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Phrase-Instance Alignment for Generalized Referring Segmentation
E-Ro Nguyen, Hieu Le, Dimitris Samaras +1
Generalized Referring expressions can describe one object, several related objects, or none at all. Existing generalized referring segmentation (GRES) models treat all cases alike,…
Shadow Removal Refinement via Material-Consistent Shadow Edges
Shilin Hu, Hieu Le, ShahRukh Athar +2
Shadow boundaries can be confused with material boundaries as both exhibit sharp changes in luminance or contrast within a scene. However, shadows do not modify the intrinsic color…
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu, Hieu Le, Dimitris Samaras
Advances in generative models increase the need for sample quality assessment. To do so, previous methods rely on a pre-trained feature extractor to embed the generated samples and…
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
Semi-supervised semantic segmentation methods leverage unlabeled data by pseudo-labeling them. Thus the success of these methods hinges on the reliablility of the pseudo-labels. Ex…
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
Prantik Howlader, Srijan Das, Hieu Le +1
Incorporating pixel contextual information is critical for accurate segmentation. In this paper, we show that an effective way to incorporate contextual information is through a pa…
Learning Relighting and Intrinsic Decomposition in Neural Radiance Fields
Yixiong Yang, Shilin Hu, Haoyu Wu +3
The task of extracting intrinsic components, such as reflectance and shading, from neural radiance fields is of growing interest. However, current methods largely focus on syntheti…