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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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03/27/2023
Object Discovery from Motion-Guided Tokens
Object discovery – separating objects from the background without manual...
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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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01/27/2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
Learning-based control approaches have shown great promise in performing...
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12/12/2022
Breaking the "Object" in Video Object Segmentation
The appearance of an object can be fleeting when it transforms. As eggs ...
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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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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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10/04/2022
RAP: Risk-Aware Prediction for Robust Planning
Robust planning in interactive scenarios requires predicting the uncerta...
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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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04/28/2022
Control-Aware Prediction Objectives for Autonomous Driving
Autonomous vehicle software is typically structured as a modular pipelin...
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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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04/04/2022
Object Permanence Emerges in a Random Walk along Memory
This paper proposes a self-supervised objective for learning representat...
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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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03/18/2022
Discovering Objects that Can Move
This paper studies the problem of object discovery – separating objects ...
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01/25/2022
Dynamics-Aware Comparison of Learned Reward Functions
The ability to learn reward functions plays an important role in enablin...
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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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10/11/2021
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised learning (SSL) is a scalable way to learn general visual...
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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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06/08/2021
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
Panoptic segmentation brings together two separate tasks: instance and s...
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06/08/2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Recent works in self-supervised learning have advanced the state-of-the-...
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04/26/2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Reasoning about the future behavior of other agents is critical to safe ...
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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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03/29/2021
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
The NeurIPS 2020 Procgen Competition was designed as a centralized bench...
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03/26/2021
Learning to Track with Object Permanence
Tracking by detection, the dominant approach for online multi-object tra...
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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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11/24/2020
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
Automated Vehicles require exhaustive testing in simulation to detect as...
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11/11/2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Traffic simulators are important tools in autonomous driving development...
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10/16/2020
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
Successful robotic operation in stochastic environments relies on accura...
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09/30/2020
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
3D object detection from monocular images is an ill-posed problem due to...
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09/16/2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Reasoning about human motion is a core component of modern human-robot i...
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09/12/2020
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
This paper presents a novel online framework for safe crowd-robot intera...
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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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08/03/2020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
In autonomous driving, accurately estimating the state of surrounding ob...
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07/01/2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Autonomous driving has achieved significant progress in recent years, bu...
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06/29/2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Real-world large-scale datasets are heteroskedastic and imbalanced – lab...
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06/22/2020
Differentiable Rendering: A Survey
Deep neural networks (DNNs) have shown remarkable performance improvemen...
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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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12/07/2019
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
Generating reliable illumination and viewpoint invariant keypoints is cr...
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12/03/2019