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20232026
most citedDeep Imbalanced Regression via Hierarchical Classification Adjustment

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV2026

Adaptive Latent Trajectory Anchoring for Action Segmentation Dataset Condensation

Artheme Gauthier-Villar, Guodong Ding, Angela Yao

Dataset condensation for action segmentation synthesizes compact, informative representations of long, untrimmed video datasets. The existing approach relies on Variational Autoenc…

cs.CV2025

Condensing Action Segmentation Datasets via Generative Network Inversion

Guodong Ding, Rongyu Chen, Angela Yao

This work presents the first condensation approach for procedural video datasets used in temporal action segmentation. We propose a condensation framework that leverages generative…

cs.CV2024

OnlineTAS: An Online Baseline for Temporal Action Segmentation

Qing Zhong, Guodong Ding, Angela Yao

Temporal context plays a significant role in temporal action segmentation. In an offline setting, the context is typically captured by the segmentation network after observing the…

cs.CV2024

Coherent Temporal Synthesis for Incremental Action Segmentation

Guodong Ding, Hans Golong, Angela Yao

Data replay is a successful incremental learning technique for images. It prevents catastrophic forgetting by keeping a reservoir of previous data, original or synthesized, to ensu…

cs.CV2023★ 1 cited

Deep Imbalanced Regression via Hierarchical Classification Adjustment

Haipeng Xiong, Angela Yao

Regression tasks in computer vision, such as age estimation or counting, are often formulated into classification by quantizing the target space into classes. Yet real-world data i…