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08/19/2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
Regression-based methods for 3D human pose estimation directly predict t...
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06/13/2023
Adding 3D Geometry Control to Diffusion Models
Diffusion models have emerged as a powerful method of generative modelin...
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05/31/2023
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis
Human vision demonstrates higher robustness than current AI algorithms u...
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05/25/2023
Robust Category-Level 3D Pose Estimation from Synthetic Data
Obtaining accurate 3D object poses is vital for numerous computer vision...
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05/24/2023
Robust 3D-aware Object Classification via Discriminative Render-and-Compare
In real-world applications, it is essential to jointly estimate the 3D o...
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09/12/2022
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
We consider the problem of category-level 6D pose estimation from a sing...
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05/30/2022
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
Differentiable rendering allows the application of computer graphics on ...
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11/29/2021
ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
Enhancing the robustness in real-world scenarios has been proven very ch...
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10/27/2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
We study the problem of learning to estimate the 3D object pose from a f...
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01/29/2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
3D pose estimation is a challenging but important task in computer visio...
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09/29/2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Today's most popular approaches to keypoint detection learn a holistic r...
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06/28/2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Computer vision systems in real-world applications need to be robust to ...
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05/24/2020
Robust Object Detection under Occlusion with Context-Aware CompositionalNets
Detecting partially occluded objects is a difficult task. Our experiment...
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09/03/2019
