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08/30/2023
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
The task of radiology reporting comprises describing and interpreting th...
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07/07/2023
AutoDecoding Latent 3D Diffusion Models
We present a novel approach to the generation of static and articulated ...
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05/10/2023
Reconstructing Animatable Categories from Videos
Building animatable 3D models is challenging due to the need for 3D scan...
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01/19/2023
The role of noise in denoising models for anomaly detection in medical images
Pathological brain lesions exhibit diverse appearance in brain images, i...
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03/18/2022
Reinforcement Learning Approach to Clear Paths of Robots in Elevator Environment
Efficiently using the space of an elevator for a service robot is very n...
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05/12/2021
Neural Trajectory Fields for Dynamic Novel View Synthesis
Recent approaches to render photorealistic views from a limited set of p...
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03/31/2021
PAUL: Procrustean Autoencoder for Unsupervised Lifting
Recent success in casting Non-rigid Structure from Motion (NRSfM) as an ...
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10/20/2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Dense 3D object reconstruction from a single image has recently witnesse...
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10/04/2020
Heterogeneous Graph Collaborative Filtering using Textual Information
Due to the development of graph neural network models, like graph convol...
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04/14/2020
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
Due to its nature of learning from dynamic interactions and planning for...
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01/27/2020
Deep NRSfM++: Towards 3D Reconstruction in the Wild
The recovery of 3D shape and pose solely from 2D landmarks stemming from...
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08/18/2019
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
We propose to learn a 3D pose estimator by distilling knowledge from Non...
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04/25/2019
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
We present a fully data-driven method to compute depth from diverse mono...
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03/23/2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
In this paper we consider the problem of estimating a dense depth map fr...
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12/01/2017
Learning Depth from Monocular Videos using Direct Methods
The ability to predict depth from a single image - using recent advances...
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11/30/2017
Semantic Photometric Bundle Adjustment on Natural Sequences
The problem of obtaining dense reconstruction of an object in a natural ...
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11/04/2017
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Reconstructing 3D shapes from a sequence of images has long been a probl...
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07/15/2017
Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image
An emerging problem in computer vision is the reconstruction of 3D shape...
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05/19/2017
