activity
20212024
most citedVideo as Conditional Graph Hierarchy for Multi-Granular Question Answering

16 citations · 41 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2024

Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment

Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian +1

Procedural activity videos often exhibit a long-tailed action distribution due to varying action frequencies and durations. However, state-of-the-art temporal action segmentation m…

cs.CV2024

RealViformer: Investigating Attention for Real-World Video Super-Resolution

Yuehan Zhang, Angela Yao

In real-world video super-resolution (VSR), videos suffer from in-the-wild degradations and artifacts. VSR methods, especially recurrent ones, tend to propagate artifacts over time…

eess.IV2024

Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution

Yuehan Zhang, Seungjun Lee, Angela Yao

Standard single-image super-resolution creates paired training data from high-resolution images through fixed downsampling kernels. However, real-world super-resolution (RWSR) face…

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.CV20231 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…

cs.CV20232 cited

Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement

Kai Xu, Rongyu Chen, Gianni Franchi +1

The capacity of a modern deep learning system to determine if a sample falls within its realm of knowledge is fundamental and important. In this paper, we offer insights and analys…