Chunluan Zhou
Scholar

Chunluan Zhou

Google Scholar ID: L2AMIaoAAAAJ
Nanyang Technological University
computer visiondeep learningobject detectionpedestrian detection
Citations & Impact
All-time
Citations
1,597
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - SOAR: Scene-debiasing Open-set Action Recognition, ICCV, 2023
  • - Cyclic Self-Training with Proposal Weight Modulation for Cross-Supervised Object Detection, TIP, 2023
  • - Generalized Relation Modelling for Transformer Tracking, CVPR, 2023
  • - AiATrack: Attention in Attention for Transformer Visual Tracking, ECCV, 2022
  • - Distilling Inter-Class Distance for Semantic Segmentation, IJCAI, 2022 (Oral)
  • - Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking, CVPR, 2021
  • - Pyramidal Multiple Instance Detection Network with Mask Guided Self-correction for Weakly Supervised Object Detection, TIP, 2021
  • - Self-Mimic Learning for Small-scale Pedestrian Detection, ACM MM, 2020
  • - Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking, ECCV, 2020
  • - Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians, CVPR, 2020
  • - Detecting Spatiotemporal Irregularities in Videos via a 3D Convolutional Autoencoder, JVCIR, 2020
  • - Discriminative Feature Transformation for Occluded Pedestrian Detection, ICCV, 2019
  • - Attention to Head Locations for Crowd Counting, ICIG, 2019
  • - Occlusion Pattern Discovery for Object Detection and Occlusion Reasoning, TCSVT, 2019
  • - Multi-label Learning of Part Detectors for Occluded Pedestrian Detection, PR, 2019
  • - A Scale Adaptive Network for Crowd Counting, Neurocomputing, 2019
  • - Multi-resolution Attention Convolutional Neural Network for Crowd Counting, Neurocomputing, 2019
  • - Bi-box Regression for Pedestrian Detection and Occlusion Estimation, ECCV, 2018
  • - Actor-Action Semantic Segmentation with Region Masks, BMVC, 2018
  • - Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection, ICCV, 2017
  • - Learning to Integrate Occlusion-specific Detectors for Heavily Occluded Pedestrian Detection, ACCV, 2016
  • - Non-rectangular Part Discovery for Object Detection, BMVC, 2014
  • - Arbitrary-shape Object Localization using Adaptive Image Grids, ACCV, 2012
Research Experience
  • Published multiple papers in top international conferences and journals, covering various research directions in computer vision and deep learning.
Education
  • - PhD, Nanyang Technological University, Singapore, Advisors: Prof. Junsong Yuan, Prof. Kai-Kuang Ma
  • - M.Eng, Zhejiang University
  • - B.Eng, Harbin Institute of Technology
Background
  • Research interests include computer vision and deep learning.
Miscellany
  • Reviewer for several international journals and conferences, including TIP, TCSVT, TMM, TCYB, TNNLS, PR, Neurocomputing, TCVA, TVCJ, TIIS, Advances in Multimedia, CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACM MM, AAAI, WACV, BMVC, ICME, ICIP, PR.