activity
20162023
most citedMultiple-Human Parsing in the Wild

57 citations · 164 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 13 cited

-Nets: Double Attention Networks

Yunpeng Chen, Yannis Kalantidis, Jianshu Li +2

Learning to capture long-range relations is fundamental to image/video recognition. Existing CNN models generally rely on increasing depth to model such relations which is highly i…

cs.CV2018★ 11 cited

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Jian Zhao, Yu Cheng, Yi Cheng +12

Despite the remarkable progress in face recognition related technologies, reliably recognizing faces across ages still remains a big challenge. The appearance of a human face chang…

cs.CV2018★ 14 cited

Object Relation Detection Based on One-shot Learning

Li Zhou, Jian Zhao, Jianshu Li +2

Detecting the relations among objects, such as "cat on sofa" and "person ride horse", is a crucial task in image understanding, and beneficial to bridging the semantic gap between…

cs.CV2018★ 13 cited

Multi-Fiber Networks for Video Recognition

Yunpeng Chen, Yannis Kalantidis, Jianshu Li +2

In this paper, we aim to reduce the computational cost of spatio-temporal deep neural networks, making them run as fast as their 2D counterparts while preserving state-of-the-art a…

cs.CV2018

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing

Jian Zhao, Jianshu Li, Yu Cheng +4

Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding huma…