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08/24/2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Recent implicit neural representations have shown great results for nove...
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08/04/2023
Robust Self-Supervised Extrinsic Self-Calibration
Autonomous vehicles and robots need to operate over a wide variety of sc...
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06/29/2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Monocular depth estimation is scale-ambiguous, and thus requires scale s...
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05/22/2023
NeRFuser: Large-Scale Scene Representation by NeRF Fusion
A practical benefit of implicit visual representations like Neural Radia...
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04/06/2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
Differentiable volumetric rendering is a powerful paradigm for 3D recons...
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03/25/2023
Viewpoint Equivariance for Multi-View 3D Object Detection
3D object detection from visual sensors is a cornerstone capability of r...
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12/12/2022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
Compact and accurate representations of 3D shapes are central to many pe...
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11/08/2022
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking
Multi-object tracking is a cornerstone capability of any robotic system....
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10/23/2022
Photo-realistic Neural Domain Randomization
Synthetic data is a scalable alternative to manual supervision, but it r...
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07/28/2022
Depth Field Networks for Generalizable Multi-view Scene Representation
Modern 3D computer vision leverages learning to boost geometric reasonin...
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07/27/2022
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
Our method studies the complex task of object-centric 3D understanding f...
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07/22/2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Human perception reliably identifies movable and immovable parts of 3D s...
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07/12/2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
3D multi-object tracking aims to uniquely and consistently identify all ...
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06/16/2022
A Simple Baseline for BEV Perception Without LiDAR
Building 3D perception systems for autonomous vehicles that do not rely ...
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04/15/2022
Multi-Frame Self-Supervised Depth with Transformers
Multi-frame depth estimation improves over single-frame approaches by al...
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03/28/2022
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
Self-supervised monocular depth estimation enables robots to learn 3D pe...
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12/06/2021
Self-Supervised Camera Self-Calibration from Video
Camera calibration is integral to robotics and computer vision algorithm...
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09/28/2021
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
Deep learning models for semantic segmentation rely on expensive, large-...
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08/13/2021
Is Pseudo-Lidar needed for Monocular 3D Object detection?
Recent progress in 3D object detection from single images leverages mono...
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03/31/2021
Full Surround Monodepth from Multiple Cameras
Self-supervised monocular depth and ego-motion estimation is a promising...
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03/30/2021
Geometric Unsupervised Domain Adaptation for Semantic Segmentation
Simulators can efficiently generate large amounts of labeled synthetic d...
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03/30/2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
Estimating scene geometry from data obtained with cost-effective sensors...
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01/05/2021
Monocular Depth Estimation for Soft Visuotactile Sensors
Fluid-filled soft visuotactile sensors such as the Soft-bubbles alleviat...
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12/26/2020
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Multi-object tracking is an important ability for an autonomous vehicle ...
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08/29/2020
Driving Through Ghosts: Behavioral Cloning with False Positives
Safe autonomous driving requires robust detection of other traffic parti...
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08/15/2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Self-supervised learning has emerged as a powerful tool for depth and eg...
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02/27/2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Self-supervised learning is showing great promise for monocular depth es...
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12/23/2019
Neural Outlier Rejection for Self-Supervised Keypoint Learning
Identifying salient points in images is a crucial component for visual o...
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12/07/2019
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
Generating reliable illumination and viewpoint invariant keypoints is cr...
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10/04/2019
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
Dense depth estimation from a single image is a key problem in computer ...
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10/04/2019
Two Stream Networks for Self-Supervised Ego-Motion Estimation
Learning depth and camera ego-motion from raw unlabeled RGB video stream...
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05/06/2019
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
Densely estimating the depth of a scene from a single image is an ill-po...
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10/03/2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Recent techniques in self-supervised monocular depth estimation are appr...
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10/18/2017