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04/04/2023
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
Modeling the 3D world from sensor data for simulation is a scalable way ...
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12/06/2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
2D-to-3D reconstruction is an ill-posed problem, yet humans are good at ...
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10/14/2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
Learning-based perception and prediction modules in modern autonomous dr...
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06/15/2022
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
Panoptic image segmentation is the computer vision task of finding group...
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02/10/2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
We present Block-NeRF, a variant of Neural Radiance Fields that can repr...
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01/17/2021
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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01/17/2021
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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01/16/2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
Scalable sensor simulation is an important yet challenging open problem ...
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01/07/2021
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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05/24/2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
We introduce ShapeAdv, a novel framework to study shape-aware adversaria...
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03/19/2020
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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06/21/2019
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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06/19/2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Deep neural networks (DNNs) have achieved great success in various appli...
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08/22/2018
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Understanding, reasoning, and manipulating semantic concepts of images h...
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08/14/2018
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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08/24/2017
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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12/01/2016
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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05/17/2016
Generative Adversarial Text to Image Synthesis
Automatic synthesis of realistic images from text would be interesting a...
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12/02/2015