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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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10/23/2022
Photo-realistic Neural Domain Randomization
Synthetic data is a scalable alternative to manual supervision, but it r...
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10/05/2022
Depth Is All You Need for Monocular 3D Detection
A key contributor to recent progress in 3D detection from single images ...
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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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07/12/2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
3D multi-object tracking aims to uniquely and consistently identify all ...
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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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10/13/2021
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
We introduce a framework for multi-camera 3D object detection. In contra...
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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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04/29/2021
MarioNette: Self-Supervised Sprite Learning
Visual content often contains recurring elements. Text is made up of gly...
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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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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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12/04/2019
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment
This paper addresses the problem of learning instantaneous occupancy lev...
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12/03/2019
Real-Time Panoptic Segmentation from Dense Detections
Panoptic segmentation is a complex full scene parsing task requiring sim...
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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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09/24/2018
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps
This paper addresses the problem of single image depth estimation (SIDE)...
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02/17/2018
Learning to Race through Coordinate Descent Bayesian Optimisation
In the automation of many kinds of processes, the observable outcome can...
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09/07/2017