Vincent Lepetit

research

∙ 09/12/2023

HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans

We present an automated and efficient approach for retrieving high-quali...

0 Stefan Ainetter, et al. ∙

research

∙ 07/20/2023

CNOS: A Strong Baseline for CAD-based Novel Object Segmentation

We propose a simple three-stage approach to segment unseen objects in RG...

0 Van Nguyen Nguyen, et al. ∙

research

∙ 04/23/2023

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

We propose SeedAL, a method to seed active learning for efficient annota...

0 Nermin Samet, et al. ∙

research

∙ 03/23/2023

NOPE: Novel Object Pose Estimation from a Single Image

The practicality of 3D object pose estimation remains limited for many a...

0 Van Nguyen Nguyen, et al. ∙

research

∙ 03/06/2023

MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision

We introduce a method that simultaneously learns to explore new large en...

0 Antoine Guédon, et al. ∙

research

∙ 12/22/2022

Automatically Annotating Indoor Images with CAD Models via RGB-D Scans

We present an automatic method for annotating images of indoor scenes wi...

12 Stefan Ainetter, et al. ∙

research

∙ 11/28/2022

In-Hand 3D Object Scanning from an RGB Sequence

We propose a method for in-hand 3D scanning of an unknown object from a ...

0 Shreyas Hampali, et al. ∙

research

∙ 11/14/2022

Multi-Finger Grasping Like Humans

Robots with multi-fingered grippers could perform advanced manipulation ...

0 Yuming Du, et al. ∙

research

∙ 09/21/2022

Long-Lived Accurate Keypoints in Event Streams

We present a novel end-to-end approach to keypoint detection and trackin...

0 Philippe Chiberre, et al. ∙

research

∙ 09/19/2022

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

We propose a simple, yet powerful approach for unsupervised object segme...

6 Georgy Ponimatkin, et al. ∙

research

∙ 09/15/2022

PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking

Estimating the relative pose of a new object without prior knowledge is ...

7 Van Nguyen Nguyen, et al. ∙

research

∙ 08/22/2022

SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration

Next Best View computation (NBV) is a long-standing problem in robotics,...

0 Antoine Guédon, et al. ∙

research

∙ 07/28/2022

MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud

We present MonteBoxFinder, a method that, given a noisy input point clou...

20 Michaël Ramamonjisoa, et al. ∙

research

∙ 07/07/2022

MCTS with Refinement for Proposals Selection Games in Scene Understanding

We propose a novel method applicable in many scene understanding problem...

11 Sinisa Stekovic, et al. ∙

research

∙ 07/04/2022

Back to MLP: A Simple Baseline for Human Motion Prediction

This paper tackles the problem of human motion prediction, consisting in...

0 Wen Guo, et al. ∙

research

∙ 03/31/2022

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

We present a method that can recognize new objects and estimate their 3D...

21 Van Nguyen Nguyen, et al. ∙

research

∙ 10/22/2021

1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021

In this report, we introduce our (pretty straightforard) two-step "detec...

0 Yuming Du, et al. ∙

research

∙ 10/19/2021

1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021

We describe our two-stage instance segmentation framework we use to comp...

0 Yuming Du, et al. ∙

research

∙ 07/02/2021

HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset

HO-3D is a dataset providing image sequences of various hand-object inte...

11 Shreyas Hampali, et al. ∙

research

∙ 06/17/2021

Visual Correspondence Hallucination: Towards Geometric Reasoning

Given a pair of partially overlapping source and target images and a key...

0 Hugo Germain, et al. ∙

research

∙ 06/03/2021

Single Image Depth Estimation using Wavelet Decomposition

We present a novel method for predicting accurate depths from monocular ...

19 Michaël Ramamonjisoa, et al. ∙

research

∙ 04/29/2021

HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction

We propose a robust and accurate method for estimating the 3D poses of t...

0 Shreyas Hampali, et al. ∙

research

∙ 04/25/2021

Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

The ability to localize and segment objects from unseen classes would op...

7 Yuming Du, et al. ∙

research

∙ 03/20/2021

MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans

We propose a novel method for reconstructing floor plans from noisy 3D p...

0 Sinisa Stekovic, et al. ∙

research

∙ 03/16/2021

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

Camera pose estimation in known scenes is a 3D geometry task recently ta...

19 Paul-Edouard Sarlin, et al. ∙

research

∙ 03/14/2021

Monte Carlo Scene Search for 3D Scene Understanding

We explore how a general AI algorithm can be used for 3D scene understan...

0 Shreyas Hampali, et al. ∙

research

∙ 03/12/2021

Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

Absolute camera pose estimation is usually addressed by sequentially sol...

9 Hugo Germain, et al. ∙

research

∙ 10/08/2020

3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings

We present an approach for detecting and estimating the 3D poses of obje...

0 Giorgia Pitteri, et al. ∙

research

∙ 07/17/2020

Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild

We present a novel 3D pose refinement approach based on differentiable r...

0 Alexander Grabner, et al. ∙

research

∙ 06/10/2020

Recent Advances in 3D Object and Hand Pose Estimation

3D object and hand pose estimation have huge potentials for Augmented Re...

0 Vincent Lepetit, et al. ∙

research

∙ 04/15/2020

ALCN: Adaptive Local Contrast Normalization

To make Robotics and Augmented Reality applications robust to illuminati...

0 Mahdi Rad, et al. ∙

research

∙ 04/03/2020

S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching

Establishing robust and accurate correspondences is a fundamental backbo...

0 Hugo Germain, et al. ∙

research

∙ 03/30/2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

In this work, we study how well different type of approaches generalise ...

1 Anil Armagan, et al. ∙

research

∙ 02/28/2020

Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields

Current methods for depth map prediction from monocular images tend to p...

24 Michaël Ramamonjisoa, et al. ∙

research

∙ 01/07/2020

General 3D Room Layout from a Single View by Render-and-Compare

We present a novel method to reconstruct the 3D layout of a room – walls...

3 Sinisa Stekovic, et al. ∙

research

∙ 11/20/2019

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Whole brain segmentation using deep learning (DL) is a very challenging ...

40 Pierrick Coupé, et al. ∙

research

∙ 10/27/2019

Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation

We propose a novel method to efficiently estimate the spatial layout of ...

17 Martin Hirzer, et al. ∙

research

∙ 08/30/2019

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

We propose LU-Net -- for LiDAR U-Net, a new method for the semantic segm...

24 Pierre Biasutti, et al. ∙

research

∙ 08/29/2019

CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining

We present a novel approach to the detection and 3D pose estimation of o...

11 Giorgia Pitteri, et al. ∙

research

∙ 08/20/2019

On Object Symmetries and 6D Pose Estimation from Images

Objects with symmetries are common in our daily life and in industrial c...

1 Giorgia Pitteri, et al. ∙

research

∙ 08/07/2019

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild

We present Location Field Descriptors, a novel approach for single image...

0 Alexander Grabner, et al. ∙

research

∙ 08/07/2019

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild

We present a joint 3D pose and focal length estimation approach for obje...

0 Alexander Grabner, et al. ∙

research

∙ 07/09/2019

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization

We propose a novel approach to feature point matching, suitable for robu...

1 Hugo Germain, et al. ∙

research

∙ 07/02/2019

HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation

We propose a new dataset for 3D hand+object pose estimation from color i...

4 Shreyas Hampali, et al. ∙

research

∙ 06/05/2019

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

Whole brain segmentation using deep learning (DL) is a very challenging ...

0 Pierrick Coupé, et al. ∙

research

∙ 05/21/2019

SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation

We introduce SharpNet, a method that predicts an accurate depth map for ...

3 Michaël Ramamonjisoa, et al. ∙

research

∙ 04/29/2019

Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning

We propose a simple yet effective method to learn to segment new indoor ...

26 Sinisa Stekovic, et al. ∙

research

∙ 03/27/2019

Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras

We propose a learning approach to corner detection for event-based camer...

0 Jacques Manderscheid, et al. ∙

research

∙ 03/25/2019

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

We propose an approach to estimating the 3D pose of a hand, possibly han...

6 Markus Oberweger, et al. ∙

research

∙ 12/27/2018

S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation

We show that it is possible to learn semantic segmentation from very lim...

22 Sinisa Stekovic, et al. ∙

Vincent Lepetit

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