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06/20/2023
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
The advent of data-driven technology solutions is accompanied by an incr...
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10/19/2022
Learning to Discover and Detect Objects
We tackle the problem of novel class discovery, detection, and localizat...
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10/11/2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Convolutional neural networks were the standard for solving many compute...
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06/09/2022
Simple Cues Lead to a Strong Multi-Object Tracker
For a long time, the most common paradigm in Multi-Object Tracking was t...
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06/22/2021
Towards Reducing Labeling Cost in Deep Object Detection
Deep neural networks have reached very high accuracy on object detection...
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06/17/2021
The 2021 Image Similarity Dataset and Challenge
This paper introduces a new benchmark for large-scale image similarity d...
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03/30/2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active learning aims to reduce labeling costs by selecting only the most...
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02/15/2021
Learning Intra-Batch Connections for Deep Metric Learning
The goal of metric learning is to learn a function that maps samples to ...
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06/21/2020
Exploiting Contextual Information with Deep Neural Networks
Context matters! Nevertheless, there has not been much research in explo...
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05/19/2020
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
The unprecedented increase in the usage of computer vision technology in...
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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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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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07/13/2018
Deep Learning in the Wild
Deep learning with neural networks is applied by an increasing number of...
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07/11/2018
Learning Neural Models for End-to-End Clustering
We propose a novel end-to-end neural network architecture that, once tra...
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05/26/2018
Deep Watershed Detector for Music Object Recognition
Optical Music Recognition (OMR) is an important and challenging area wit...
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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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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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09/21/2016