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04/25/2023
Learning Robust Deep Equilibrium Models
Deep equilibrium (DEQ) models have emerged as a promising class of impli...
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03/10/2022
Improving Neural ODEs via Knowledge Distillation
Neural Ordinary Differential Equations (Neural ODEs) construct the conti...
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12/04/2020
Towards Natural Robustness Against Adversarial Examples
Recent studies have shown that deep neural networks are vulnerable to ad...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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09/17/2018
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Human parsing has received considerable interest due to its wide applica...
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03/10/2017
A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
This paper proposes a new evaluation protocol for cross-media retrieval ...
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10/25/2016
Camera Fingerprint: A New Perspective for Identifying User's Identity
Identifying user's identity is a key problem in many data mining applica...
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08/02/2015
Indexing of CNN Features for Large Scale Image Search
Convolutional neural network (CNN) features which represent images with ...
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06/22/2015