org card: accurate project names, compact inline links

README.md

@@ -19,16 +19,14 @@ From the [MAC Lab](https://mac.kaist.ac.kr/) at KAIST and the [Music Informatics
 
 PianoVAM captures piano performance across every modality at once. Each of 107 practice recordings on a Yamaha Disklavier aligns top-view video, lossless audio, ground-truth MIDI, and 21-point hand landmarks to the same take. On top of the dataset we build models that read one modality from another, starting with V2N, which transcribes piano to complete MIDI from silent video alone.
 
-### PianoVAM: a multimodal piano dataset (ISMIR 2025)
-- 🗂️ [Dataset](https://huggingface.co/datasets/PianoVAM/PianoVAM_v1)
-- 🎬 [Live demo](https://huggingface.co/spaces/PianoVAM/PianoVAM)
-- 📄 [Paper](https://arxiv.org/abs/2509.08800)
-- 💻 [Code](https://github.com/yonghyunk1m/PianoVAM-Code)
-
-### V2N: visual piano transcription (ISMIR 2026)
-- 🎬 [Live demo](https://huggingface.co/spaces/PianoVAM/V2N)
-- 📄 [Paper](https://arxiv.org/abs/2608.03419)
-- 💻 [Code](https://github.com/yonghyunk1m/V2N)
-
-### PiaRec & ASDF: acquisition and fingering toolkits (ISMIR 2025 LBD)
-- 📄 [Paper](https://arxiv.org/abs/2509.15222)
+### PianoVAM
+A multimodal piano performance dataset (ISMIR 2025).
+🗂️ [Dataset](https://huggingface.co/datasets/PianoVAM/PianoVAM_v1) · 🎬 [Live demo](https://huggingface.co/spaces/PianoVAM/PianoVAM) · 📄 [Paper](https://arxiv.org/abs/2509.08800) · 💻 [Code](https://github.com/yonghyunk1m/PianoVAM-Code)
+
+### V2N (Video to Notes)
+Visual piano transcription from silent video (ISMIR 2026).
+🎬 [Live demo](https://huggingface.co/spaces/PianoVAM/V2N) · 📄 [Paper](https://arxiv.org/abs/2608.03419) · 💻 [Code](https://github.com/yonghyunk1m/V2N)
+
+### PiaRec & ASDF
+Web toolkits for dataset acquisition and fingering annotation (ISMIR 2025 LBD).
+📄 [Paper](https://arxiv.org/abs/2509.15222)