most citedMitigating Test-Time Bias for Fair Image Retrieval

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

collaborators

5 papers

cs.CV20231 cited

UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation

Shuai Yuan, Carlo Tomasi

Both optical flow and stereo disparities are image matches and can therefore benefit from joint training. Depth and 3D motion provide geometric rather than photometric information…

cs.CV20233 cited

Mitigating Test-Time Bias for Fair Image Retrieval

Fanjie Kong, Shuai Yuan, Weituo Hao +1

We address the challenge of generating fair and unbiased image retrieval results given neutral textual queries (with no explicit gender or race connotations), while maintaining the…

cs.RO2023

ERRA: An Embodied Representation and Reasoning Architecture for Long-horizon Language-conditioned Manipulation Tasks

Chao Zhao, Shuai Yuan, Chunli Jiang +4

This letter introduces ERRA, an embodied learning architecture that enables robots to jointly obtain three fundamental capabilities (reasoning, planning, and interaction) for solvi…

cs.CV20221 cited

Unsupervised Flow Refinement near Motion Boundaries

Shuzhi Yu, Hannah Halin Kim, Shuai Yuan +1

Unsupervised optical flow estimators based on deep learning have attracted increasing attention due to the cost and difficulty of annotating for ground truth. Although performance…

cs.CV2022

Cross-Attention Transformer for Video Interpolation

Hannah Halin Kim, Shuzhi Yu, Shuai Yuan +1

We propose TAIN (Transformers and Attention for video INterpolation), a residual neural network for video interpolation, which aims to interpolate an intermediate frame given two c…