Can Qin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Domain Adaptation

Probabilistic Matrix Factorization

Top Venues

IEEE Trans. Image Process.

Publications

Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong
MuseumMaker: Continual Style Customization without Catastrophic Forgetting. CoRR (2024)
Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. AAAI (2024)
Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR (2024)
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR (2024)
Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
Image as Set of Points. ICLR (2023)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR (2023)
Haichao Zhang, Can Qin, Yu Yin, Yun Fu
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection. CoRR (2023)
Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV (2023)
Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CVPR (2023)
Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CoRR (2023)
Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
Making Reconstruction-based Method Great Again for Video Anomaly Detection. CoRR (2023)
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR (2023)
Jinghong Peng, Jun Zhou, Guangchuan Liang, Can Qin, Cao Peng, YuLin Chen, Chengqiang Hu
Global layout optimization of star-tree gas gathering pipeline network via an improved genetic optimization algorithm. J. Intell. Fuzzy Syst. 44 (2) (2023)
Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu
Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM (2023)
Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR (2023)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS (2023)
Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. IEEE Trans. Image Process. 32 (2023)
Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
Image as Set of Points. CoRR (2023)
Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Can Qin
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking. CoRR (2023)
Huan Wang, Can Qin, Yue Bai, Yun Fu
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning. CoRR (2023)
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD (2022)
Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. ICLR (2022)
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. 31 (2022)
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. CIKM (2022)
Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI (2022)
Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu
A Close Look at Spatial Modeling: From Attention to Convolution. CoRR (2022)
Can Qin, Yizhou Wang, Yun Fu
Robust Semi-supervised Domain Adaptation against Noisy Labels. CIKM (2022)
Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu
Recent Advances on Neural Network Pruning at Initialization. IJCAI (2022)
Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
Making Reconstruction-based Method Great Again for Video Anomaly Detection. ICDM (2022)
Yulun Zhang, Huan Wang, Can Qin, Yun Fu
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR (2022)
Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. CoRR (2022)
Yulun Zhang, Huan Wang, Can Qin, Yun Fu
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS (2021)
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
Semi-supervised Domain Adaptive Structure Learning. CoRR (2021)
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
P: Self-supervised Anomaly Detection with Adversarial Perturbation. CoRR (2021)
Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG (2021)
Lichen Wang, Yunyu Liu, Hang Di, Can Qin, Gan Sun, Yun Fu
Semi-Supervised Dual Relation Learning for Multi-Label Classification. IEEE Trans. Image Process. 30 (2021)
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
Neural Pruning via Growing Regularization. ICLR (2021)
Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR (2021)
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
Emerging Paradigms of Neural Network Pruning. CoRR (2021)
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
Contradictory Structure Learning for Semi-supervised Domain Adaptation. SDM (2021)
Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS (2021)
Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. ACM Multimedia (2021)
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM (2021)
Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu
Context Reasoning Attention Network for Image Super-Resolution. ICCV (2021)
Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR (2021)
Huan Wang, Can Qin, Yue Bai, Yun Fu
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. CoRR (2021)
Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. CoRR (2021)
Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu
Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. ECCV (14) (2020)
Changyu Deng, Can Qin, Wei Lu
Deep-Learning-Enabled Simulated Annealing for Topology Optimization. CoRR (2020)
Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. CoRR (2020)
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
Opposite Structure Learning for Semi-supervised Domain Adaptation. CoRR (2020)
Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner
Face Recognition: Too Bias, or Not Too Bias? CoRR (2020)
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
Neural Pruning via Growing Regularization. CoRR (2020)
Yue Wu, Guifeng Mu, Can Qin, Qiguang Miao, Wenping Ma, Xiangrong Zhang
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training. Remote. Sens. 12 (1) (2020)
Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu
Dual Relation Semi-Supervised Multi-Label Learning. AAAI (2020)
Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner
Face Recognition: Too Bias, or Not Too Bias? CVPR Workshops (2020)
Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. CoRR (2019)
Can Qin, Lichen Wang, Yulun Zhang, Yun Fu
Generatively Inferential Co-Training for Unsupervised Domain Adaptation. ICCV Workshops (2019)
Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. NeurIPS (2019)
Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang
Efficient Scene Labeling via Sparse Annotations. AAAI Workshops (2018)
Wenping Ma, Yue Wu, Maoguo Gong, Can Qin, Shanfeng Wang
Local Probabilistic Matrix Factorization for Personal Recommendation. CIS (2017)
Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang
A Multi-objective Framework for Location Recommendation Based on User Preference. CIS (2017)