435 citations
- Queen's UniversityCA6 papers
- California Institute of TechnologyUS5 papers
- Consejo Superior de Investigaciones CientíficasES5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS5 papers
- Laurentian UniversityCA5 papers
- Lawrence Berkeley National LaboratoryUS5 papers
- Mitchell InstituteUS5 papers
- National Institute of Science Education and ResearchIN5 papers
- Pacific Northwest National LaboratoryUS5 papers
- Santa Clara UniversityUS5 papers
- SLAC National Accelerator LaboratoryUS5 papers
5 papers · 1 filter
AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
Alavikunhu Panthakkan, Zubair Medammal, S M Anzar +2
Falconry, an ancient practice of training and hunting with falcons, emphasizes the need for vigilant health monitoring to ensure the well-being of these highly valued birds, especi…
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Zhibo Zhang, Ernesto Damiani, Hussam Al Hamadi +2
Image spam threat detection has continually been a popular area of research with the internet's phenomenal expansion. This research presents an explainable framework for detecting…
You Never Cluster Alone
Yuming Shen, Ziyi Shen, Menghan Wang +3
Recent advances in self-supervised learning with instance-level contrastive objectives facilitate unsupervised clustering. However, a standalone datum is not perceiving the context…
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
Sanath Narayan, Hisham Cholakkal, Munawar Hayat +3
This work proposes a weakly-supervised temporal action localization framework, called D2-Net, which strives to temporally localize actions using video-level supervision. Our main c…
Learning Digital Camera Pipeline for Extreme Low-Light Imaging
Syed Waqas Zamir, Aditya Arora, Salman Khan +2
In low-light conditions, a conventional camera imaging pipeline produces sub-optimal images that are usually dark and noisy due to a low photon count and low signal-to-noise ratio…