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07/31/2023
Towards General Low-Light Raw Noise Synthesis and Modeling
Modeling and synthesizing low-light raw noise is a fundamental problem f...
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06/08/2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Learning from set-structured data, such as point clouds, has gained sign...
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05/18/2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
Lifelong learning agents aim to learn multiple tasks sequentially over a...
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03/14/2023
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Planar object tracking is a critical computer vision problem and has dra...
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02/08/2022
Teaching Networks to Solve Optimization Problems
Leveraging machine learning to optimize the optimization process is an e...
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01/18/2022
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images
Extracting roads from high-resolution remote sensing images (HRSIs) is v...
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12/11/2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Learning from set-structured data is an essential problem with many appl...
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09/21/2020
Domain-Embeddings Based DGA Detection with Incremental Training Method
DGA-based botnet, which uses Domain Generation Algorithms (DGAs) to evad...
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04/16/2016
