Search Results for author: Lele Chen

Found 14 papers, 7 papers with code

Monocular 3D Object Detection via Feature Domain Adaptation

no code implementations ECCV 2020 Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu

Monocular 3D object detection is a challenging task due to unreliable depth, resulting in a distinct performance gap between monocular and LiDAR-based approaches.

Domain Adaptation Monocular 3D Object Detection +1

High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation

no code implementations CVPR 2021 Lele Chen, Chen Cao, Fernando de la Torre, Jason Saragih, Chenliang Xu, Yaser Sheikh

This paper addresses previous limitations by learning a deep learning lighting model, that in combination with a high-quality 3D face tracking algorithm, provides a method for subtle and robust facial motion transfer from a regular video to a 3D photo-realistic avatar.

Talking-head Generation with Rhythmic Head Motion

1 code implementation16 Jul 2020 Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information.

Talking Head Generation

What comprises a good talking-head video generation?: A Survey and Benchmark

1 code implementation7 May 2020 Lele Chen, Guofeng Cui, Ziyi Kou, Haitian Zheng, Chenliang Xu

In this work, we present a carefully-designed benchmark for evaluating talking-head video generation with standardized dataset pre-processing strategies.

Benchmark Computer Vision +2

TailorGAN: Making User-Defined Fashion Designs

2 code implementations17 Jan 2020 Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh, Chenliang Xu

To overcome those limitations, we propose a novel self-supervised model to synthesize garment images with disentangled attributes (e. g., collar and sleeves) without paired data.

Computer Vision

Unsupervised Pose Flow Learning for Pose Guided Synthesis

no code implementations30 Sep 2019 Haitian Zheng, Lele Chen, Chenliang Xu, Jiebo Luo

Pose guided synthesis aims to generate a new image in an arbitrary target pose while preserving the appearance details from the source image.

Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

1 code implementation CVPR 2019 Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

We devise a cascade GAN approach to generate talking face video, which is robust to different face shapes, view angles, facial characteristics, and noisy audio conditions.

Talking Face Generation

Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss

1 code implementation9 May 2019 Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

We devise a cascade GAN approach to generate talking face video, which is robust to different face shapes, view angles, facial characteristics, and noisy audio conditions.

Lip Movements Generation at a Glance

1 code implementation ECCV 2018 Lele Chen, Zhiheng Li, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

In this paper, we consider a task of such: given an arbitrary audio speech and one lip image of arbitrary target identity, generate synthesized lip movements of the target identity saying the speech.

MRI Tumor Segmentation with Densely Connected 3D CNN

5 code implementations18 Jan 2018 Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismuller, Chenliang Xu

The major difficulty of our segmentation model comes with the fact that the location, structure, and shape of gliomas vary significantly among different patients.

Tumor Segmentation

Deep Cross-Modal Audio-Visual Generation

no code implementations26 Apr 2017 Lele Chen, Sudhanshu Srivastava, Zhiyao Duan, Chenliang Xu

Being the first to explore this new problem, we compose two new datasets with pairs of images and sounds of musical performances of different instruments.

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