activity
20182023
most citedKnowledge-Embedded Representation Learning for Fine-Grained Image Recognition

10 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Multi-object Video Generation from Single Frame Layouts

Yang Wu, Zhibin Liu, Hefeng Wu +1

In this paper, we study video synthesis with emphasis on simplifying the generation conditions. Most existing video synthesis models or datasets are designed to address complex mot…

cs.CV2021

Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation

Yang Wu, Shirui Feng, Guanbin Li +1

An embodied task such as embodied question answering (EmbodiedQA), requires an agent to explore the environment and collect clues to answer a given question that related with speci…

cs.CV2019

A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models

Yang Wu, Pengxu Wei, Liang Lin

In this paper, we propose a novel numerical scheme to optimize the gradient flows for learning energy-based models (EBMs). From a perspective of physical simulation, we redefine th…

cs.LG2019

FRAME Revisited: An Interpretation View Based on Particle Evolution

Xu Cai, Yang Wu, Guanbin Li +2

FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based descriptive model that synthesizes visual realism by capturing mutual patterns from structural input signals.…

cs.CV2018★ 10 cited

Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition

Tianshui Chen, Liang Lin, Riquan Chen +2

Humans can naturally understand an image in depth with the aid of rich knowledge accumulated from daily lives or professions. For example, to achieve fine-grained image recognition…