18 citations · 57 across the 13 of their papers we have counts for
17 papers
Unsupervised Superpixel Generation using Edge-Sparse Embedding
Jakob Geusen, Gustav Bredell, Tianfei Zhou +1
Partitioning an image into superpixels based on the similarity of pixels with respect to features such as colour or spatial location can significantly reduce data complexity and im…
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou, Wenguan Wang, Ender Konukoglu +1
Prevalent semantic segmentation solutions, despite their different network designs (FCN based or attention based) and mask decoding strategies (parametric softmax based or pixel-qu…
Deep Hierarchical Semantic Segmentation
Liulei Li, Tianfei Zhou, Wenguan Wang +2
Humans are able to recognize structured relations in observation, allowing us to decompose complex scenes into simpler parts and abstract the visual world in multiple levels. Howev…
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Liulei Li, Tianfei Zhou, Wenguan Wang +3
Our target is to learn visual correspondence from unlabeled videos. We develop LIIR, a locality-aware inter-and intra-video reconstruction framework that fills in three missing pie…
Visual Abductive Reasoning
Chen Liang, Wenguan Wang, Tianfei Zhou +1
Abductive reasoning seeks the likeliest possible explanation for partial observations. Although abduction is frequently employed in human daily reasoning, it is rarely explored in…
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Tianfei Zhou, Meijie Zhang, Fang Zhao +1
Learning semantic segmentation from weakly-labeled (e.g., image tags only) data is challenging since it is hard to infer dense object regions from sparse semantic tags. Despite bei…