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06/16/2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
As neural networks become deeper, the redundancy within their parameters...
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06/11/2023
Comparing machine learning models for tau triggers
This paper introduces novel supervised learning techniques for real-time...
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06/11/2023
An information-Theoretic Approach to Semi-supervised Transfer Learning
Transfer learning is a valuable tool in deep learning as it allows propa...
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06/10/2023
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder
The recently introduced Segment Anything Model (SAM) combines a clever a...
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06/09/2023
SENS: Sketch-based Implicit Neural Shape Modeling
We present SENS, a novel method for generating and editing 3D models fro...
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05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
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05/27/2023
Pruning at Initialization – A Sketching Perspective
The lottery ticket hypothesis (LTH) has increased attention to pruning n...
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05/25/2023
Neural (Tangent Kernel) Collapse
This work bridges two important concepts: the Neural Tangent Kernel (NTK...
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05/25/2023
UDPM: Upsampling Diffusion Probabilistic Models
In recent years, Denoising Diffusion Probabilistic Models (DDPM) have ca...
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03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
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03/23/2023
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Recent breakthroughs in text-guided image generation have led to remarka...
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02/03/2023
TEXTure: Text-Guided Texturing of 3D Shapes
In this paper, we present TEXTure, a novel method for text-guided genera...
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12/06/2022
ADIR: Adaptive Diffusion for Image Reconstruction
In recent years, denoising diffusion models have demonstrated outstandin...
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11/25/2022
MAEDAY: MAE for few and zero shot AnomalY-Detection
The goal of Anomaly-Detection (AD) is to identify outliers, or outlying ...
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11/25/2022
PIP: Positional-encoding Image Prior
In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitte...
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11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
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11/14/2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Text-guided image generation has progressed rapidly in recent years, ins...
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10/25/2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network
Overparameterization in deep learning typically refers to settings where...
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08/30/2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Diffusion models are a class of generative models, showing superior perf...
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07/12/2022
Utilizing Excess Resources in Training Neural Networks
In this work, we suggest Kernel Filtering Linear Overparameterization (K...
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05/26/2022
Membership Inference Attack Using Self Influence Functions
Member inference (MI) attacks aim to determine if a specific data sample...
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04/25/2022
ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer
Using synthetic data for training neural networks that achieve good perf...
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04/16/2022
Stress-Testing LiDAR Registration
Point cloud registration (PCR) is an important task in many fields inclu...
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01/31/2022
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation
Neural implicit fields are quickly emerging as an attractive representat...
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01/18/2022
Extending the Vocabulary of Fictional Languages using Neural Networks
Fictional languages have become increasingly popular over the recent yea...
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01/05/2022
DeepMLS: Geometry-Aware Control Point Deformation
We introduce DeepMLS, a space-based deformation technique, guided by a s...
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12/28/2021
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
Video reconstruction from a single motion-blurred image is a challenging...
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12/04/2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly d...
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10/11/2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Despite recent advances in geometric modeling, 3D mesh modeling still in...
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10/06/2021
DeepBBS: Deep Best Buddies for Point Cloud Registration
Recently, several deep learning approaches have been proposed for point ...
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09/16/2021
KATANA: Simple Post-Training Robustness Using Test Time Augmentations
Although Deep Neural Networks (DNNs) achieve excellent performance on ma...
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08/12/2021
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
Unsupervised style transfer that supports diverse input styles using onl...
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05/30/2021
Z2P: Instant Rendering of Point Clouds
We present a technique for rendering point clouds using a neural network...
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05/05/2021
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
The increasing availability of video recordings made by multiple cameras...
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05/04/2021
Orienting Point Clouds with Dipole Propagation
Establishing a consistent normal orientation for point clouds is a notor...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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04/19/2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Multilayer-perceptrons (MLP) are known to struggle with learning functio...
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02/24/2021
Multiplicative Reweighting for Robust Neural Network Optimization
Deep neural networks are widespread due to their powerful performance. Y...
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02/04/2021
Image Restoration by Deep Projected GSURE
Ill-posed inverse problems appear in many image processing applications,...
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01/27/2021
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term
The vast majority of image recovery tasks are ill-posed problems. As suc...
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01/25/2021
ISP Distillation
Nowadays, many of the images captured are "observed" by machines only an...
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12/08/2020
GMM-Based Generative Adversarial Encoder Learning
While GAN is a powerful model for generating images, its inability to in...
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12/07/2020
Fine-grained Angular Contrastive Learning with Coarse Labels
Few-shot learning methods offer pre-training techniques optimized for ea...
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10/05/2020
Best Buddies Registration for Point Clouds
We propose new, and robust, loss functions for the point cloud registrat...
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09/21/2020
Kernel-Based Smoothness Analysis of Residual Networks
A major factor in the success of deep neural networks is the use of soph...
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09/05/2020
Deep Sparse Light Field Refocusing
Light field photography enables to record 4D images, containing angular ...
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08/14/2020
Self-Sampling for Neural Point Cloud Consolidation
In this paper, we introduce a deep learning technique for consolidating ...
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07/03/2020
Self-supervised Neural Architecture Search
Neural Architecture Search (NAS) has been used recently to achieve impro...
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06/30/2020
Deep Geometric Texture Synthesis
Recently, deep generative adversarial networks for image generation have...
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05/31/2020
