571 citations · 1.7k across the 41 of their papers we have counts for
8 papers · 1 filter
Perceiving Physical Equation by Observing Visual Scenarios
Siyu Huang, Zhi-Qi Cheng, Xi Li +3
Inferring universal laws of the environment is an important ability of human intelligence as well as a symbol of general AI. In this paper, we take a step toward this goal such tha…
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images
Yiming Wu, Wei Ji, Xi Li +3
As a fundamental and challenging problem in computer vision, hand pose estimation aims to estimate the hand joint locations from depth images. Typically, the problem is modeled as…
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
Siyu Huang, Xi Li, Zhi-Qi Cheng +2
In this work, we explore the cross-scale similarity in crowd counting scenario, in which the regions of different scales often exhibit high visual similarity. This feature is unive…
State Distribution-aware Sampling for Deep Q-learning
Weichao Li, Fuxian Huang, Xi Li +2
A critical and challenging problem in reinforcement learning is how to learn the state-action value function from the experience replay buffer and simultaneously keep sample effici…
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning
Siyu Huang, Xi Li, Zhi-Qi Cheng +2
A key problem in deep multi-attribute learning is to effectively discover the inter-attribute correlation structures. Typically, the conventional deep multi-attribute learning appr…
Multi-Channel Pyramid Person Matching Network for Person Re-Identification
Chaojie Mao, Yingming Li, Yaqing Zhang +2
In this work, we present a Multi-Channel deep convolutional Pyramid Person Matching Network (MC-PPMN) based on the combination of the semantic-components and the color-texture dist…