Search Results for author: Tiantian Feng

Found 8 papers, 4 papers with code

Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

1 code implementation15 Mar 2022 Tiantian Feng, Shrikanth Narayanan

In this work, we propose a semi-supervised federated learning framework, Semi-FedSER, that utilizes both labeled and unlabeled data samples to address the challenge of limited labeled data samples in FL.

Federated Learning Speech Emotion Recognition

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

1 code implementation26 Dec 2021 Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan

To assess the information leakage of SER systems trained using FL, we propose an attribute inference attack framework that infers sensitive attribute information of the clients from shared gradients or model parameters, corresponding to the FedSGD and the FedAvg training algorithms, respectively.

Federated Learning Inference Attack +1

Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video

1 code implementation30 May 2021 Jianfeng Li, Junqiao Zhao, Shuangfu Song, Tiantian Feng

Compared with independent training, joint training can make full use of the geometric relationship between geometric elements and provide dynamic and static information of the scene.

Depth Estimation Optical Flow Estimation +1

Screenplay Quality Assessment: Can We Predict Who Gets Nominated?

no code implementations WS 2020 Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan

Toward that goal, in this work, we present a method to evaluate the quality of a screenplay based on linguistic cues.

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

no code implementations18 Mar 2020 Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan

We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings.

Privacy Preserving

Occlusion Aware Unsupervised Learning of Optical Flow From Video

1 code implementation4 Mar 2020 Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong

In this paper, we proposed an unsupervised learning method for estimating the optical flow between video frames, especially to solve the occlusion problem.

Optical Flow Estimation

Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking

no code implementations26 Sep 2018 Yewei Huang, Junqiao Zhao, Xudong He, Shaoming Zhang, Tiantian Feng

In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots.

Autonomous Driving Indoor Localization

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