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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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06/01/2023
Intriguing Properties of Text-guided Diffusion Models
Text-guided diffusion models (TDMs) are widely applied but can fail unex...
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06/01/2023
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Capturing and editing full head performances enables the creation of vir...
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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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05/05/2023
General Neural Gauge Fields
The recent advance of neural fields, such as neural radiance fields, has...
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04/17/2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Enhancing the robustness of vision algorithms in real-world scenarios is...
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03/13/2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
Human pose and shape (HPS) estimation methods achieve remarkable results...
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01/12/2023
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera
In this work, we consider the problem of estimating the 3D position of m...
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12/01/2022
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Visual Question Answering (VQA) models often perform poorly on out-of-di...
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10/27/2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
3D reconstruction of deformable (or non-rigid) scenes from a set of mono...
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10/04/2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow
Reconstructing two-hand interactions from a single image is a challengin...
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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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04/05/2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
While Visual Question Answering (VQA) has progressed rapidly, previous w...
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12/02/2021
PartImageNet: A Large, High-Quality Dataset of Parts
A part-based object understanding facilitates efficient compositional le...
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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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10/26/2021
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation
The field of computational pathology has witnessed great advancements si...
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07/12/2021
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
Self-Attention has become prevalent in computer vision models. Inspired ...
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06/17/2021
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision
3D face reconstruction from a single image is challenging due to its ill...
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06/08/2021
Simulated Adversarial Testing of Face Recognition Models
Most machine learning models are validated and tested on fixed datasets....
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06/01/2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...
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03/25/2021
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models
Part segmentations provide a rich and detailed part-level description of...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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02/22/2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Catastrophic forgetting in neural networks is a significant problem for ...
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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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01/28/2021
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification
Few-shot image classification consists of two consecutive learning proce...
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12/03/2020
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
Analyzing complex scenes with Deep Neural Networks is a challenging task...
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12/01/2020
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
Patch-based adversarial attacks introduce a perceptible but localized ch...
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12/01/2020
Unsupervised Part Discovery via Feature Alignment
Understanding objects in terms of their individual parts is important, b...
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10/25/2020
Weakly-Supervised Amodal Instance Segmentation with Compositional Priors
Amodal segmentation in biological vision refers to the perception of the...
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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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04/12/2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Patch-based attacks introduce a perceptible but localized change to the ...
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03/10/2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Recent work has shown that deep convolutional neural networks (DCNNs) do...
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11/18/2019
Localizing Occluders with Compositional Convolutional Networks
Compositional convolutional networks are generative compositional models...
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09/09/2019
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
Despite deep convolutional neural networks' great success in object clas...
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09/03/2019
3D Morphable Face Models – Past, Present and Future
In this paper, we provide a detailed survey of 3D Morphable Face Models ...
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05/28/2019
Compositional Convolutional Networks For Robust Object Classification under Occlusion
Deep convolutional neural networks (DCNNs) are powerful models that yiel...
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03/21/2019
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding
We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shap...
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11/19/2018
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance
Today's most successful facial image analysis systems are based on deep ...
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11/19/2018
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Computer vision tasks are difficult because of the large variability in ...
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02/16/2018
Training Deep Face Recognition Systems with Synthetic Data
Recent advances in deep learning have significantly increased the perfor...
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12/05/2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
It is unknown what kind of biases modern in the wild face datasets have ...
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01/22/2017