Search Results for author: Zichen Zhang

Found 10 papers, 6 papers with code

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels

no code implementations11 Feb 2021 Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner

This complicates its use in tasks like image-based medical diagnosis, where the small training datasets are usually insufficient to learn appropriate data representations.

Medical Diagnosis

Boundary-Aware Segmentation Network for Mobile and Web Applications

4 code implementations12 Jan 2021 Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jagersand, Ling Shao

In this paper, we propose a simple yet powerful Boundary-Aware Segmentation Network (BASNet), which comprises a predict-refine architecture and a hybrid loss, for highly accurate image segmentation.

Camouflaged Object Segmentation Semantic Segmentation

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation

no code implementations19 Dec 2019 Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner

We learn two groups of latent random variables, where one group corresponds to variables that only cause selection bias, and the other group is relevant for outcome prediction.

Selection bias

2017 Robotic Instrument Segmentation Challenge

3 code implementations18 Feb 2019 Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand the strengths and limitations of different algorithms via performance comparison.

Person Re-Identification Translation

Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach

1 code implementation29 Sep 2018 Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jagersand

Our proposed method can directly learn from raw videos, which removes the need for hand-engineered task specification.


End-to-end detection-segmentation network with ROI convolution

1 code implementation8 Jan 2018 Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jagersand, Jacob L. Jaremko

We propose an end-to-end neural network that improves the segmentation accuracy of fully convolutional networks by incorporating a localization unit.

Object Localization

Incremental 3D Line Segment Extraction from Semi-dense SLAM

1 code implementation10 Aug 2017 Shida He, Xuebin Qin, Zichen Zhang, Martin Jagersand

This approach reduces a 3D line segment fitting problem into two 2D line segment fitting problems and takes advantage of both images and depth maps.

Simultaneous Localization and Mapping

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