3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Frozen History: When Temporal Losses Stop Accumulation in Learned Real-Time Supersampling
Hao Yu, Guoying Zhao
Learned real-time supersampling accumulates jittered low-resolution samples along motion vectors. Many methods use a temporal consistency loss to reduce flicker. We show that with…
Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency
Hao Yu, Haoyu Chen, Yan Jiang +4
Self-attention (SA) has become the cornerstone of modern vision backbones for its powerful expressivity over traditional Convolutions (Conv). However, its quadratic complexity rema…
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
Yan Jiang, Hao Yu, Mengting Wei +4
Aiming to match pedestrian images captured under varying lighting conditions, visible-infrared person re-identification (VI-ReID) has drawn intensive research attention and achieve…
Modality Unifying Network for Visible-Infrared Person Re-Identification
Hao Yu, Xu Cheng, Wei Peng +2
Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-modality discrepancies and intra-class variations. Existing methods mainly focus on lea…