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cs.CV2026

Strength-Parity Ensembling with Parameter-Isolated Experts for Multi-Task Affect Recognition

Tung Hung Bui, Hong Hai Nguyen, Van Thong Huynh

Leading entries on the multi-task track of the 11th ABAW challenge rely on heavy ensembling, yet which member is worth adding to an already strong ensemble is rarely made explicit.…

cs.CV2026

CF-Net: Conflict Fusion with Speaker Normalisation and Certainty Weighting for Ambivalence/Hesitancy Recognition

Tung Hung Bui, Hong Hai Nguyen, Van Thong Huynh

Detecting ambivalence and hesitancy (AH) in unconstrained video is challenging because the target signal is inherently ambiguous and expressed through subtle cross-modal incongruen…

cs.CV2026

A Shared Latent for Partially-Labeled Multi-Task Facial Affect Recognition

Hong Hai Nguyen, Sy Phan Van, Soo-Hyung Kim +1

Facial affect in the wild is naturally multi-task: valence-arousal, discrete expressions, and facial action units describe the same face. Yet real corpora annotate these tasks only…

cs.CV2026

Faithful Action-unit Causal Reasoning for Counterfactually Faithful Emotion Explanations

Van Thong Huynh, Hong Hai Nguyen, Thuy Pham +2

Multimodal models can name the action units (AUs) behind a facial emotion, but their AU->emotion rationales are typically plausible rather than faithful: nothing forces the AUs a m…

cs.CV2026

The Circumplex Degeneracy Behind the Rare-Class Limit in Affect Recognition

Van Thong Huynh, Hong Hai Nguyen, Soo-Hyung Kim

In-the-wild expression recognition persistently fails on a few rare emotions, and the standard explanation is class imbalance. Through a controlled multi-task study on two benchmar…