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08/22/2023
ReFit: Recurrent Fitting Network for 3D Human Recovery
We present Recurrent Fitting (ReFit), a neural network architecture for ...
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06/07/2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Aerial operation in turbulent environments is a challenging problem due ...
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05/25/2023
NAP: Neural 3D Articulation Prior
We propose Neural 3D Articulation Prior (NAP), the first 3D deep generat...
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05/25/2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Equivariance has gained strong interest as a desirable network property ...
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04/14/2023
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Event-based sensors have recently drawn increasing interest in robotic p...
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04/11/2023
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls
3D reconstruction from multiple views is a successful computer vision fi...
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03/27/2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
We introduce Equivariant Neural Field Expectation Maximization (EFEM), a...
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12/30/2022
SE(3)-Equivariant Reconstruction from Light Field
Recent progress in geometric computer vision has shown significant advan...
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12/06/2022
Probabilistic Shape Completion by Estimating Canonical Factors with Hierarchical VAE
We propose a novel method for 3D shape completion from a partial observa...
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12/01/2022
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary
The ability to capture detailed interactions among individuals in a soci...
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06/16/2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
We introduce a unified framework for group equivariant networks on homog...
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04/12/2022
Semantic keypoint-based pose estimation from single RGB frames
This paper presents an approach to estimating the continuous 6-DoF pose ...
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04/05/2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space
We propose the first SE(3)-equivariant coordinate-based network for lear...
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03/30/2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
While neural representations for static 3D shapes are widely studied, re...
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03/10/2022
Cross-modal Map Learning for Vision and Language Navigation
We consider the problem of Vision-and-Language Navigation (VLN). The maj...
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02/24/2022
Uncertainty-driven Planner for Exploration and Navigation
We consider the problems of exploration and point-goal navigation in pre...
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11/16/2021
Learning Augmentation Distributions using Transformed Risk Minimization
Adapting to the structure of data distributions (such as symmetry and tr...
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10/18/2021
Discovering and Achieving Goals via World Models
How can artificial agents learn to solve many diverse tasks in complex v...
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09/27/2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Robot learning holds the promise of learning policies that generalize br...
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09/06/2021
Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications
We address the problem of estimating the shape of a person's head, defin...
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08/26/2021
Probabilistic Modeling for Human Mesh Recovery
This paper focuses on the problem of 3D human reconstruction from 2D evi...
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06/29/2021
Learning to Map for Active Semantic Goal Navigation
We consider the problem of object goal navigation in unseen environments...
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06/24/2021
Model-Based Reinforcement Learning via Latent-Space Collocation
The ability to plan into the future while utilizing only raw high-dimens...
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05/19/2021
Birds of a Feather: Capturing Avian Shape Models from Images
Animals are diverse in shape, but building a deformable shape model for ...
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05/06/2021
Object-centric Video Prediction without Annotation
In order to interact with the world, agents must be able to predict the ...
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03/26/2021
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
We propose a framework for deformable linear object prediction. Predicti...
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12/08/2020
Learning Portrait Style Representations
Style analysis of artwork in computer vision predominantly focuses on ac...
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12/05/2020
Joint Estimation of Image Representations and their Lie Invariants
Images encode both the state of the world and its content. The former is...
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11/12/2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Reinforcement learning is a powerful framework for robots to acquire ski...
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08/13/2020
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Automated capture of animal pose is transforming how we study neuroscien...
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07/06/2020
TLIO: Tight Learned Inertial Odometry
In this work we propose a tightly-coupled Extended Kalman Filter framewo...
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06/23/2020
Simple and Effective VAE Training with Calibrated Decoders
Variational autoencoders (VAEs) provide an effective and simple method f...
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06/18/2020
Spin-Weighted Spherical CNNs
Learning equivariant representations is a promising way to reduce sample...
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06/15/2020
Coherent Reconstruction of Multiple Humans from a Single Image
In this work, we address the problem of multi-person 3D pose estimation ...
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05/12/2020
Planning to Explore via Self-Supervised World Models
Reinforcement learning allows solving complex tasks, however, the learni...
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03/14/2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Event-based cameras display great potential for a variety of conditions ...
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03/13/2020
Action for Better Prediction
Good prediction is necessary for autonomous robotics to make informed de...
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02/25/2020
Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback
This paper presents a reactive planning system that enriches the topolog...
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02/20/2020
Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback
This paper solves the planar navigation problem by recourse to an online...
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12/30/2019
Learning Predictive Models From Observation and Interaction
Learning predictive models from interaction with the world allows an age...
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12/03/2019
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
Event cameras provide a number of benefits over traditional cameras, suc...
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10/24/2019
TexturePose: Supervising Human Mesh Estimation with Texture Consistency
This work addresses the problem of model-based human pose estimation. Re...
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10/01/2019
TagSLAM: Robust SLAM with Fiducial Markers
TagSLAM provides a convenient, flexible, and robust way of performing Si...
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09/27/2019
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Model-based human pose estimation is currently approached through two di...
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05/08/2019
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
This paper addresses the problem of 3D human pose and shape estimation f...
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04/17/2019
Event-based Vision: A Survey
Event cameras are bio-inspired sensors that work radically different fro...
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04/11/2019
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
Real-world image sequences can often be naturally decomposed into a smal...
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04/01/2019
Equivariant Multi-View Networks
Several approaches to 3D vision tasks process multiple views of the inpu...
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02/18/2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
In this work, we propose a novel transformation for events from an event...
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01/07/2019