Mathieu Salzmann

research

∙ 09/20/2023

Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation

As 3D human pose estimation can now be achieved with very high accuracy ...

0 Krishna Kanth Nakka, et al. ∙

research

∙ 09/20/2023

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

In the current deep learning paradigm, the amount and quality of trainin...

0 Zheng Dang, et al. ∙

research

∙ 08/23/2023

Vision Transformer Adapters for Generalizable Multitask Learning

We introduce the first multitasking vision transformer adapters that lea...

0 Deblina Bhattacharjee, et al. ∙

research

∙ 07/16/2023

Dense Multitask Learning to Reconfigure Comics

In this paper, we develop a MultiTask Learning (MTL) model to achieve de...

0 Deblina Bhattacharjee, et al. ∙

research

∙ 04/20/2023

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

We introduce a new task, novel view synthesis for LiDAR sensors. While t...

0 Tang Tao, et al. ∙

research

∙ 04/04/2023

Robust Outlier Rejection for 3D Registration with Variational Bayes

Learning-based outlier (mismatched correspondence) rejection for robust ...

0 Haobo Jiang, 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

∙ 03/22/2023

Rigidity-Aware Detection for 6D Object Pose Estimation

Most recent 6D object pose estimation methods first use object detection...

0 Yang Hai, et al. ∙

research

∙ 03/21/2023

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

Most modern image-based 6D object pose estimation methods learn to predi...

0 Fulin Liu, et al. ∙

research

∙ 03/16/2023

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

3D single object tracking (SOT) is an indispensable part of automated dr...

0 Qiao Wu, et al. ∙

research

∙ 03/12/2023

Module-Wise Network Quantization for 6D Object Pose Estimation

Many edge applications, such as collaborative robotics and spacecraft re...

0 Saqib Javed, et al. ∙

research

∙ 01/13/2023

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Single Domain Generalization (SDG) tackles the problem of training a mod...

0 Vidit Vidit, et al. ∙

research

∙ 01/13/2023

Learning Transformations To Reduce the Geometric Shift in Object Detection

The performance of modern object detectors drops when the test distribut...

0 Vidit Vidit, et al. ∙

research

∙ 12/29/2022

AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers

Vision transformers have emerged as powerful tools for many computer vis...

0 Krzysztof Lis, et al. ∙

research

∙ 11/29/2022

Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation

We present a new method which provides object location priors for previo...

0 Chen Zhao, et al. ∙

research

∙ 11/21/2022

DrapeNet: Generating Garments and Draping them with Self-Supervision

Recent approaches to drape garments quickly over arbitrary human bodies ...

0 Luca De Luigi, et al. ∙

research

∙ 10/08/2022

Contact-aware Human Motion Forecasting

In this paper, we tackle the task of scene-aware 3D human motion forecas...

0 Wei Mao, et al. ∙

research

∙ 10/04/2022

Perspective Aware Road Obstacle Detection

While road obstacle detection techniques have become increasingly effect...

0 Krzysztof Lis, et al. ∙

research

∙ 08/05/2022

3D Pose Based Feedback for Physical Exercises

Unsupervised self-rehabilitation exercises and physical training can cau...

0 Ziyi Zhao, et al. ∙

research

∙ 06/06/2022

Fast Adversarial Training with Adaptive Step Size

While adversarial training and its variants have shown to be the most ef...

5 Zhichao Huang, et al. ∙

research

∙ 05/31/2022

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

We introduce the task of action-driven stochastic human motion predictio...

0 Wei Mao, et al. ∙

research

∙ 05/30/2022

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment

Knowledge distillation facilitates the training of a compact student net...

0 Shuxuan 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

∙ 03/29/2022

Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World

In this work, we tackle the task of estimating the 6D pose of an object ...

0 Zheng Dang, et al. ∙

research

∙ 03/18/2022

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation

Most recent 6D object pose estimation methods, including unsupervised on...

0 Yinlin Hu, et al. ∙

research

∙ 03/16/2022

Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects

In this paper, we tackle the task of estimating the 3D orientation of pr...

7 Chen Zhao, et al. ∙

research

∙ 02/03/2022

Robust Binary Models by Pruning Randomly-initialized Networks

We propose ways to obtain robust models against adversarial attacks from...

8 Chen Liu, et al. ∙

research

∙ 12/08/2021

Adversarial Parametric Pose Prior

The Skinned Multi-Person Linear (SMPL) model can represent a human body ...

0 Andrey Davydov, et al. ∙

research

∙ 12/01/2021

Dyadic Human Motion Prediction

Prior work on human motion forecasting has mostly focused on predicting ...

0 Isinsu Katircioglu, et al. ∙

research

∙ 11/19/2021

What Stops Learning-based 3D Registration from Working in the Real World?

Much progress has been made on the task of learning-based 3D point cloud...

0 Zheng Dang, et al. ∙

research

∙ 11/12/2021

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases

We propose a method for unsupervised reconstruction of a temporally-cons...

9 Jan Bednařík, et al. ∙

research

∙ 10/07/2021

Estimating Image Depth in the Comics Domain

Estimating the depth of comics images is challenging as such images a) a...

0 Deblina Bhattacharjee, et al. ∙

research

∙ 10/04/2021

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Weight sharing promises to make neural architecture search (NAS) tractab...

0 Kaicheng Yu, et al. ∙

research

∙ 08/19/2021

Generating Smooth Pose Sequences for Diverse Human Motion Prediction

Recent progress in stochastic motion prediction, i.e., predicting multip...

0 Wei Mao, et al. ∙

research

∙ 06/17/2021

Multi-level Motion Attention for Human Motion Prediction

Human motion prediction aims to forecast future human poses given a hist...

0 Wei Mao, et al. ∙

research

∙ 06/14/2021

Attention-based Domain Adaptation for Single Stage Detectors

While domain adaptation has been used to improve the performance of obje...

0 Vidit, et al. ∙

research

∙ 06/09/2021

Distilling Image Classifiers in Object Detectors

Knowledge distillation constitutes a simple yet effective way to improve...

0 Shuxuan Guo, et al. ∙

research

∙ 05/30/2021

DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows

Despite much recent work, detecting out-of-distribution (OOD) inputs and...

1 Samuel von Baußnern, et al. ∙

research

∙ 04/30/2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

State-of-the-art semantic or instance segmentation deep neural networks ...

17 Robin Chan, et al. ∙

research

∙ 04/14/2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases

We propose a method for the unsupervised reconstruction of a temporally-...

0 Jan Bednařík, et al. ∙

research

∙ 04/12/2021

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Weight sharing has become a de facto standard in neural architecture sea...

0 Kaicheng Yu, et al. ∙

research

∙ 04/08/2021

Robust Differentiable SVD

Eigendecomposition of symmetric matrices is at the heart of many compute...

0 Wei Wang, et al. ∙

research

∙ 04/01/2021

Wide-Depth-Range 6D Object Pose Estimation in Space

6D pose estimation in space poses unique challenges that are not commonl...

0 Yinlin Hu, et al. ∙

research

∙ 12/30/2020

Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers

In recent years, the trackers based on Siamese networks have emerged as ...

7 Krishna Kanth Nakka, et al. ∙

research

∙ 12/25/2020

Detecting Road Obstacles by Erasing Them

Vehicles can encounter a myriad of obstacles on the road, and it is not ...

13 Krzysztof Lis, et al. ∙

research

∙ 12/21/2020

Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction

Deep learning-solutions for hand-object 3D pose and shape estimation are...

11 Mengshi Qi, et al. ∙

research

∙ 12/09/2020

Self-supervised Human Detection and Segmentation via Multi-view Consensus

Self-supervised detection and segmentation of foreground objects in comp...

0 Isinsu Katircioglu, et al. ∙

research

∙ 12/08/2020

Long Term Motion Prediction Using Keyposes

Long term human motion prediction is an essential component in safety-cr...

0 Sena Kiciroglu, et al. ∙

research

∙ 12/03/2020

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

Despite the recent advances in multiple object tracking (MOT), achieved ...

0 Fatemeh Saleh, et al. ∙

research

∙ 12/02/2020

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation

In this paper, we introduce an unsupervised feature extraction method th...

3 Sina Honari, et al. ∙

Mathieu Salzmann

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