Yongchao Xu

Real-world conditions can severely impair object counting accuracy, but a novel test-time training approach boosts performance without requiring architectural changes.

Keypoint detectors can now be trained with RL to directly optimize for long-term trackability across image sequences, leading to significant improvements in downstream 3D vision tasks.