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20192023
most citedSemi-supervised Domain Adaptive Structure Learning

30 citations · 109 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 9 cited

Collaborative Attention Mechanism for Multi-View Action Recognition

Yue Bai, Zhiqiang Tao, Lichen Wang +3

Multi-view action recognition (MVAR) leverages complementary temporal information from different views to improve the learning performance. Obtaining informative view-specific repr…

cs.CV2020★ 23 cited

Families In Wild Multimedia: A Multimodal Database for Recognizing Kinship

Joseph P. Robinson, Zaid Khan, Yu Yin +2

Kinship, a soft biometric detectable in media, is fundamental for a myriad of use-cases. Despite the difficulty of detecting kinship, annual data challenges using still-images have…

cs.CV2020★ 5 cited

Dual-Attention GAN for Large-Pose Face Frontalization

Yu Yin, Songyao Jiang, Joseph P. Robinson +1

Face frontalization provides an effective and efficient way for face data augmentation and further improves the face recognition performance in extreme pose scenario. Despite recen…

cs.CV2020★ 27 cited

Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

Joseph P. Robinson, Yu Yin, Zaid Khan +7

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much…

cs.CV2020★ 3 cited

Contradictory Structure Learning for Semi-supervised Domain Adaptation

Can Qin, Lichen Wang, Qianqian Ma +3

Current adversarial adaptation methods attempt to align the cross-domain features, whereas two challenges remain unsolved: 1) the conditional distribution mismatch and 2) the bias…