The project aligns closely with his broader PhD research. “Currently, I’m working on exploring the world’s unseen regions,” he explains. “What we can infer from the scene to detect or infer the unseen world.” Extreme amodal face detection is one step in that direction. When asked about his future plans, Changlin is open-minded. “It kind of depends on what offers I get,” he says with a smile. Industry appeals to him because it offers the chance to build products that contribute directly to the world, but academia remains his focus for now. “Research is the kind of thing that I’m enjoying.” He chose the Australian National University in part because of its strong tradition in computer vision. “We have a really famous professor called Richard Hartley,” he notes, referencing the author of Multiple View Geometry in Computer Vision. “Also, they have a lot of good faculty and good students here.” You can learn more about Changlin’s work during Oral Session 4A: Image Recognition and Understanding II (AZ Ballroom 6) on Monday from 9:45–10:45, and at Poster Session 3 (Tucson Ballroom & Prefunction Space) on Monday from 10:45–12:30, poster #2. 7 DAILY WACV Monday Changlin Song
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