Search Results for author: Yu-jia Zhang

Found 12 papers, 1 papers with code

A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition

no code implementations29 Sep 2020 Jinting Wu, Yu-jia Zhang, Xiaoguang Zhao

Hand gesture recognition plays a significant role in human-computer interaction for understanding various human gestures and their intent.

Generalized Zero-Shot Learning Hand Gesture Recognition +1

"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

no code implementations29 Apr 2019 Yu-jia Zhang, Kuangyan Song, Yiming Sun, Sarah Tan, Madeleine Udell

Methods for interpreting machine learning black-box models increase the outcomes' transparency and in turn generates insight into the reliability and fairness of the algorithms.

Fairness General Classification +2

Dilated Temporal Relational Adversarial Network for Generic Video Summarization

no code implementations30 Apr 2018 Yu-jia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Specifically, DTR-GAN learns a dilated temporal relational generator and a discriminator with three-player loss in an adversarial manner.

Generative Adversarial Network Video Summarization +1

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation

no code implementations20 Apr 2018 Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yu-jia Zhang, Eric P. Xing

We argue that semantic salient segmentation can instead be effectively resolved by reformulating it as a simple yet intuitive pixel-pair based connectivity prediction task.

Relation Segmentation +1

Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder

no code implementations2 Jan 2018 Yu-jia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day, and the underlying fine-grained semantic and motion information (i. e., objects of interest and their key motions) in online videos has been barely touched.

Object Unsupervised Video Summarization

Recognition of convolutional neural network based on CUDA Technology

no code implementations30 May 2015 Yi-bin Huang, Kang Li, Ge Wang, Min Cao, Pin Li, Yu-jia Zhang

For the problem whether Graphic Processing Unit(GPU), the stream processor with high performance of floating-point computing is applicable to neural networks, this paper proposes the parallel recognition algorithm of Convolutional Neural Networks(CNNs). It adopts Compute Unified Device Architecture(CUDA)technology, definite the parallel data structures, and describes the mapping mechanism for computing tasks on CUDA.

Cannot find the paper you are looking for? You can Submit a new open access paper.