Update README.md

README.md

@@ -20,6 +20,10 @@ rectified-flow head over the joint 22-dimensional affect vector.
 Code, training scripts, and the full 28-experiment ablation study:
 **[github.com/Bekhouche/AffectFlow-DINO](https://github.com/Bekhouche/AffectFlow-DINO)**.
 
+**Paper:** [AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional
+Rectified Flow](https://arxiv.org/abs/2607.13250) — Salah Eddine Bekhouche, Abdellah Zakaria
+Sellam, Fadi Dornaika, Abdenour Hadid. arXiv:2607.13250, 2026.
+
 ## Quickstart
 
 ```bash
@@ -36,14 +40,14 @@ applicable, `au_thresholds.json` and/or `expr_weights.json` post-hoc calibration
 
 | Folder | Backbone | Best decode | P_MTL (calibrated) | P_VA | P_EXPR | P_AU |
 |---|---|---|---|---|---|---|
-| `finetune-flow-retune-b10` | ViT-S/16, fine-tuned | Det | **1.177** | 0.325 | 0.350 | 0.502 |
-| `vitb-finetune` | ViT-B/16, fine-tuned | Det | 1.116 | 0.354 | 0.255 | 0.507 |
-| `finetune-flow-retune-b05` | ViT-S/16, fine-tuned | Det / Flow | 1.062 / 0.956 | 0.291 | 0.303 | 0.469 |
-| `finetune` | ViT-S/16, fine-tuned | Det | 1.101 | 0.318 | 0.285 | 0.497 |
-| `au-posw-cw` | ViT-S/16, frozen | Det | 0.890 (no cal.) | 0.211 | 0.240 | 0.439 |
-| `psp` | ViT-S/16, frozen (patch soft-pool) | Det | 0.859 (no cal.) | 0.235 | 0.236 | 0.389 |
-| `affectflow-base` | ViT-S/16, frozen | Flow | 0.888 | 0.237 | 0.210 | 0.441 |
-| `det-baseline` | ViT-S/16, frozen | Det | 0.793 (no cal.) | 0.199 | 0.216 | 0.378 |
+| [`finetune-flow-retune-b10`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/finetune-flow-retune-b10) | ViT-S/16, fine-tuned | Det | **1.177** | 0.325 | 0.350 | 0.502 |
+| [`vitb-finetune`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/vitb-finetune) | ViT-B/16, fine-tuned | Det | 1.116 | 0.354 | 0.255 | 0.507 |
+| [`finetune-flow-retune-b05`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/finetune-flow-retune-b05) | ViT-S/16, fine-tuned | Det / Flow | 1.062 / 0.956 | 0.291 | 0.303 | 0.469 |
+| [`finetune`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/finetune) | ViT-S/16, fine-tuned | Det | 1.101 | 0.318 | 0.285 | 0.497 |
+| [`au-posw-cw`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/au-posw-cw) | ViT-S/16, frozen | Det | 0.890 (no cal.) | 0.211 | 0.240 | 0.439 |
+| [`psp`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/psp) | ViT-S/16, frozen (patch soft-pool) | Det | 0.859 (no cal.) | 0.235 | 0.236 | 0.389 |
+| [`affectflow-base`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/affectflow-base) | ViT-S/16, frozen | Flow | 0.888 | 0.237 | 0.210 | 0.441 |
+| [`det-baseline`](https://huggingface.co/Bekhouche/AffectFlow-DINO/tree/main/det-baseline) | ViT-S/16, frozen | Det | 0.793 (no cal.) | 0.199 | 0.216 | 0.378 |
 
 `P_MTL = P_VA + P_EXPR + P_AU` is the official ABAW MTL composite metric (P_VA = mean CCC of
 valence/arousal, P_EXPR = expression macro-F1, P_AU = mean AU F1), evaluated on the s-Aff-Wild2
@@ -74,11 +78,11 @@ treat outputs as research signals, not clinical or high-stakes decisions.
 ## Citation
 
 ```bibtex
-@inproceedings{affectflowdino2026,
-  title     = {AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow},
-  author    = {Bekhouche, Salah},
-  booktitle = {11th Workshop on Affective Behavior Analysis in-the-wild (ABAW), ECCV},
-  year      = {2026}
+@article{bekhouche2026affectflowdino,
+  title         = {AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow},
+  author        = {Bekhouche, Salah Eddine and Sellam, Abdellah Zakaria and Dornaika, Fadi and Hadid, Abdenour},
+  journal       = {arXiv preprint arXiv:2607.13250},
+  year          = {2026}
 }
 ```