activity
20182022
most citedFast Learning of Temporal Action Proposal via Dense Boundary Generator

15 citations · 20 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2022

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

Jiangning Zhang, Chao Xu, Jian Li +4

In the practical application of restoring low-resolution gray-scale images, we generally need to run three separate processes of image colorization, super-resolution, and dows-samp…

cs.CV20211 cited

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

Yuxi Li, Boshen Zhang, Jian Li +5

In this paper, we place the atomic action detection problem into a Long-Short Term Context (LSTC) to analyze how the temporal reliance among video signals affect the action detecti…

cs.CV2020

ASFD: Automatic and Scalable Face Detector

Bin Zhang, Jian Li, Yabiao Wang +7

In this paper, we propose a novel Automatic and Scalable Face Detector (ASFD), which is based on a combination of neural architecture search techniques as well as a new loss design…

cs.CV201915 cited

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Chuming Lin, Jian Li, Yabiao Wang +7

Generating temporal action proposals remains a very challenging problem, where the main issue lies in predicting precise temporal proposal boundaries and reliable action confidence…

cs.CV20194 cited

Anti-Confusing: Region-Aware Network for Human Pose Estimation

Xuan Cao, Yanhao Ge, Ying Tai +5

In this work, we propose a novel framework named Region-Aware Network (RANet), which learns the ability of anti-confusing in case of heavy occlusion, nearby person and symmetric ap…

stat.ML2019

Robust Variational Autoencoder

Haleh Akrami, Anand A. Joshi, Jian Li +2

Machine learning methods often need a large amount of labeled training data. Since the training data is assumed to be the ground truth, outliers can severely degrade learned repres…