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Found 7 papers, 4 papers with code
OCTO+: A Suite for Automatic Open-Vocabulary Object Placement in Mixed Reality
We also introduce a benchmark for automatically evaluating the placement of virtual objects in augmented reality, alleviating the need for costly user studies.
OCTOPUS: Open-vocabulary Content Tracking and Object Placement Using Semantic Understanding in Mixed Reality
One key challenge in augmented reality is the placement of virtual content in natural locations.
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
We introduce an interactive image segmentation and visualization framework for identifying, inspecting, and editing tiny objects (just a few pixels wide) in large multi-megapixel high-dynamic-range (HDR) images.
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion
To this end, we introduce VoRTX, an end-to-end volumetric 3D reconstruction network using transformers for wide-baseline, multi-view feature fusion.
3DVNet: Multi-View Depth Prediction and Volumetric Refinement
Furthermore, unlike existing volumetric MVS techniques, our 3D CNN operates on a feature-augmented point cloud, allowing for effective aggregation of multi-view information and flexible iterative refinement of depth maps.
Ranked #5 on
3D Action Recognition
on NTU RGB+D
Sparse Fusion for Multimodal Transformers
Multimodal classification is a core task in human-centric machine learning.
Augmentation Strategies for Learning with Noisy Labels
In this paper, we evaluate different augmentation strategies for algorithms tackling the "learning with noisy labels" problem.
Ranked #9 on
Image Classification
on Clothing1M
(using extra training data)
