Can Qin

About Can Qin

Can Qin, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at North Eastern University, specializes in the field of Computer Vision, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking

Balancing biases and preserving privacy on balanced faces in the wild

Unicontrol: A unified diffusion model for controllable visual generation in the wild

Global aligned structured sparsity learning for efficient image super-resolution

Hive: Harnessing human feedback for instructional visual editing

Image as set of points

Why is the state of neural network pruning so confusing? on the fairness, comparison setup, and trainability in network pruning

Unveiling the Power of Transfer Learning Towards Efficient Artificial Intelligence

Can Qin Information

University

Position

___

Citations(all)

1454

Citations(since 2020)

1454

Cited By

105

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Can Qin Skills & Research Interests

Computer Vision

Machine Learning

Deep Learning

Top articles of Can Qin

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Balancing biases and preserving privacy on balanced faces in the wild

IEEE Transactions on Image Processing

2023/7/19

Can Qin
Can Qin

H-Index: 7

Global aligned structured sparsity learning for efficient image super-resolution

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/4/20

Image as set of points

ICLR'23, code: https://github.com/ma-xu/Context-Cluster

2023/3/2

Why is the state of neural network pruning so confusing? on the fairness, comparison setup, and trainability in network pruning

arXiv preprint arXiv:2301.05219

2023/1/12

Unveiling the Power of Transfer Learning Towards Efficient Artificial Intelligence

2023

Can Qin
Can Qin

H-Index: 7

Mask-free ovis: Open-vocabulary instance segmentation without manual mask annotations

2023/6/18

Gluegen: Plug and play multi-modal encoders for x-to-image generation

2023/10/2

Momentum is All You Need for Data-Driven Adaptive Optimization

2023/12/1

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection

arXiv preprint arXiv:2308.06701

2023/8/13

Can Qin
Can Qin

H-Index: 7

Yu Yin
Yu Yin

H-Index: 6

A close look at spatial modeling: From attention to convolution

arXiv preprint arXiv:2212.12552

2022/12/23

Making reconstruction-based method great again for video anomaly detection

2022/11/28

Semi-supervised domain adaptive structure learning

IEEE Transactions on Image Processing

2022/11/9

Robust semi-supervised domain adaptation against noisy labels

2022/10/17

Can Qin
Can Qin

H-Index: 7

Yizhou Wang
Yizhou Wang

H-Index: 9

Self-supervision meets adversarial perturbation: A novel framework for anomaly detection

2022/10/17

A Close Look at Token Mixer: From Attention to Convolution

2022/9/29

The Plug and Play of Language Models for Text-to-image Generation

2022/9/29

Examining the Value of Neural Filter Pruning--Retrospect and Prospect

2022/9/29

See List of Professors in Can Qin University(North Eastern University)