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20172022
most citedDenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image

30 citations · 90 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021★ 2 cited

Normal Learning in Videos with Attention Prototype Network

Chao Hu, Fan Wu, Weijie Wu +2

Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection. With models trained on the normal data, the reconstructio…

cs.CV2019

Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities

Samuel Sharpe, Jin Yan, Fan Wu +1

We present a new task of query auto-completion for estimating instance probabilities. We complete a user query prefix conditioned upon an image. Given the complete query, we fine t…

cs.CV2019★ 30 cited

DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image

Pengfei Yao, Zheng Fang, Fan Wu +2

Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data. Previous met…

cs.CV2018

Global Semantic Consistency for Zero-Shot Learning

Fan Wu, Kai Tian, Jihong Guan +1

In image recognition, there are many cases where training samples cannot cover all target classes. Zero-shot learning (ZSL) utilizes the class semantic information to classify samp…

cs.CV2017★ 11 cited

An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning

Fan Wu, Zhongwen Xu, Yi Yang

We propose an end-to-end approach to the natural language object retrieval task, which localizes an object within an image according to a natural language description, i.e., referr…