Sphere-Meshes for Real-Time Hand Modeling and Tracking

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Human motion analysis and synthesis is integral to many computer vision applications, from autonomous driving to sports analysis. In this thesis, we address several problems in this domain. First we consider active viewpoint selection for pose estimation w ...

Current machine learning models for vision are often highly specialized and limited to a single modality and task. In contrast, recent large language models exhibit a wide range of capabilities, hinting at a possibility for similarly versatile models in co ...

Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The core for this to be successful is to learn the discriminative inlier/outlier f ...

Most recent test-time adaptation methods focus on only classification tasks, use specialized network architectures, destroy model calibration or rely on lightweight information from the source domain. To tackle these issues, this paper proposes a novel Tes ...

Accurately estimating 3D human pose (3D HPE) and joint locations using only 2D keypoints is challenging. The noise in the predictions produced by conventional 2D human pose estimators often impeded the accuracy. In this paper, we present a diffusion-based ...

This paper investigates the potential impact of deep generative models on the work of creative professionals, specifically focusing on fashion design. We argue that current generative modeling tools lack critical features that would make them useful creati ...

In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...

Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems. It aims at matching a low-resolution probe image with high-resolution gallery images registered in a database. Existing methods mainly leverage pri ...

Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-constrained devices, requiring practitioners to compress them to smaller net ...

Sphere-Meshes for Real-Time Hand Modeling and Tracking

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Automated Human Motion Analysis and Synthesis

4M: Massively Multimodal Masked Modeling

Robust Outlier Rejection for 3D Registration with Variational Bayes

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

Deep Learning for 3D Surface Modelling and Reconstruction

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models