Matthias Niessner
53 papers · 2015–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Conference Polyglot (7) π Interdisciplinary Bridge π Academic Marathon (9) π Renaissance Researcher (7)
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Renaissance Researcher
(7)
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Cross-Pollinator
(13)
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Conference Polyglot
(7)
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Conference Loyalist
(27)
π€
Dynamic Duo
(18)
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Deep Specialist
(30)
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Keyword Champion
(3)
ποΈ
Keyword Collector
(219)
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Trend Setter
β‘
Prolific Year
(13)
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Conference Pioneer
π₯
Unstoppable
(10)
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Century Club
(53)
Conferences
CVPR (27)
NIPS (9)
ICCV (7)
ECCV (6)
ICLR (2)
AAAI (1)
WACV (1)
Top co-authors
Keywords
3d reconstruction
(13)
semantic segmentation
(7)
self-supervised learning
(7)
point cloud
(6)
rgb-d scan
(5)
convolutional neural network
(5)
instance segmentation
(4)
depth estimation
(4)
object detection
(4)
rgb-d scanning
(4)
pose estimation
(3)
3d scene understanding
(3)
surface reconstruction
(3)
non-rigid reconstruction
(3)
scene understanding
(3)
3d vision
(3)
generative model
(3)
generative neural network
(3)
feature extraction
(2)
scene reconstruction
(2)
Papers
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
ECCV 2024
Zero-Shot Detection of AI-Generated Images
ECCV 2024
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
ECCV 2024
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning
AAAI 2023
Estimating Generic 3D Room Structures from 2D Annotations
NIPS 2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
NIPS 2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
NIPS 2023
Neural Shape Deformation Priors
NIPS 2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
NIPS 2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
NIPS 2022
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction
CVPR 2021
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
NIPS 2021
Panoptic 3D Scene Reconstruction From a Single RGB Image
NIPS 2021
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans
CVPR 2021
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts
CVPR 2021
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
CVPR 2021
Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans
CVPR 2021
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
CVPR 2021
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
CVPR 2021
NRMVS: Non-Rigid Multi-view Stereo
WACV 2020
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
CVPR 2020
Adversarial Texture Optimization From RGB-D Scans
CVPR 2020
RevealNet: Seeing Behind Objects in RGB-D Scans
CVPR 2020
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation
CVPR 2020
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation
CVPR 2020
Learning to Optimize Non-Rigid Tracking
CVPR 2020
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
CVPR 2020
Local Implicit Grid Representations for 3D Scenes
CVPR 2020
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans
ECCV 2020
Neural Non-Rigid Tracking
NIPS 2020
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
CVPR 2019
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
CVPR 2019
Inverse Path Tracing for Joint Material and Lighting Estimation
CVPR 2019
DeepVoxels: Learning Persistent 3D Feature Embeddings
CVPR 2019
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation
ICLR 2019
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
CVPR 2019
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
CVPR 2019
FaceForensics++: Learning to Detect Manipulated Facial Images
ICCV 2019
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans
ICCV 2019
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments
ICCV 2019
Joint Embedding of 3D Scan and CAD Objects
ICCV 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
ICCV 2019
Spherical CNNs on Unstructured Grids
ICLR 2019
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
ECCV 2018
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
ECCV 2018
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
CVPR 2017
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions
CVPR 2017
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization With Spatially-Varying Lighting
ICCV 2017
A Lightweight Approach for On-The-Fly Reflectance Estimation
ICCV 2017
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
CVPR 2017
Volumetric and Multi-View CNNs for Object Classification on 3D Data
CVPR 2016
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
CVPR 2016
Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization
CVPR 2015