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 ...
share
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...
research
∙
08/23/2023
Vision Transformer Adapters for Generalizable Multitask Learning
We introduce the first multitasking vision transformer adapters that lea...
research
∙
07/16/2023
Dense Multitask Learning to Reconfigure Comics
In this paper, we develop a MultiTask Learning (MTL) model to achieve de...
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...
research
∙
04/04/2023
Robust Outlier Rejection for 3D Registration with Variational Bayes
Learning-based outlier (mismatched correspondence) rejection for robust ...
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...
research
∙
03/22/2023
Rigidity-Aware Detection for 6D Object Pose Estimation
Most recent 6D object pose estimation methods first use object detection...
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...
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...
research
∙
03/12/2023
Module-Wise Network Quantization for 6D Object Pose Estimation
Many edge applications, such as collaborative robotics and spacecraft re...
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...
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...
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...
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...
research
∙
11/21/2022
DrapeNet: Generating Garments and Draping them with Self-Supervision
Recent approaches to drape garments quickly over arbitrary human bodies ...
research
∙
10/08/2022
Contact-aware Human Motion Forecasting
In this paper, we tackle the task of scene-aware 3D human motion forecas...
research
∙
10/04/2022
Perspective Aware Road Obstacle Detection
While road obstacle detection techniques have become increasingly effect...
research
∙
08/05/2022
3D Pose Based Feedback for Physical Exercises
Unsupervised self-rehabilitation exercises and physical training can cau...
research
∙
06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
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...
research
∙
05/30/2022
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment
Knowledge distillation facilitates the training of a compact student net...
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...
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 ...
research
∙
03/18/2022
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
Most recent 6D object pose estimation methods, including unsupervised on...
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...
research
∙
02/03/2022
Robust Binary Models by Pruning Randomly-initialized Networks
We propose ways to obtain robust models against adversarial attacks from...
research
∙
12/08/2021
Adversarial Parametric Pose Prior
The Skinned Multi-Person Linear (SMPL) model can represent a human body ...
research
∙
12/01/2021
Dyadic Human Motion Prediction
Prior work on human motion forecasting has mostly focused on predicting ...
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...
research
∙
11/12/2021
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
We propose a method for unsupervised reconstruction of a temporally-cons...
research
∙
10/07/2021
Estimating Image Depth in the Comics Domain
Estimating the depth of comics images is challenging as such images a) a...
research
∙
10/04/2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractab...
research
∙
08/19/2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Recent progress in stochastic motion prediction, i.e., predicting multip...
research
∙
06/17/2021
Multi-level Motion Attention for Human Motion Prediction
Human motion prediction aims to forecast future human poses given a hist...
research
∙
06/14/2021
Attention-based Domain Adaptation for Single Stage Detectors
While domain adaptation has been used to improve the performance of obje...
research
∙
06/09/2021
Distilling Image Classifiers in Object Detectors
Knowledge distillation constitutes a simple yet effective way to improve...
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...
research
∙
04/30/2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
State-of-the-art semantic or instance segmentation deep neural networks ...
research
∙
04/14/2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
We propose a method for the unsupervised reconstruction of a temporally-...
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...
research
∙
04/08/2021
Robust Differentiable SVD
Eigendecomposition of symmetric matrices is at the heart of many compute...
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...
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 ...
research
∙
12/25/2020
Detecting Road Obstacles by Erasing Them
Vehicles can encounter a myriad of obstacles on the road, and it is not ...
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...
research
∙
12/09/2020
Self-supervised Human Detection and Segmentation via Multi-view Consensus
Self-supervised detection and segmentation of foreground objects in comp...
research
∙
12/08/2020
Long Term Motion Prediction Using Keyposes
Long term human motion prediction is an essential component in safety-cr...
research
∙
12/03/2020
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
Despite the recent advances in multiple object tracking (MOT), achieved ...
research
∙
12/02/2020
