research
∙
09/17/2023
CaSAR: Contact-aware Skeletal Action Recognition
Skeletal Action recognition from an egocentric view is important for app...
share
research
∙
09/12/2023
Learning Disentangled Avatars with Hybrid 3D Representations
Tremendous efforts have been made to learn animatable and photorealistic...
research
∙
09/06/2023
ResFields: Residual Neural Fields for Spatiotemporal Signals
Neural fields, a category of neural networks trained to represent high-f...
research
∙
08/21/2023
Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction
We tackle the problem of estimating a Manhattan frame, i.e. three orthog...
research
∙
08/10/2023
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation
Robust estimation is a crucial and still challenging task, which involve...
research
∙
08/05/2023
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
Established surgical navigation systems for pedicle screw placement have...
research
∙
08/03/2023
Quantification of Predictive Uncertainty via Inference-Time Sampling
Predictive variability due to data ambiguities has typically been addres...
research
∙
07/28/2023
AffineGlue: Joint Matching and Robust Estimation
We propose AffineGlue, a method for joint two-view feature matching and ...
research
∙
07/26/2023
Consensus-Adaptive RANSAC
RANSAC and its variants are widely used for robust estimation, however, ...
research
∙
07/19/2023
Lazy Visual Localization via Motion Averaging
Visual (re)localization is critical for various applications in computer...
research
∙
06/29/2023
The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes
Estimating camera motion in deformable scenes poses a complex and open r...
research
∙
06/23/2023
LightGlue: Local Feature Matching at Light Speed
We introduce LightGlue, a deep neural network that learns to match local...
research
∙
06/23/2023
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
We introduce the task of open-vocabulary 3D instance segmentation. Tradi...
research
∙
06/08/2023
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Semantic 2D maps are commonly used by humans and machines for navigation...
research
∙
05/05/2023
Next-generation Surgical Navigation: Multi-view Marker-less 6DoF Pose Estimation of Surgical Instruments
State-of-the-art research of traditional computer vision is increasingly...
research
∙
05/03/2023
Learning-based Relational Object Matching Across Views
Intelligent robots require object-level scene understanding to reason ab...
research
∙
04/28/2023
SGAligner : 3D Scene Alignment with Scene Graphs
Building 3D scene graphs has recently emerged as a topic in scene repres...
research
∙
04/13/2023
Tracking by 3D Model Estimation of Unknown Objects in Videos
Most model-free visual object tracking methods formulate the tracking ta...
research
∙
04/04/2023
GlueStick: Robust Image Matching by Sticking Points and Lines Together
Line segments are powerful features complementary to points. They offer ...
research
∙
03/30/2023
3D Line Mapping Revisited
In contrast to sparse keypoints, a handful of line segments can concisel...
research
∙
03/30/2023
Human from Blur: Human Pose Tracking from Blurry Images
We propose a method to estimate 3D human poses from substantially blurre...
research
∙
03/22/2023
RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
Although point cloud registration has achieved remarkable advances in ob...
research
∙
02/07/2023
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Neural implicit representations have recently become popular in simultan...
research
∙
12/22/2022
Removing Objects From Neural Radiance Fields
Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene repres...
research
∙
12/15/2022
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
Line segments are ubiquitous in our human-made world and are increasingl...
research
∙
11/28/2022
OpenScene: 3D Scene Understanding with Open Vocabularies
Traditional 3D scene understanding approaches rely on labeled 3D dataset...
research
∙
10/19/2022
LaMAR: Benchmarking Localization and Mapping for Augmented Reality
Localization and mapping is the foundational technology for augmented re...
research
∙
10/05/2022
NeuralMeshing: Differentiable Meshing of Implicit Neural Representations
The generation of triangle meshes from point clouds, i.e. meshing, is a ...
research
∙
10/04/2022
Capturing and Animation of Body and Clothing from Monocular Video
While recent work has shown progress on extracting clothed 3D human avat...
research
∙
10/02/2022
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
We present intrinsic neural radiance fields, dubbed IntrinsicNeRF, that ...
research
∙
09/27/2022
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
A distinctive representation of image patches in form of features is a k...
research
∙
09/07/2022
3D Textured Shape Recovery with Learned Geometric Priors
3D textured shape recovery from partial scans is crucial for many real-w...
research
∙
08/14/2022
Visual Localization via Few-Shot Scene Region Classification
Visual (re)localization addresses the problem of estimating the 6-DoF (D...
research
∙
07/23/2022
CompNVS: Novel View Synthesis with Scene Completion
We introduce a scalable framework for novel view synthesis from RGB-D im...
research
∙
07/16/2022
NeFSAC: Neurally Filtered Minimal Samples
Since RANSAC, a great deal of research has been devoted to improving bot...
research
∙
04/26/2022
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Temporal alignment of fine-grained human actions in videos is important ...
research
∙
02/03/2022
Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together
Spatial computing – the ability of devices to be aware of their surround...
research
∙
12/22/2021
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis
Building upon the recent progress in novel view synthesis, we propose it...
research
∙
12/14/2021
EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices
Understanding social interactions from first-person views is crucial for...
research
∙
12/09/2021
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
We present IterMVS, a new data-driven method for high-resolution multi-v...
research
∙
11/30/2021
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
3D representation and reconstruction of human bodies have been studied f...
research
∙
11/29/2021
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos
We propose a method for jointly estimating the 3D motion, 3D shape, and ...
research
∙
11/17/2021
Learning to Align Sequential Actions in the Wild
State-of-the-art methods for self-supervised sequential action alignment...
research
∙
10/26/2021
Controllable Data Augmentation Through Deep Relighting
At the heart of the success of deep learning is the quality of the data....
research
∙
10/13/2021
Non-local Recurrent Regularization Networks for Multi-view Stereo
In deep multi-view stereo networks, cost regularization is crucial to ac...
research
∙
09/21/2021
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency
For robotic interaction in an environment shared with multiple agents, a...
research
∙
09/09/2021
Reconstructing and grounding narrated instructional videos in 3D
Narrated instructional videos often show and describe manipulations of s...
research
∙
08/23/2021
Learning Motion Priors for 4D Human Body Capture in 3D Scenes
Recovering high-quality 3D human motion in complex scenes from monocular...
research
∙
08/18/2021
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Finding local features that are repeatable across multiple views is a co...
research
∙
06/16/2021