11 citations · 26 across the 8 of their papers we have counts for
9 papers
CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework
Yunxiang Fu, Meng Lou, Zicheng Liao +1
Continual learning must balance the learning of new knowledge with the retention of previously learned knowledge to incrementally learn tasks from a data stream without catastrophi…
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
Ruijie Zhao, Zuopeng Tan, Xiao Xue +10
Pulmonary segment segmentation is crucial for cancer localization and surgical planning. However, the pixel-wise annotation of pulmonary segments is laborious, as the boundaries be…
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li, Guanbin Li, Hui Cheng +2
Federated learning with noisy labels (F-LNL) aims at seeking an optimal server model via collaborative distributed learning by aggregating multiple client models trained with local…
Boundary Cues for 3D Object Shape Recovery
Kevin Karsch, Zicheng Liao, Jason Rock +2
Early work in computer vision considered a host of geometric cues for both shape reconstruction and recognition. However, since then, the vision community has focused heavily on sh…
Intrinsic Image Transformation via Scale Space Decomposition
Lechao Cheng, Chengyi Zhang, Zicheng Liao
We introduce a new network structure for decomposing an image into its intrinsic albedo and shading. We treat this as an image-to-image transformation problem and explore the scale…
An Approximate Shading Model with Detail Decomposition for Object Relighting
Zicheng Liao, Kevin Karsch, Hongyi Zhang +1
We present an object relighting system that allows an artist to select an object from an image and insert it into a target scene. Through simple interactions, the system can adjust…
Structured Label Inference for Visual Understanding
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou +3
Visual data such as images and videos contain a rich source of structured semantic labels as well as a wide range of interacting components. Visual content could be assigned with f…
Piecewise Flat Embedding for Image Segmentation
Chaowei Fang, Zicheng Liao, Yizhou Yu
We introduce a new multi-dimensional nonlinear embedding -- Piecewise Flat Embedding (PFE) -- for image segmentation. Based on the theory of sparse signal recovery, piecewise flat…
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng +2
Images of scenes have various objects as well as abundant attributes, and diverse levels of visual categorization are possible. A natural image could be assigned with fine-grained…