Xinchen Yan

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University of Michigan ∙ Uber ∙ University of Illinois at Urbana-Champaign

Featured Co-authors

Bo Li
224 publications
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Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving

Modern self-driving perception systems have been shown to improve upon p...
01/17/2021 ∙ by James Tu, et al. ∙ 2 ∙ share

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S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling

Constructing and animating humans is an important component for building...
01/17/2021 ∙ by Ze Yang, et al. ∙ 5 ∙ share

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GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition

Scalable sensor simulation is an important yet challenging open problem ...
01/16/2021 ∙ by Yun Chen, et al. ∙ 14 ∙ share

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Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting

In this paper, we address the important problem in self-driving of forec...
01/07/2021 ∙ by Katie Luo, et al. ∙ 19 ∙ share

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ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

We introduce ShapeAdv, a novel framework to study shape-aware adversaria...
05/24/2020 ∙ by Kibok Lee, et al. ∙ 5 ∙ share

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PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

3D generative shape modeling is a fundamental research area in computer ...
03/19/2020 ∙ by Kaichun Mo, et al. ∙ 6 ∙ share

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Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks

Training a deep network policy for robot manipulation is notoriously cos...
06/21/2019 ∙ by Xinchen Yan, et al. ∙ 3 ∙ share

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SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

Deep neural networks (DNNs) have achieved great success in various appli...
06/19/2019 ∙ by Haonan Qiu, et al. ∙ 7 ∙ share

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Learning Hierarchical Semantic Image Manipulation through Structured Representations

Understanding, reasoning, and manipulating semantic concepts of images h...
08/22/2018 ∙ by Seunghoon Hong, et al. ∙ 2 ∙ share

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MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

Long-term human motion can be represented as a series of motion modes---...
08/14/2018 ∙ by Xinchen Yan, et al. ∙ 2 ∙ share

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Learning 6-DOF Grasping Interaction with Deep Geometry-aware 3D Representations

This paper focuses on the problem of learning 6-DOF grasping with a para...
08/24/2017 ∙ by Xinchen Yan, et al. ∙ 0 ∙ share

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Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Understanding the 3D world is a fundamental problem in computer vision. ...
12/01/2016 ∙ by Xinchen Yan, et al. ∙ 0 ∙ share

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Generative Adversarial Text to Image Synthesis

Automatic synthesis of realistic images from text would be interesting a...
05/17/2016 ∙ by Scott Reed, et al. ∙ 0 ∙ share

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Attribute2Image: Conditional Image Generation from Visual Attributes

This paper investigates a novel problem of generating images from visual...
12/02/2015 ∙ by Xinchen Yan, et al. ∙ 0 ∙ share

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