Search Results for author:
Found 8 papers, 1 papers with code
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
The Frozen Section (FS) technique is a rapid and efficient method, taking only 15-30 minutes to prepare slides for pathologists' evaluation during surgery, enabling immediate decisions on further surgical interventions.
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
Quantitative metrics such as FID and SSIM are frequently used for the analysis of generative models, but they do not correlate explicitly with higher-quality virtual staining results.
3D Convolutional with Attention for Action Recognition
The current action recognition methods use computationally expensive models for learning spatio-temporal dependencies of the action.
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning
We propose label-attention Transformer with geometrically coherent objects (LATGeO).
Image Captioning using Multiple Transformers for Self-Attention Mechanism
Real-time image captioning, along with adequate precision, is the main challenge of this research field.
Anomalous Event Recognition in Videos Based on Joint Learningof Motion and Appearance with Multiple Ranking Measures
We propose a framework, Deep-network with Multiple Ranking Measures(DMRMs), which addresses context-dependency using a joint learning technique for motion and appearance features.
Ranked #10 on
Anomaly Detection In Surveillance Videos
on UCF-Crime
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos
Afterwards, using these features and deep multiple instance learning along with the proposed ranking loss, our model learns to predict the abnormality score at the video segment level.
Ranked #12 on
Anomaly Detection In Surveillance Videos
on UCF-Crime
Speech Enhancement using Adaptive Mean Median Deviation and EMD Technique
During the acquisition of the speech signal by the non-contact Speech Sensor (SS), the signal is degraded by severe colored noises which are non-linear and non-uniform in nature.
