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08/03/2023
Guided Distillation for Semi-Supervised Instance Segmentation
Although instance segmentation methods have improved considerably, the d...
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04/14/2023
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar
Vegetation structure mapping is critical for understanding the global ca...
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11/25/2022
Unifying conditional and unconditional semantic image synthesis with OCO-GAN
Generative image models have been extensively studied in recent years. I...
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12/01/2020
Low Bandwidth Video-Chat Compression using Deep Generative Models
To unlock video chat for hundreds of millions of people hindered by poor...
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09/25/2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Super-resolution aims at increasing the resolution and level of detail w...
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07/17/2020
Impact of base dataset design on few-shot image classification
The quality and generality of deep image features is crucially determine...
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06/17/2019
Inspirational Adversarial Image Generation
The task of image generation started to receive some attention from arti...
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12/13/2018
Vector Image Generation by Learning Parametric Layer Decomposition
Deep image generation is becoming a tool to enhance artists and designer...
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11/30/2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
Generative models have proven to be an outstanding tool for representing...
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07/03/2018
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
In this work we introduce a time- and memory-efficient method for struct...
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04/03/2018
DeSIGN: Design Inspiration from Generative Networks
Can an algorithm create original and compelling fashion designs to serve...
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03/30/2018
Predicting Future Instance Segmentations by Forecasting Convolutional Features
Anticipating future events is an important prerequisite towards intellig...
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03/22/2017
Predicting Deeper into the Future of Semantic Segmentation
The ability to predict and therefore to anticipate the future is an impo...
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02/25/2017
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis
Comprehensive Two dimensional gas chromatography (GCxGC) plays a central...
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11/25/2016
Semantic Segmentation using Adversarial Networks
Adversarial training has been shown to produce state of the art results ...
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11/17/2015
Deep multi-scale video prediction beyond mean square error
Learning to predict future images from a video sequence involves the con...
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01/16/2013
Indoor Semantic Segmentation using depth information
This work addresses multi-class segmentation of indoor scenes with RGB-D...
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01/08/2013
Causal graph-based video segmentation
Numerous approaches in image processing and computer vision are making u...
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02/10/2012
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Scene parsing, or semantic segmentation, consists in labeling each pixel...
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10/13/2010