activity
20152022
most citedThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

105 citations · 350 across the 26 of their papers we have counts for

collaborators

40 papers

cs.CV2022

The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge

Yuang Zhang, Tiancai Wang, Weiyao Lin +1

We present our 1st place solution to the Group Dance Multiple People Tracking Challenge. Based on MOTR: End-to-End Multiple-Object Tracking with Transformer, we explore: 1) detect…

cs.CV20225 cited

FRIH: Fine-grained Region-aware Image Harmonization

Jinlong Peng, Zekun Luo, Liang Liu +6

Image harmonization aims to generate a more realistic appearance of foreground and background for a composite image. Existing methods perform the same harmonization process for the…

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.CV2021

Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization

Rui Qian, Yuxi Li, Huabin Liu +5

The crux of self-supervised video representation learning is to build general features from unlabeled videos. However, most recent works have mainly focused on high-level semantics…

cs.CV2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking

Jinlong Peng, Zhengkai Jiang, Yueyang Gu +5

Recently, most siamese network based trackers locate targets via object classification and bounding-box regression. Generally, they select the bounding-box with maximum classificat…

cs.CV20211 cited

Variational Pedestrian Detection

Yuang Zhang, Huanyu He, Jianguo Li +3

Pedestrian detection in a crowd is a challenging task due to a high number of mutually-occluding human instances, which brings ambiguity and optimization difficulties to the curren…