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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...
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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...
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GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition
Scalable sensor simulation is an important yet challenging open problem ...
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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...
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ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
We introduce ShapeAdv, a novel framework to study shape-aware adversaria...
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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 ...
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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...
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SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Deep neural networks (DNNs) have achieved great success in various appli...
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Learning Hierarchical Semantic Image Manipulation through Structured Representations
Understanding, reasoning, and manipulating semantic concepts of images h...
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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---...
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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...
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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. ...
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Generative Adversarial Text to Image Synthesis
Automatic synthesis of realistic images from text would be interesting a...
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Attribute2Image: Conditional Image Generation from Visual Attributes
This paper investigates a novel problem of generating images from visual...
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