ML@GT Alumni Corner: Jason Lin, Seeking Balance between Research, Application, and Problem Solving on the Go

The Machine Learning Center at Georgia Tech is responsible for training the next generation of machine learning and artificial intelligence pioneers. Jason Lin, a recent master’s in computer science graduate who specialized in machine learning and robotics, is one of many students the center is thrilled to see thriving in today’s workforce. Currently a research … Continue reading ML@GT Alumni Corner: Jason Lin, Seeking Balance between Research, Application, and Problem Solving on the Go

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

By Ramprasaath R. Selvaraju Many popular and well-performing models for multi-modal, vision and language tasks exhibit poor visual grounding -- failing to appropriately associate words or phrases with the image regions they denote and relying instead on superficial linguistic correlations. For example, answering the question “What color are the bananas?” with yellow regardless of their … Continue reading Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Embodied Amodal Recognition: Learning to Move to Perceive Objects

By Jianwei Yang and Zhile Ren With the rapid development of computer vision, several technologies such as object detection and image classification are becoming mature and effective. Those vision algorithms play important roles in many real-world systems, enabling applications ranging from augmented reality to self-driving cars.  The pipeline for designing a typical computer vision system … Continue reading Embodied Amodal Recognition: Learning to Move to Perceive Objects

11 Questions with Galen Reeves

The Machine Learning Center at Georgia Tech’s Seminar Series draws leading researchers from across academia and industry each semester to present on current topics in machine learning and artificial intelligence, applications for the technologies, and related insights and experiences. The popular series averages more than 100 attendees for each talk. This fall, five experts will giving … Continue reading 11 Questions with Galen Reeves

Overcoming Large-scale Annotation Requirements for Understanding Videos in the Wild

By Min-Hung Chen, Zsolt Kira and Ghassan AlRegib Videos have become an increasingly important type of media from which we obtain valuable information and knowledge. This motivates the need for the development of video analysis techniques. The development of these techniques could, for example, provide recommendations or support discovery for different objectives. Given the recent … Continue reading Overcoming Large-scale Annotation Requirements for Understanding Videos in the Wild

ML@GT Announces Fall Seminar Series Speakers

Each semester, hundreds of students, faculty, and external guests are treated to talks by some of the world’s most renowned scientists. This fall, the Machine Learning Center at Georgia Tech (ML@GT) will host five talks as a part of its Fall Seminar Series. Speakers come from industry and academia, giving attendees exposure to problems being … Continue reading ML@GT Announces Fall Seminar Series Speakers

10 Questions with Magic Leap Researchers

The Machine Learning Center at Georgia Tech (ML@GT) Speaker Series draws leading researchers from across academia and industry each semester to present on current topics in machine learning and artificial intelligence, applications for the technologies, and related insights and experiences. The popular series averages more than 100 attendees for each talk. This spring, ML@GT invited nine experts to … Continue reading 10 Questions with Magic Leap Researchers