 - 07/02/19 - Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-mak... disentangled makeup transfer generative adversarial https://deepai.org/publication/multi-level-monte-carlo-variational-inference Multi-level Monte Carlo Variational Inference | DeepAI Feb 1, 2019 - 02/01/19 - In many statistics and machine learning frameworks, stochastic optimization with high variance gradients has become an important p... multi level monte carlo variational inference deepai https://deepai.com/publication/attention-model-enhanced-network-for-classification-of-breast-cancer-image Attention Model Enhanced Network for Classification of Breast Cancer Image | DeepAI Oct 7, 2020 - 10/07/20 - Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep le... for classification breast cancer attention model enhanced https://api.deepai.org/profile/benedikt-bollig Benedikt Bollig | DeepAI Read Benedikt Bollig's latest research, browse their coauthor's research, and play around with their algorithms benedikt deepai https://deepai.org/profile/toshiki-saitoh Toshiki Saitoh | DeepAI Read Toshiki Saitoh's latest research, browse their coauthor's research, and play around with their algorithms deepai https://api.deepai.org/profile/yihang-lou Yihang Lou | DeepAI Read Yihang Lou's latest research, browse their coauthor's research, and play around with their algorithms lou deepai https://deepai.org/profile/perfecto-herrera Perfecto Herrera | DeepAI Read Perfecto Herrera's latest research, browse their coauthor's research, and play around with their algorithms perfecto herrera deepai https://deepai.org/profile/pramuditha-perera Pramuditha Perera | DeepAI I'm an applied scientist at Amazon AWS in NYC. I received my PhD from the Department of Electrical and ComputerEngineering, Johns Hopkins University,... perera deepai https://deep.ai/publication/stochastic-modified-equations-for-continuous-limit-of-stochastic-admm Stochastic Modified Equations for Continuous Limit of Stochastic ADMM | DeepAI Mar 7, 2020 - 03/07/20 - Stochastic version of alternating direction method of multiplier (ADMM) and its variants (linearized ADMM, gradient-based ADMM) pl... stochastic modified equations continuous limit https://deepai.org/profile/diman-zad-tootaghaj Diman Zad Tootaghaj | DeepAI Read Diman Zad Tootaghaj's latest research, browse their coauthor's research, and play around with their algorithms diman zad deepai https://deepai.org/publication/kittingbot-a-mobile-manipulation-robot-for-collaborative-kitting-in-automotive-logistics KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics | DeepAI Sep 14, 2018 - 09/14/18 - Individualized manufacturing of cars requires kitting: the collection of individual sets of part variants for each car. This chall... mobile manipulation https://deepai.org/profile/franziska-kaltenberger Franziska Kaltenberger | DeepAI Read Franziska Kaltenberger's latest research, browse their coauthor's research, and play around with their algorithms franziska deepai https://deepai.org/publication/automatic-adaptation-of-person-association-for-multiview-tracking-in-group-activities Automatic Adaptation of Person Association for Multiview Tracking in Group Activities | DeepAI May 22, 2018 - 05/22/18 - Reliable markerless motion tracking of multiple people participating in complex group activity from multiple handheld cameras is c... https://api.deepai.org/profile/yijun-yan Yijun Yan | DeepAI Read Yijun Yan's latest research, browse their coauthor's research, and play around with their algorithms yan deepai