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07/20/2022
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
We present a Momentum Re-identification (MoReID) framework that can leve...
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04/07/2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
A pretrain-finetune strategy is widely used to reduce the overfitting th...
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06/13/2019
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
We present a novel deep zero-shot learning (ZSL) model for inferencing h...
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02/11/2019
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition
We present a novel event recognition approach called Spatially-preserved...
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01/24/2019
Is Pretraining Necessary for Hyperspectral Image Classification?
We address two questions for training a convolutional neural network (CN...
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11/07/2018
DOD-CNN: Doubly-injecting Object Information for Event Recognition
Recognizing an event in an image can be enhanced by detecting relevant o...
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05/04/2018
Object and Text-guided Semantics for CNN-based Activity Recognition
Many previous methods have demonstrated the importance of considering se...
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01/31/2018
Cross-domain CNN for Hyperspectral Image Classification
In this paper, we address the dataset scarcity issue with the hyperspect...
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04/04/2017
ME R-CNN: Multi-Expert R-CNN for Object Detection
We introduce Multi-Expert Region-based CNN (ME R-CNN) which is equipped ...
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03/21/2017
IOD-CNN: Integrating Object Detection Networks for Event Recognition
Many previous methods have showed the importance of considering semantic...
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10/21/2016