Iro Laina | DeepAI

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Nassir Navab
318 publications
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171 publications
Andrea Vedaldi
146 publications
Federico Tombari
130 publications
Danail Stoyanov
68 publications
Gregory D. Hager
59 publications
Vasileios Belagiannis
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Christian Rupprecht
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Lena Maier-Hein
46 publications

∙ 06/15/2023

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation

The variety of objects in the real world is nearly unlimited and is thus...

0 Laurynas Karazija, et al. ∙

∙ 06/14/2023

EPIC Fields: Marrying 3D Geometry and Video Understanding

Neural rendering is fuelling a unification of learning, 3D geometry and ...

0 Vadim Tschernezki, et al. ∙

∙ 06/07/2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion

Instance segmentation in 3D is a challenging task due to the lack of lar...

1 Yash Bhalgat, et al. ∙

∙ 04/06/2023

Training-Free Layout Control with Cross-Attention Guidance

Recent diffusion-based generators can produce high-quality images based ...

0 Minghao Chen, et al. ∙

∙ 02/21/2023

RealFusion: 360° Reconstruction of Any Object from a Single Image

We consider the problem of reconstructing a full 360 photographic model ...

0 Luke Melas-Kyriazi, et al. ∙

∙ 10/21/2022

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

We propose a new approach to learn to segment multiple image objects wit...

10 Laurynas Karazija, et al. ∙

∙ 09/07/2022

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

We present Neural Feature Fusion Fields (N3F), a method that improves de...

0 Vadim Tschernezki, et al. ∙

∙ 09/07/2022

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing

Self-supervised visual representation learning has recently attracted si...

0 Iro Laina, et al. ∙

∙ 05/16/2022

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion

Motion, measured via optical flow, provides a powerful cue to discover a...

15 Subhabrata Choudhury, et al. ∙

∙ 05/16/2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

Unsupervised localization and segmentation are long-standing computer vi...

0 Luke Melas-Kyriazi, et al. ∙

∙ 11/19/2021

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

There has been a recent surge in methods that aim to decompose and segme...

3 Laurynas Karazija, et al. ∙

∙ 11/11/2021

Unsupervised Part Discovery from Contrastive Reconstruction

The goal of self-supervised visual representation learning is to learn s...

5 Subhabrata Choudhury, et al. ∙

∙ 11/05/2021

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels

Most of us are not experts in specific fields, such as ornithology. None...

9 Subhabrata Choudhury, et al. ∙

∙ 05/17/2021

Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models

Recent research has shown that numerous human-interpretable directions e...

15 Luke Melas-Kyriazi, et al. ∙

∙ 10/27/2020

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning

The increasing impact of black box models, and particularly of unsupervi...

6 Iro Laina, et al. ∙

∙ 04/07/2020

Semantic Image Manipulation Using Scene Graphs

Image manipulation can be considered a special case of image generation ...

1 Helisa Dhamo, et al. ∙

∙ 08/25/2019

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings

Understanding images without explicit supervision has become an importan...

6 Iro Laina, et al. ∙

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

∙ 11/02/2018

Dealing with Ambiguity in Robotic Grasping via Multiple Predictions

Humans excel in grasping and manipulating objects because of their life-...

8 Ghazal Ghazaei, et al. ∙

∙ 07/23/2018

Peeking Behind Objects: Layered Depth Prediction from a Single Image

While conventional depth estimation can infer the geometry of a scene fr...

1 Helisa Dhamo, et al. ∙

∙ 03/30/2018

Guide Me: Interacting with Deep Networks

Interaction and collaboration between humans and intelligent machines ha...

2 Christian Rupprecht, et al. ∙

∙ 04/11/2017

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Given the recent advances in depth prediction from Convolutional Neural ...

0 Keisuke Tateno, et al. ∙

∙ 03/30/2017

Concurrent Segmentation and Localization for Tracking of Surgical Instruments

Real-time instrument tracking is a crucial requirement for various compu...

0 Iro Laina, et al. ∙

∙ 12/01/2016

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Many prediction tasks contain uncertainty. In some cases, uncertainty is...

0 Christian Rupprecht, et al. ∙

∙ 06/01/2016

Deeper Depth Prediction with Fully Convolutional Residual Networks

This paper addresses the problem of estimating the depth map of a scene ...

0 Iro Laina, et al. ∙

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