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12/14/2022
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Most cross-domain unsupervised Video Anomaly Detection (VAD) works assum...
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09/08/2022
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Cost-effective depth and infrared sensors as alternatives to usual RGB s...
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02/04/2022
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Graph Convolutional Networks (GCNs) have been widely used to model the h...
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02/04/2022
Iterative Self Knowledge Distillation – From Pothole Classification to Fine-Grained and COVID Recognition
Pothole classification has become an important task for road inspection ...
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11/22/2019
ViewSynth: Learning Local Features from Depth using View Synthesis
We address the problem of jointly detecting keypoints and learning descr...
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11/19/2019
Attention Guided Anomaly Detection and Localization in Images
Anomaly detection and localization is a popular computer vision problem ...
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11/20/2018
Learning without Memorizing
Incremental learning (IL) is an important task aimed to increase the cap...
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11/19/2018
Reducing Visual Confusion with Discriminative Attention
Recent developments in gradient-based attention modeling have led to imp...
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02/27/2018
Tell Me Where to Look: Guided Attention Inference Network
Weakly supervised learning with only coarse labels can obtain visual exp...
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11/16/2017
Learning Compositional Visual Concepts with Mutual Consistency
Compositionality of semantic concepts in image synthesis and analysis is...
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07/06/2017