Fangzhou Lin
My research areas lie in agentic AI, multimodal AI, generative AI, especially in LLM, vision-language models, MLLM, 3D generative models, 3D perception, AI for medical, AI4Sci.
News
Our paper: GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching has been accepted by ICLR 2025!
Our paper: Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance has been accepted by IEEE IROS 2024 as an Oral presentation!
Our paper: Understanding Hyperbolic Metric Learning through Hard Negative Sampling has been accepted by IEEE WACV 2024!
Our paper: InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion has been accepted by NeurIPS 2023!
Our paper: Hyperbolic Chamfer Distance for Point Cloud Completion has been accepted by IEEE ICCV 2023!
Service
Reviewer of ICLR, NeurIPS, CVPR, ICCV, IROS, MICCAI
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