131 citations · 215 across the 13 of their papers we have counts for
15 papers · 1 filter
Center Contrastive Loss for Metric Learning
Bolun Cai, Pengfei Xiong, Shangxuan Tian
Contrastive learning is a major studied topic in metric learning. However, sampling effective contrastive pairs remains a challenge due to factors such as limited batch size, imbal…
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Junpeng Jing, Jiankun Li, Pengfei Xiong +7
Correlation based stereo matching has achieved outstanding performance, which pursues cost volume between two feature maps. Unfortunately, current methods with a fixed model do not…
Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
Ze Lu, Yalei Lv, Wenqi Wang +1
Deep generative approaches have obtained great success in image inpainting recently. However, most generative inpainting networks suffer from either over-smooth results or aliasing…
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Peng Jin, Jinfa Huang, Pengfei Xiong +5
Contrastive learning-based video-language representation learning approaches, e.g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined…
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Yizhi Wang, Guo Pu, Wenhan Luo +4
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few…
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
Zihua Zheng, Ni Nie, Zhi Ling +4
Recently, the dense correlation volume method achieves state-of-the-art performance in optical flow. However, the correlation volume computation requires a lot of memory, which mak…