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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...
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06/14/2023
EPIC Fields: Marrying 3D Geometry and Video Understanding
Neural rendering is fuelling a unification of learning, 3D geometry and ...
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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...
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04/06/2023
Training-Free Layout Control with Cross-Attention Guidance
Recent diffusion-based generators can produce high-quality images based ...
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02/21/2023
RealFusion: 360° Reconstruction of Any Object from a Single Image
We consider the problem of reconstructing a full 360 photographic model ...
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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...
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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...
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09/07/2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Self-supervised visual representation learning has recently attracted si...
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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...
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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...
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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...
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11/11/2021
Unsupervised Part Discovery from Contrastive Reconstruction
The goal of self-supervised visual representation learning is to learn s...
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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...
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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...
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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...
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04/07/2020
Semantic Image Manipulation Using Scene Graphs
Image manipulation can be considered a special case of image generation ...
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08/25/2019
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
Understanding images without explicit supervision has become an importan...
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02/18/2019
2017 Robotic Instrument Segmentation Challenge
In mainstream computer vision and machine learning, public datasets such...
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11/02/2018
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
Humans excel in grasping and manipulating objects because of their life-...
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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...
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03/30/2018
Guide Me: Interacting with Deep Networks
Interaction and collaboration between humans and intelligent machines ha...
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04/11/2017
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
Given the recent advances in depth prediction from Convolutional Neural ...
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03/30/2017
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Real-time instrument tracking is a crucial requirement for various compu...
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12/01/2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Many prediction tasks contain uncertainty. In some cases, uncertainty is...
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06/01/2016