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Detecting Road Obstacles by Erasing Them
Vehicles can encounter a myriad of obstacles on the road, and it is not ...
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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...
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Masksembles for Uncertainty Estimation
Deep neural networks have amply demonstrated their prowess but estimatin...
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Self-supervised Human Detection and Segmentation via Multi-view Consensus
Self-supervised detection and segmentation of foreground objects in comp...
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Long Term Motion Prediction Using Keyposes
Long term human motion prediction is an essential component in safety-cr...
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Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation
In this paper, we introduce an unsupervised feature extraction method th...
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Counting People by Estimating People Flows
Modern methods for counting people in crowded scenes rely on deep networ...
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PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
Local processing is an essential feature of CNNs and other neural networ...
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A Closed-Form Solution to Local Non-Rigid Structure-from-Motion
A recent trend in Non-Rigid Structure-from-Motion (NRSfM) is to express ...
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Deep Active Surface Models
Active Surface Models have a long history of being useful to model compl...
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Self-supervised Segmentation via Background Inpainting
While supervised object detection and segmentation methods achieve impre...
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Better Patch Stitching for Parametric Surface Reconstruction
Recently, parametric mappings have emerged as highly effective surface r...
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Motion Prediction Using Temporal Inception Module
Human motion prediction is a necessary component for many applications i...
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Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
We propose a novel, connectivity-oriented loss function for training dee...
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GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
In this paper, we tackle the problem of static 3D cloth draping on virtu...
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TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
Most state-of-the-art approaches to road extraction from aerial images r...
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DISK: Learning local features with policy gradient
Local feature frameworks are difficult to learn in an end-to-end fashion...
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MeshSDF: Differentiable Iso-Surface Extraction
Geometric Deep Learning has recently made striking progress with the adv...
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UCLID-Net: Single View Reconstruction in Object Space
Most state-of-the-art deep geometric learning single-view reconstruction...
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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Many classical Computer Vision problems, such as essential matrix comput...
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Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation
We present a lightweight solution to recover 3D pose from multi-view ima...
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Real-Time Camera Pose Estimation for Sports Fields
Given an image sequence featuring a portion of a sports field filmed by ...
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Image Matching across Wide Baselines: From Paper to Practice
We introduce a comprehensive benchmark for local features and robust est...
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Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Our goal is to capture the pose of neuroscience model organisms, without...
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Comparing Python, Go, and C++ on the N-Queens Problem
Python currently is the dominant language in the field of Machine Learni...
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ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
The accuracy of monocular 3D human pose estimation depends on the viewpo...
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VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data
CNN-based volumetric methods that label individual voxels now dominate t...
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Towards Reliable Evaluation of Road Network Reconstructions
Existing performance measures rank delineation algorithms inconsistently...
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Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
State-of-the-art methods for counting people in crowded scenes rely on d...
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Shape Reconstruction by Learning Differentiable Surface Representations
Generative models that produce point clouds have emerged as a powerful t...
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Estimating People Flows to Better Count them in Crowded Scenes
State-of-the-art methods for counting people in crowded scenes rely on d...
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Single-Stage 6D Object Pose Estimation
Most recent 6D pose estimation frameworks first rely on a deep network t...
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Probabilistic Atlases to Enforce Topological Constraints
Probabilistic atlases (PAs) have long been used in standard segmentation...
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Gravity as a Reference for Estimating a Person's Height from Video
Estimating the metric height of a person from monocular imagery without ...
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Motion Capture from Pan-Tilt Cameras with Unknown Orientation
In sports, such as alpine skiing, coaches would like to know the speed a...
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Beyond Cartesian Representations for Local Descriptors
The dominant approach for learning local patch descriptors relies on sma...
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Self-supervised Training of Proposal-based Segmentation via Background Prediction
While supervised object detection methods achieve impressive accuracy, t...
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XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
We present a real-time approach for multi-person 3D motion capture at ov...
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Backpropagation-Friendly Eigendecomposition
Eigendecomposition (ED) is widely used in deep networks. However, the ba...
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Recurrent U-Net for Resource-Constrained Segmentation
State-of-the-art segmentation methods rely on very deep networks that ar...
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Joint Segmentation and Path Classification of Curvilinear Structures
Detection of curvilinear structures in images has long been of interest....
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Detecting the Unexpected via Image Resynthesis
Classical semantic segmentation methods, including the recent deep learn...
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Neural Scene Decomposition for Multi-Person Motion Capture
Learning general image representations has proven key to the success of ...
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NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
Most algorithms that rely on deep learning-based approaches to generate ...
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Segmentation-driven 6D Object Pose Estimation
The most recent trend in estimating the 6D pose of rigid objects has bee...
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Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking
Identity Switching remains one of the main difficulties Multiple Object ...
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GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping
While Physics-Based Simulation (PBS) can highly accurately drape a 3D ga...
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Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation
As mixed reality is gaining increased momentum, the development of effec...
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Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation
The difficulty of obtaining annotations to build training databases stil...
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Context-Aware Crowd Counting
State-of-the-art methods for counting people in crowded scenes rely on d...
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