Search Results for author: Wei-Chih Hung

Found 18 papers, 12 papers with code

Semi-supervised Multi-task Learning for Semantics and Depth

no code implementations14 Oct 2021 Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang

Multi-Task Learning (MTL) aims to enhance the model generalization by sharing representations between related tasks for better performance.

Depth Estimation Multi-Task Learning +1

Discovering 3D Parts from Image Collections

no code implementations ICCV 2021 Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang

Reasoning 3D shapes from 2D images is an essential yet challenging task, especially when only single-view images are at our disposal.

Incremental False Negative Detection for Contrastive Learning

no code implementations7 Jun 2021 Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang

Self-supervised learning has recently shown great potential in vision tasks through contrastive learning which aims to discriminate each image, or instance, in the dataset.

Contrastive Learning Self-Supervised Learning

Learning to Caricature via Semantic Shape Transform

1 code implementation12 Aug 2020 Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang

Caricature is an artistic drawing created to abstract or exaggerate facial features of a person.

Caricature

From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks

1 code implementation CVPR 2020 K L Navaneet, Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu

We learn both 3D point cloud reconstruction and pose estimation networks in a self-supervised manner, making use of differentiable point cloud renderer to train with 2D supervision.

3D Object Reconstruction From A Single Image 3D Point Cloud Reconstruction +1

Weakly-supervised Caricature Face Parsing through Domain Adaptation

1 code implementation13 May 2019 Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang

However, current state-of-the-art face parsing methods require large amounts of labeled data on the pixel-level and such process for caricature is tedious and labor-intensive.

Caricature Domain Adaptation +2

SCOPS: Self-Supervised Co-Part Segmentation

1 code implementation CVPR 2019 Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz

Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations.

Learning to Blend Photos

1 code implementation ECCV 2018 Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang

Specifically, given a foreground image and a background image, our proposed method automatically generates a set of blending photos with scores that indicate the aesthetics quality with the proposed quality network and policy network.

Scene Parsing with Global Context Embedding

1 code implementation ICCV 2017 Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang

We present a scene parsing method that utilizes global context information based on both the parametric and non- parametric models.

Scene Parsing

Learning to Segment Instances in Videos with Spatial Propagation Network

no code implementations14 Sep 2017 Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang

In addition, we apply a filter on the refined score map that aims to recognize the best connected region using spatial and temporal consistencies in the video.

Semantic Segmentation

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