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06/05/2023
Reassembling Broken Objects using Breaking Curves
Reassembling 3D broken objects is a challenging task. A robust solution ...
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09/08/2022
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
Knowledge Graphs (KGs) have proven to be a reliable way of structuring d...
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03/28/2022
Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders
This paper proposes JiGAN, a GAN-based method for solving Jigsaw puzzles...
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03/14/2022
Energy-Latency Attacks via Sponge Poisoning
Sponge examples are test-time inputs carefully-optimized to increase ene...
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10/12/2021
Can machines learn to see without visual databases?
This paper sustains the position that the time has come for thinking of ...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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06/14/2021
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
Backdoor attacks inject poisoning samples during training, with the goal...
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03/23/2021
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
One of the most concerning threats for modern AI systems is data poisoni...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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12/20/2020
Transductive Visual Verb Sense Disambiguation
Verb Sense Disambiguation is a well-known task in NLP, the aim is to fin...
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10/12/2020
Asymmetric Siamese Networks for Semantic Change Detection
Given two multi-temporal aerial images, semantic change detection aims t...
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03/23/2020
Efficient Tensor Kernel methods for sparse regression
Recently, classical kernel methods have been extended by the introductio...
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12/01/2019
The Group Loss for Deep Metric Learning
Deep metric learning has yielded impressive results in tasks such as clu...
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09/20/2019
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets
The availability of large-scale data sets is an essential pre-requisite ...
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06/04/2019
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
View based strategies for 3D object recognition have proven to be very s...
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05/16/2019
Separating Structure from Noise in Large Graphs Using the Regularity Lemma
How can we separate structural information from noise in large graphs? T...
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05/06/2019
Unsupervised Domain Adaptation using Graph Transduction Games
Unsupervised domain adaptation (UDA) amounts to assigning class labels t...
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04/25/2019
Deep Constrained Dominant Sets for Person Re-identification
In this work, we propose an end-to-end constrained clustering scheme to ...
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01/16/2019
A Functional Representation for Graph Matching
Graph matching is an important and persistent problem in computer vision...
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11/25/2018
Is Data Clustering in Adversarial Settings Secure?
Clustering algorithms have been increasingly adopted in security applica...
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10/12/2018
DeepScores and Deep Watershed Detection: current state and open issues
This paper gives an overview of our current Optical Music Recognition (O...
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10/02/2018
Characterization of Visual Object Representations in Rat Primary Visual Cortex
For most animal species, quick and reliable identification of visual obj...
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10/02/2018
Ancient Coin Classification Using Graph Transduction Games
Recognizing the type of an ancient coin requires theoretical expertise a...
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08/15/2018
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
Aggregating different image features for image retrieval has recently sh...
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06/12/2018
A Graph Transduction Game for Multi-target Tracking
Semi-supervised learning is a popular class of techniques to learn from ...
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05/26/2018
Transductive Label Augmentation for Improved Deep Network Learning
A major impediment to the application of deep learning to real-world pro...
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05/21/2018
Speaker Clustering Using Dominant Sets
Speaker clustering is the task of forming speaker-specific groups based ...
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03/27/2018
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects
We present the DeepScores dataset with the goal of advancing the state-o...
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11/28/2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Object detection is an important and challenging problem in computer vis...
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07/15/2017
Dominant Sets for "Constrained" Image Segmentation
Image segmentation has come a long way since the early days of computer ...
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06/19/2017
Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets
In this paper, a unified three-layer hierarchical approach for solving t...
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03/21/2017
On the Interplay between Strong Regularity and Graph Densification
In this paper we analyze the practical implications of Szemerédi's regul...
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02/04/2017
Large-scale Image Geo-Localization Using Dominant Sets
This paper presents a new approach for the challenging problem of geo-lo...
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09/21/2016
Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition
Introduced in the mid-1970's as an intermediate step in proving a long-s...
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09/15/2016
Context Aware Nonnegative Matrix Factorization Clustering
In this article we propose a method to refine the clustering results obt...
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08/01/2016
Interactive Image Segmentation Using Constrained Dominant Sets
We propose a new approach to interactive image segmentation based on som...
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07/08/2016
Document Clustering Games in Static and Dynamic Scenarios
In this work we propose a game theoretic model for document clustering. ...
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06/24/2016
A Game-Theoretic Approach to Word Sense Disambiguation
This paper presents a new model for word sense disambiguation formulated...
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10/31/2012