174 citations · 711 across the 57 of their papers we have counts for
6 papers · 1 filter
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu, Alexei A. Efros, Stella X. Yu
Current major approaches to visual recognition follow an end-to-end formulation that classifies an input image into one of the pre-determined set of semantic categories. Parametric…
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability
Jakob Suchan, Mehul Bhatt, Srikrishna Vardarajan +2
We present a computational model for the semantic interpretation of symmetry in naturalistic scenes. Key features include a human-centred representation, and a declarative, explain…
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu +1
Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so. We study whether th…
Adversarial Structure Matching for Structured Prediction Tasks
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi +1
Pixel-wise losses, e.g., cross-entropy or L2, have been widely used in structured prediction tasks as a spatial extension of generic image classification or regression. However, it…
Learning Beyond Human Expertise with Generative Models for Dental Restorations
Jyh-Jing Hwang, Sergei Azernikov, Alexei A. Efros +1
Computer vision has advanced significantly that many discriminative approaches such as object recognition are now widely used in real applications. We present another exciting deve…
Adaptive Affinity Fields for Semantic Segmentation
Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu +1
Semantic segmentation has made much progress with increasingly powerful pixel-wise classifiers and incorporating structural priors via Conditional Random Fields (CRF) or Generative…