Search Results for author: Cheng Lu

Found 10 papers, 6 papers with code

Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation

no code implementations22 Oct 2021 Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo

In this paper, we propose a new framework Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation (DTS-VIBE), to generate 3D human pose and mesh from RGB videos.

Optical Flow Estimation

Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction

1 code implementation ICCV 2021 Bo Xu, Han Huang, Cheng Lu, Ziwen Li, Yandong Guo

In this paper, we propose a Virtual Multi-modality Foreground Matting (VMFM) method to learn human-object interactive foreground (human and objects interacted with him or her) from a raw RGB image.

Human-Object Interaction Detection

Implicit Normalizing Flows

1 code implementation ICLR 2021 Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu

Through theoretical analysis, we show that the function space of ImpFlow is strictly richer than that of ResFlows.

DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild

no code implementations13 Aug 2020 Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, Jiateng Liu

Experimental results show that DFEW is a well-designed and challenging database, and the proposed EC-STFL can promisingly improve the performance of existing spatiotemporal deep neural networks in coping with the problem of dynamic FER in the wild.

Facial Expression Recognition

Discriminative Multi-modality Speech Recognition

2 code implementations CVPR 2020 Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang

Vision is often used as a complementary modality for audio speech recognition (ASR), especially in the noisy environment where performance of solo audio modality significantly deteriorates.

Audio-Visual Speech Recognition Lipreading +1

Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild

no code implementations7 Apr 2020 Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo

To better demonstrate the advantage of our methods, we further propose a new benchmark dataset with the most rich distribution of head-gaze combination reflecting real-world scenarios.

Gaze Estimation

VFlow: More Expressive Generative Flows with Variational Data Augmentation

1 code implementation ICML 2020 Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian

Generative flows are promising tractable models for density modeling that define probabilistic distributions with invertible transformations.

Ranked #20 on Image Generation on CIFAR-10 (bits/dimension metric)

Density Estimation Image Generation +2

Dually Supervised Feature Pyramid for Object Detection and Segmentation

1 code implementation8 Dec 2019 Fan Yang, Cheng Lu, Yandong Guo, Longin Jan Latecki, Haibin Ling

Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem.

Object Detection

Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling

1 code implementation NeurIPS 2019 Andrey Kolobov, Yuval Peres, Cheng Lu, Eric J. Horvitz

From traditional Web search engines to virtual assistants and Web accelerators, services that rely on online information need to continually keep track of remote content changes by explicitly requesting content updates from remote sources (e. g., web pages).

Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning

no code implementations CVPR 2017 Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman

Experimental results with a variety of document images demonstrate that our method improves the image quality compared with the observed image, and simultaneously improves the compression ratio.

Dictionary Learning Image Compression

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