14.06.2024
MCML at CVPR 2024
17 Accepted Papers (13 Main, and 4 Workshops)
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun 17-21, 2024
We are happy to announce that MCML researchers have contributed a total of 17 papers to CVPR 2024: 13 Main, and 4 Workshop papers. Congrats to our researchers!
Main Track (13 papers)
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Partial-to-Partial Shape Matching with Geometric Consistency.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub
SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Text2Loc: 3D Point Cloud Localization from Natural Language.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub
Workshops (4 papers)
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. URL
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Deep Video Codec Control for Vision Models.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
A Perspective on Deep Vision Performance with Standard Image and Video Codecs.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Related
05.02.2026
Needle in a Haystack: Finding Exact Moments in Long Videos
ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.
04.02.2026
Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”
Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.
©Florian Generotzky / LMU
30.01.2026
Cracks in the Foundations of Cosmology
Daniel Grün examines cosmological tensions that challenge the Standard Model and may point toward new physics.
29.01.2026
How Machines Can Discover Hidden Rules Without Supervision
ICLR 2025 research shows how self-supervised learning uncovers hidden system dynamics from unlabeled, high-dimensional data.