3 papers
cs.LG2026
ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization
He-Yen Hsieh, H. T. Kung
ReRound (Reconstructive Rounding) is a post-training quantization method that addresses the midpoint ambiguity inherent in standard round-to-nearest (RTN) schemes when quantizing w…
cs.CV2026
Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation
He-Yen Hsieh, Wei-Te Mark Ting, H. T. Kung
Pre-trained gaze models learn to identify useful patterns commonly found across users, but subtle user-specific variations (i.e., eyelid shape or facial structure) can degrade mode…
cs.CV2024
GazeGen: Gaze-Driven User Interaction for Visual Content Generation
He-Yen Hsieh, Ziyun Li, Sai Qian Zhang +5
We present GazeGen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. GazeGen allows intuitive manipulatio…