13 citations · 33 across the 18 of their papers we have counts for
16 papers · 1 filter
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
Rakshith Sathish, Swanand Khare, Debdoot Sheet
Convolutional Neural Networks have played a significant role in various medical imaging tasks like classification and segmentation. They provide state-of-the-art performance compar…
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She, Fan Feng, Qi Liu +33
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms
Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh +3
Mammograms are commonly employed in the large scale screening of breast cancer which is primarily characterized by the presence of malignant masses. However, automated image-level…
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh +2
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditions. Machine learning based automated solutions are being developed to reduce th…
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh +3
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditions. Being undertaken at primary healthcare centers, they require the presence o…
Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory
Saket Singh, Debdoot Sheet, Mithun Dasgupta
The simple approach of retrieving a closest match of a query image from one in the gallery, compares an image pair using sum of absolute difference in pixel or feature space. The p…