Search Results for author: Yuncheng Li

Found 15 papers, 3 papers with code

Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation

no code implementations30 Oct 2020 Zhengyuan Yang, Amanda Kay, Yuncheng Li, Wendi Cross, Jiebo Luo

We then evaluate the framework on a proposed URMC dataset, which consists of conversations between a standardized patient and a behavioral health professional, along with expert annotations of body language, emotions, and potential psychiatric symptoms.

Action Recognition Emotion Recognition

Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

no code implementations ICCV 2019 Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng

Existing video-based human pose estimation methods extensively apply large networks onto every frame in the video to localize body joints, which suffer high computational cost and hardly meet the low-latency requirement in realistic applications.

Pose Estimation

Weakly Supervised Body Part Segmentation with Pose based Part Priors

no code implementations30 Jul 2019 Zhengyuan Yang, Yuncheng Li, Linjie Yang, Ning Zhang, Jiebo Luo

The core idea is first converting the sparse weak labels such as keypoints to the initial estimate of body part masks, and then iteratively refine the part mask predictions.

Face Parsing Semantic Segmentation

Laplace Landmark Localization

no code implementations ICCV 2019 Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, and Sergey Tulyakov

Our method claims state-of-the-art on all of the 300W benchmarks and ranks second-to-best on the Annotated Facial Landmarks in the Wild (AFLW) dataset.

Facial Landmark Detection

3D Hand Shape and Pose Estimation from a Single RGB Image

2 code implementations CVPR 2019 Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan

This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image.

3D Hand Pose Estimation

Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences

no code implementations31 Jan 2018 Zhengyuan Yang, Yuncheng Li, Jianchao Yang, Jiebo Luo

The attention mechanism is important for skeleton based action recognition because there exist spatio-temporal key stages while the joint predictions can be inaccurate.

Action Recognition Skeleton Based Action Recognition

Improving Pairwise Ranking for Multi-label Image Classification

3 code implementations CVPR 2017 Yuncheng Li, Yale Song, Jiebo Luo

Pairwise ranking, in particular, has been successful in multi-label image classification, achieving state-of-the-art results on various benchmarks.

General Classification Learning-To-Rank +1

Learning from Noisy Labels with Distillation

no code implementations ICCV 2017 Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li

The ability of learning from noisy labels is very useful in many visual recognition tasks, as a vast amount of data with noisy labels are relatively easy to obtain.

Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites

no code implementations19 Nov 2016 Haofu Liao, Yuncheng Li, Tianran Hu, Jiebo Luo

The multi-label CNN is then used to compute the confidence scores of restaurant styles for all the images associated with a restaurant.

Multi-Label Learning

Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data

no code implementations10 Aug 2016 Yuncheng Li, Liangliang Cao, Jiang Zhu, Jiebo Luo

The core of the proposed automatic composition system is to score fashion outfit candidates based on the appearances and meta-data.

TGIF: A New Dataset and Benchmark on Animated GIF Description

1 code implementation CVPR 2016 Yuncheng Li, Yale Song, Liangliang Cao, Joel Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo

The motivation for this work is to develop a testbed for image sequence description systems, where the task is to generate natural language descriptions for animated GIFs or video clips.

Image Captioning Machine Translation +2

Using User Generated Online Photos to Estimate and Monitor Air Pollution in Major Cities

no code implementations20 Aug 2015 Yuncheng Li, Jifei Huang, Jiebo Luo

With the rapid development of economy in China over the past decade, air pollution has become an increasingly serious problem in major cities and caused grave public health concerns in China.

Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization

no code implementations NeurIPS 2015 Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu

Asynchronous parallel implementations of stochastic gradient (SG) have been broadly used in solving deep neural network and received many successes in practice recently.

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