activity
20172023
most citedLearning Context Graph for Person Search

8 citations · 20 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 1 cited

MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System

Wendong Zhang

Object detection has been extensively utilized in autonomous systems in recent years, encompassing both 2D and 3D object detection. Recent research in this field has primarily cent…

cs.CV2023★ 2 cited

Improving Masked Autoencoders by Learning Where to Mask

Haijian Chen, Wendong Zhang, Yunbo Wang +1

Masked image modeling is a promising self-supervised learning method for visual data. It is typically built upon image patches with random masks, which largely ignores the variatio…

cs.LG2023

Continual Visual Reinforcement Learning with A Life-Long World Model

Minting Pan, Wendong Zhang, Geng Chen +4

Learning physical dynamics in a series of non-stationary environments is a challenging but essential task for model-based reinforcement learning (MBRL) with visual inputs. It requi…

cs.CV2022

Continual Predictive Learning from Videos

Geng Chen, Wendong Zhang, Han Lu +4

Predictive learning ideally builds the world model of physical processes in one or more given environments. Typical setups assume that we can collect data from all environments at…

cs.CV2021★ 2 cited

Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid

Wendong Zhang, Yunbo Wang, Bingbing Ni +1

Restoring reasonable and realistic content for arbitrary missing regions in images is an important yet challenging task. Although recent image inpainting models have made significa…

cs.CV2021★ 3 cited

Context-Aware Image Inpainting with Learned Semantic Priors

Wendong Zhang, Junwei Zhu, Ying Tai +5

Recent advances in image inpainting have shown impressive results for generating plausible visual details on rather simple backgrounds. However, for complex scenes, it is still cha…

cs.CV2019★ 8 cited

Learning Context Graph for Person Search

Yichao Yan, Qiang Zhang, Bingbing Ni +3

Person re-identification has achieved great progress with deep convolutional neural networks. However, most previous methods focus on learning individual appearance feature embeddi…

cs.CV2017★ 1 cited

Skeleton-aided Articulated Motion Generation

Yichao Yan, Jingwei Xu, Bingbing Ni +1

This work make the first attempt to generate articulated human motion sequence from a single image. On the one hand, we utilize paired inputs including human skeleton information a…

cs.CV2017★ 3 cited

Depth Structure Preserving Scene Image Generation

Wendong Zhang, Bingbing Ni, Yichao Yan +2

Key to automatically generate natural scene images is to properly arrange among various spatial elements, especially in the depth direction. To this end, we introduce a novel depth…