Search Results for author: Yu Yin

Found 20 papers, 9 papers with code

AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction

no code implementations31 Oct 2023 Zhe Hu, Hou Pong Chan, Yu Yin

Argument generation is a challenging task in natural language processing, which requires rigorous reasoning and proper content organization.

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection

no code implementations13 Aug 2023 Haichao Zhang, Can Qin, Yu Yin, Yun Fu

This approach can serve as a plug-and-play data generation and augmentation module for existing camouflaged object detection tasks and provides a novel way to introduce more diversity and distributions into current camouflage datasets.

Image Generation Object +2

NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation

no code implementations CVPR 2023 Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu

Furthermore, our method leverages explicit and implicit 3D regularizations using the in-domain neighborhood samples around the optimized latent code to remove geometrical and visual artifacts.

Image Animation

Semi-supervised Domain Adaptive Structure Learning

1 code implementation12 Dec 2021 Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

Semi-supervised domain adaptation (SSDA) is quite a challenging problem requiring methods to overcome both 1) overfitting towards poorly annotated data and 2) distribution shift across domains.

Domain Adaptation Representation Learning +1

Context-Aware Interaction Network for Question Matching

no code implementations EMNLP 2021 Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo

Impressive milestones have been achieved in text matching by adopting a cross-attention mechanism to capture pertinent semantic connections between two sentence representations.

Sentence Text Matching

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing

no code implementations15 Jan 2021 Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang

In this paper, we study a novel model-agnostic CAT problem, where we aim to propose a flexible framework that can adapt to different cognitive models.

Active Learning

Multimodal In-bed Pose and Shape Estimation under the Blankets

no code implementations12 Dec 2020 Yu Yin, Joseph P. Robinson, Yun Fu

Typically, humans are covered by a blanket when resting, for which we propose a multimodal approach to uncover the subjects so their bodies at rest can be viewed without the occlusion of the blankets above.

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

no code implementations7 Dec 2020 Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu

Even as impressive milestones are achieved in synthesizing faces, the importance of preserving identity is needed in practice and should not be overlooked.

Face Generation Generative Adversarial Network +2

Collaborative Attention Mechanism for Multi-View Action Recognition

no code implementations14 Sep 2020 Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu

Extensive experiments on four action datasets illustrate the proposed CAM achieves better results for each view and also boosts multi-view performance.

Action Recognition Representation Learning

Families In Wild Multimedia: A Multimodal Database for Recognizing Kinship

no code implementations28 Jul 2020 Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

Thus, to narrow the gap between research and reality and enhance the power of kinship recognition systems, we extend FIW with multimedia (MM) data (i. e., video, audio, and text captions).

Dual-Attention GAN for Large-Pose Face Frontalization

1 code implementation17 Feb 2020 Yu Yin, Songyao Jiang, Joseph P. Robinson, Yun Fu

Face frontalization provides an effective and efficient way for face data augmentation and further improves the face recognition performance in extreme pose scenario.

Data Augmentation Face Generation +3

Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

2 code implementations15 Feb 2020 Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much higher than ever before.

Gesture Recognition Kinship Verification +1

Contradictory Structure Learning for Semi-supervised Domain Adaptation

1 code implementation6 Feb 2020 Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

Current adversarial adaptation methods attempt to align the cross-domain features, whereas two challenges remain unsolved: 1) the conditional distribution mismatch and 2) the bias of the decision boundary towards the source domain.

Clustering Domain Adaptation +1

Joint Super-Resolution and Alignment of Tiny Faces

1 code implementation19 Nov 2019 Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu

As for SR, the proposed method recovers sharper edges and more details from LR face images than other state-of-the-art methods, which we demonstrate qualitatively and quantitatively.


Neural Cognitive Diagnosis for Intelligent Education Systems

1 code implementation23 Aug 2019 Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.

cognitive diagnosis

EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

1 code implementation7 Jun 2019 Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu

In EERNN, we simply summarize each student's state into an integrated vector and trace it with a recurrent neural network, where we design a bidirectional LSTM to learn the encoding of each exercise's content.

Knowledge Tracing

QuesNet: A Unified Representation for Heterogeneous Test Questions

no code implementations27 May 2019 Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su

Then we propose a two-level hierarchical pre-training algorithm to learn better understanding of test questions in an unsupervised way.

Language Modelling

Transcribing Content from Structural Images with Spotlight Mechanism

no code implementations27 May 2019 Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu

Then, we decide "what-to-write" by developing a GRU based network with the spotlight areas for transcribing the content accordingly.

Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience

1 code implementation18 Nov 2018 Yu Yin, Mohsen Nabian, Miolin Fan, Chun-An Chou, Maria Gendron, Sarah Ostadabbas

In this paper, we present a multimodal approach to simultaneously analyze facial movements and several peripheral physiological signals to decode individualized affective experiences under positive and negative emotional contexts, while considering their personalized resting dynamics.

In-Bed Pose Estimation: Deep Learning with Shallow Dataset

1 code implementation3 Nov 2017 Shuangjun Liu, Yu Yin, Sarah Ostadabbas

Using the HOG rectification method, the pose estimation performance of CPM significantly improved by 26. 4% in PCK0. 1 criteria compared to the model without such rectification.

Pose Estimation

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