Search Results for author: Hieu Le

Found 16 papers, 3 papers with code

Generating Representative Samples for Few-Shot Classification

1 code implementation CVPR 2022 Jingyi Xu, Hieu Le

To mitigate this issue, we propose to generate visual samples based on semantic embeddings using a conditional variational autoencoder (CVAE) model.

Classification Few-Shot Learning

AutoFR: Automated Filter Rule Generation for Adblocking

no code implementations25 Feb 2022 Hieu Le, Salma Elmalaki, Athina Markopoulou, Zubair Shafiq

Adblocking relies on filter lists, which are manually curated and maintained by a small community of filter list authors.

Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness

no code implementations5 Jan 2022 Hieu Le, Hans Walker, Dung Tran, Peter Chin

Although deep neural networks have achieved great performance on classification tasks, recent studies showed that well trained networks can be fooled by adding subtle noises.


Temporal Feature Warping for Video Shadow Detection

no code implementations29 Jul 2021 Shilin Hu, Hieu Le, Dimitris Samaras

The current video shadow detection method achieves this goal via co-attention, which mostly exploits information that is temporally coherent but is not robust in detecting moving shadows and small shadow regions.

Optical Flow Estimation Shadow Detection

Physics-based Shadow Image Decomposition for Shadow Removal

2 code implementations23 Dec 2020 Hieu Le, Dimitris Samaras

Inspired by physical models of shadow formation, we use a linear illumination transformation to model the shadow effects in the image that allows the shadow image to be expressed as a combination of the shadow-free image, the shadow parameters, and a matte layer.

Shadow Removal

From Shadow Segmentation to Shadow Removal

no code implementations ECCV 2020 Hieu Le, Dimitris Samaras

Our method achieves competitive shadow removal results compared to state-of-the-art methods that are trained with fully paired shadow and shadow-free images.

Shadow Removal

Shadow Removal via Shadow Image Decomposition

3 code implementations ICCV 2019 Hieu Le, Dimitris Samaras

Training our model on this new augmented ISTD dataset further lowers the RMSE on the shadow area to 7. 4.

Shadow Removal

Weakly Labeling the Antarctic: The Penguin Colony Case

no code implementations8 May 2019 Hieu Le, Bento Gonçalves, Dimitris Samaras, Heather Lynch

This segmentation network is trained with a specific loss function, based on the average activation, to effectively learn from the data with the weakly-annotated labels.

Semantic Segmentation

A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation

no code implementations ECCV 2018 Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras

The A-Net modifies the original training images constrained by a simplified physical shadow model and is focused on fooling the D-Net's shadow predictions.

Detecting Shadows Shadow Detection

Geodesic Distance Histogram Feature for Video Segmentation

no code implementations31 Mar 2017 Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras

This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms.

Superpixels Video Segmentation +1

Efficient Video Segmentation Using Parametric Graph Partitioning

no code implementations ICCV 2015 Chen-Ping Yu, Hieu Le, Gregory Zelinsky, Dimitris Samaras

Video segmentation is the task of grouping similar pixels in the spatio-temporal domain, and has become an important preprocessing step for subsequent video analysis.

graph partitioning Video Segmentation +1

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