Arijit Biswas — AI Researcher

Research Interests: 1. Machine Learning: Deep Learning (Convolutional Neural networks, Recurrent Neural Networks, Long Short-term Memory, Multimodal Deep Learning), Weakly supervised learning, Active Learning, Semi-supervised Learning, Clustering, Metric Learning, Bayesian Non-parametric Methods (Chinese restaurant Process, Indian Buffet Process). 2. Computer Vision: Temporal Video Segmentation, Activity/Action Recognition in Videos, Computer Vision with Human-in-the-loop, Social Network Image Analysis, Image/Video Retrieval, Parts and Attributes of Images, Medical Image Analysis, Image and Video Processing, Object and Scene Recognition, 3-d Reconstruction. 3. Multimedia Analytics: Combine visual/audio/text information from videos/images for classification, summarization, localization, etc. 4. Text Analytics: Text Temporal Segmentation, Topic Modeling. ˆ5. Other: Crowdsourcing, Human Computer Interaction, Bio-inspired Optimization. PhD Research: Active and Semi-supervised Clustering of Images. I also worked on Leafsnap during the initial years of my PhD. I did internships at Toyota Technological Institute at Chicago (TTIC) and Xerox PARC during the third and forth year of my PhD respectively.

Stackforce AI infers this person is a Machine Learning and Computer Vision expert in the SaaS industry.

Location: Sunnyvale, California, United States

Experience: 16 yrs 3 mos