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03/18/2022
Learning Compressed Embeddings for On-Device Inference
In deep learning, embeddings are widely used to represent categorical en...
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01/23/2022
One-Shot Learning on Attributed Sequences
One-shot learning has become an important research topic in the last dec...
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11/08/2020
MLAS: Metric Learning on Attributed Sequences
Distance metric learning has attracted much attention in recent years, w...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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03/17/2020
CycleISP: Real Image Restoration via Improved Data Synthesis
The availability of large-scale datasets has helped unleash the true pot...
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03/15/2020
Learning Enriched Features for Real Image Restoration and Enhancement
With the goal of recovering high-quality image content from its degraded...
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11/03/2019
Attributed Sequence Embedding
Mining tasks over sequential data, such as clickstreams and gene sequenc...
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09/11/2019
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
Being heavily reliant on animals, it is our ethical obligation to improv...
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05/30/2019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Existing Earth Vision datasets are either suitable for semantic segmenta...
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04/11/2019
Learning Digital Camera Pipeline for Extreme Low-Light Imaging
In low-light conditions, a conventional camera imaging pipeline produces...
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11/02/2018