Qian Zhang

Orcid: 0009-0004-4123-8979

Affiliations:
  • Horizon Robotics, Beijing, China
  • Beijing Samsung Telecom Research and Development Center, China (former)
  • Alibaba Group, Beijing, China (former)
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2014)


According to our database1, Qian Zhang authored at least 79 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Restoration and enhancement on low exposure raw images by joint demosaicing and denoising.
Neural Networks, May, 2023

TinyDet: accurately detecting small objects within 1 GFLOPs.
Sci. China Inf. Sci., January, 2023

Monocular Road Planar Parallax Estimation.
IEEE Trans. Image Process., 2023

Circuit as Set of Points.
CoRR, 2023

A Vision-Centric Approach for Static Map Element Annotation.
CoRR, 2023

RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation.
CoRR, 2023

VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene.
CoRR, 2023

OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation.
CoRR, 2023

Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction.
CoRR, 2023

Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

VAD: Vectorized Scene Representation for Efficient Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ForestDet: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation.
IEEE Trans. Multim., 2022

Towards Accurate Ground Plane Normal Estimation from Ego-Motion.
Sensors, 2022

Deep momentum uncertainty hashing.
Pattern Recognit., 2022

Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.
CoRR, 2022

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
CoRR, 2022

Polar Parametrization for Vision-based Surround-View 3D Detection.
CoRR, 2022

Featurized Query R-CNN.
CoRR, 2022

Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer.
CoRR, 2022

ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.
Proceedings of the Computer Vision, 2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sparse Instance Activation for Real-Time Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation.
Proceedings of the Conference on Robot Learning, 2022

Learning Quality-Aware Representation for Multi-Person Pose Regression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AdaptivePose: Human Parts as Adaptive Points.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
High-Fidelity Face Manipulation With Extreme Poses and Expressions.
IEEE Trans. Inf. Forensics Secur., 2021

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Road-aware Monocular Structure from Motion and Homography Estimation.
CoRR, 2021

EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search.
Sci. China Inf. Sci., 2021

Handling Difficult Labels for Multi-label Image Classification via Uncertainty Distillation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Online Correction for Monocular Visual Odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021

Stacked Homography Transformations for Multi-View Pedestrian Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Aggregation for 3D Instance Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pseudo Facial Generation With Extreme Poses for Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning From Synthetic Images via Active Pseudo-Labeling.
IEEE Trans. Image Process., 2020

Unsupervised domain adaptive re-identification: Theory and practice.
Pattern Recognit., 2020

Multi-scale multi-patch person re-identification with exclusivity regularized softmax.
Neurocomputing, 2020

ResizeMix: Mixing Data with Preserved Object Information and True Labels.
CoRR, 2020

Self-Mimic Learning for Small-scale Pedestrian Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Where to Focus for Efficient Video Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AugFPN: Improving Multi-Scale Feature Learning for Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Densely Connected Search Space for More Flexible Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Motion Priors for Efficient Video Object Detection.
CoRR, 2019

VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing.
CoRR, 2019

High Fidelity Face Manipulation with Extreme Pose and Expression.
CoRR, 2019

VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Progressive Sparse Local Attention for Video Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

RENAS: Reinforced Evolutionary Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Video Object Detection with Locally-Weighted Deformable Neighbors.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.
IEEE Trans. Cybern., 2018

Joint Neural Architecture Search and Quantization.
CoRR, 2018

Reinforced Evolutionary Neural Architecture Search.
CoRR, 2018

SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Robust Dual Clustering with Adaptive Manifold Regularization.
IEEE Trans. Knowl. Data Eng., 2017

Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images.
Remote. Sens., 2017

Adaptive Manifold Regularized Matrix Factorization for Data Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Pairing Contour Fragments for Object Recognition.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Multiview clustering based on Robust and Regularized Matrix Approximation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Automatic Spatial-Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal Learning.
IEEE Trans. Geosci. Remote. Sens., 2015

Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding.
Pattern Recognit., 2015

MMFE: Multitask Multiview Feature Embedding.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote. Sens. Lett., 2014


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