Chaoyang Wang | DeepAI

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Luc Van Gool
414 publications
Deva Ramanan
104 publications
Simon Lucey
71 publications
Rui Zhu
50 publications
Sotirios A Tsaftaris
49 publications
Sergey Tulyakov
46 publications
Oliver Wang
41 publications
Ke Liu
30 publications
Aliaksandr Siarohin
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Federico Perazzi
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Orazio Gallo
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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...

0 Francesco Dalla Serra, et al. ∙

∙ 07/07/2023

AutoDecoding Latent 3D Diffusion Models

We present a novel approach to the generation of static and articulated ...

0 Evangelos Ntavelis, et al. ∙

∙ 05/10/2023

Reconstructing Animatable Categories from Videos

Building animatable 3D models is challenging due to the need for 3D scan...

0 Gengshan Yang, et al. ∙

∙ 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...

12 Antanas Kascenas, et al. ∙

∙ 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...

0 Wanli Ma, et al. ∙

∙ 05/12/2021

Neural Trajectory Fields for Dynamic Novel View Synthesis

Recent approaches to render photorealistic views from a limited set of p...

8 Chaoyang Wang, et al. ∙

∙ 03/31/2021

PAUL: Procrustean Autoencoder for Unsupervised Lifting

Recent success in casting Non-rigid Structure from Motion (NRSfM) as an ...

0 Chaoyang Wang, et al. ∙

∙ 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...

0 Chen-Hsuan Lin, et al. ∙

∙ 10/04/2020

Heterogeneous Graph Collaborative Filtering using Textual Information

Due to the development of graph neural network models, like graph convol...

0 Chaoyang Wang, et al. ∙

∙ 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...

0 Chaoyang Wang, et al. ∙

∙ 01/27/2020

Deep NRSfM++: Towards 3D Reconstruction in the Wild

The recovery of 3D shape and pose solely from 2D landmarks stemming from...

10 Chaoyang Wang, et al. ∙

∙ 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...

10 Chaoyang Wang, et al. ∙

∙ 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...

6 Chaoyang Wang, et al. ∙

∙ 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...

0 Nathaniel Chodosh, et al. ∙

∙ 12/01/2017

Learning Depth from Monocular Videos using Direct Methods

The ability to predict depth from a single image - using recent advances...

0 Chaoyang Wang, et al. ∙

∙ 11/30/2017

Semantic Photometric Bundle Adjustment on Natural Sequences

The problem of obtaining dense reconstruction of an object in a natural ...

0 Rui Zhu, et al. ∙

∙ 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...

0 Rui Zhu, et al. ∙

∙ 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...

0 Rui Zhu, et al. ∙

∙ 05/19/2017

Deep-LK for Efficient Adaptive Object Tracking

In this paper we present a new approach for efficient regression based o...

0 Chaoyang Wang, et al. ∙

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