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07/07/2023
Novel Categories Discovery from probability matrix perspective
Novel Categories Discovery (NCD) tackles the open-world problem of class...
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04/14/2023
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
Novel Categories Discovery (NCD) facilitates learning from a partially a...
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11/03/2022
Progressive Transformation Learning For Leveraging Virtual Images in Training
To effectively interrogate UAV-based images for detecting objects of int...
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08/31/2022
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
Learning to detect objects, such as humans, in imagery captured by an un...
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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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06/13/2022
A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth
Imagery collected from outdoor visual environments is often degraded due...
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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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04/06/2022
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors
In this paper, we propose a novel and highly practical score-level fusio...
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02/08/2022
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
Recently, self-supervised learning has attracted attention due to its re...
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01/17/2022
Validation of object detection in UAV-based images using synthetic data
Object detection is increasingly used onboard Unmanned Aerial Vehicles (...
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11/07/2019
SENSE: Semantically Enhanced Node Sequence Embedding
Effectively capturing graph node sequences in the form of vector embeddi...
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08/11/2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Object detection from images captured by Unmanned Aerial Vehicles (UAVs)...
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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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02/14/2019
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
Zero-shot learning (ZSL) is one of the most extreme forms of learning fr...
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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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12/13/2018
Discovering and Generating Hard Examples for Training a Red Tide Detector
Currently, accurate detection of natural phenomena, such as red tide, th...
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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
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification
In this paper, we introduce a novel fusion method that can enhance objec...
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10/21/2016
Exploitation of Semantic Keywords for Malicious Event Classification
Learning an event classifier is challenging when the scenes are semantic...
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04/12/2016
Going Deeper with Contextual CNN for Hyperspectral Image Classification
In this paper, we describe a novel deep convolutional neural network (CN...
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04/12/2016
DTM: Deformable Template Matching
A novel template matching algorithm that can incorporate the concept of ...
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04/12/2016
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search
Object localization is an important task in computer vision but requires...
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03/01/2016
Weakly Supervised Localization using Deep Feature Maps
Object localization is an important computer vision problem with a varie...
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11/10/2015