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Can Qin
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2020 – today
- 2024
- [j7]Yizhou Wang
, Can Qin
SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. IEEE Trans. Knowl. Data Eng. 36(12): 9282-9293 (2024) - [c33]Jiaming Liu, Yue Wu
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. AAAI 2024: 3630-3638 - [c32]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. CVPR 2024: 9026-9036 - [c31]Guohao Sun
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. ECCV (9) 2024: 156-172 - [c30]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP 2024: 20052-20060 - [i30]Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao:
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR abs/2403.11299 (2024) - [i29]Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong:
MuseumMaker: Continual Style Customization without Catastrophic Forgetting. CoRR abs/2404.16612 (2024) - [i28]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR abs/2406.19973 (2024) - [i27]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i26]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i25]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - 2023
- [j6]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): 2655-2672 (2023) - [j5]Huan Wang
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023) - [j4]Joseph P. Robinson
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. IEEE Trans. Image Process. 32: 4365-4377 (2023) - [c29]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: 23539-23549 - [c28]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: 23028-23039 - [c27]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: 1385-1390 - [c26]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. ICLR 2023 - [c25]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 - [i24]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 abs/2301.05219 (2023) - [i23]Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. CoRR abs/2301.12048 (2023) - [i22]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. CoRR abs/2303.01494 (2023) - [i21]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 abs/2303.09618 (2023) - [i20]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 abs/2303.10056 (2023) - [i19]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 abs/2303.16891 (2023) - [i18]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 abs/2305.11147 (2023) - [i17]Haichao Zhang, Can Qin, Yu Yin, Yun Fu:
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection. CoRR abs/2308.06701 (2023) - [i16]Jiaming Liu, Yue Wu
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking. CoRR abs/2312.06117 (2023) - 2022
- [j3]Can Qin
Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. 31: 7179-7190 (2022) - [c24]Can Qin, Yizhou Wang, Yun Fu:
Robust Semi-supervised Domain Adaptation against Noisy Labels. CIKM 2022: 4409-4413 - [c23]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: 4555-4559 - [c22]Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. ICDM 2022: 1215-1220 - [c21]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 - [c20]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c19]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: 3636-3642 - [c18]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c17]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: 1401-1409 - [i15]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 abs/2202.07123 (2022) - [i14]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 abs/2212.12552 (2022) - 2021
- [j2]Lichen Wang
Semi-Supervised Dual Relation Learning for Multi-Label Classification. IEEE Trans. Image Process. 30: 9125-9135 (2021) - [c16]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: 1-7 - [c15]Yulun Zhang
Context Reasoning Attention Network for Image Super-Resolution. ICCV 2021: 4258-4267 - [c14]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: 1391-1396 - [c13]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. ICLR 2021 - [c12]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: 1609-1617 - [c11]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS 2021: 2695-2706 - [c10]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: 14110-14121 - [c9]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin
Contradictory Structure Learning for Semi-supervised Domain Adaptation. SDM 2021: 576-584 - [i13]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Emerging Paradigms of Neural Network Pruning. CoRR abs/2103.06460 (2021) - [i12]Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu:
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. CoRR abs/2103.09118 (2021) - [i11]Huan Wang, Can Qin, Yue Bai, Yun Fu:
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. CoRR abs/2105.05916 (2021) - [i10]Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu:
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR abs/2106.11514 (2021) - [i9]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 abs/2111.00598 (2021) - [i8]Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation. CoRR abs/2111.12896 (2021) - [i7]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-supervised Domain Adaptive Structure Learning. CoRR abs/2112.06161 (2021) - 2020
- [j1]Yue Wu
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training. Remote. Sens. 12(1): 159 (2020) - [c8]Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu:
Dual Relation Semi-Supervised Multi-Label Learning. AAAI 2020: 6227-6234 - [c7]Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner:
Face Recognition: Too Bias, or Not Too Bias? CVPR Workshops 2020: 1-10 - [c6]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: 318-334 - [i6]Changyu Deng
Deep-Learning-Enabled Simulated Annealing for Topology Optimization. CoRR abs/2002.01927 (2020) - [i5]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Opposite Structure Learning for Semi-supervised Domain Adaptation. CoRR abs/2002.02545 (2020) - [i4]Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner:
Face Recognition: Too Bias, or Not Too Bias? CoRR abs/2002.06483 (2020) - [i3]Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu:
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. CoRR abs/2012.04111 (2020) - [i2]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. CoRR abs/2012.09243 (2020)
2010 – 2019
- 2019
- [c5]Can Qin, Lichen Wang, Yulun Zhang
Generatively Inferential Co-Training for Unsupervised Domain Adaptation. ICCV Workshops 2019: 1055-1064 - [c4]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: 7190-7201 - [i1]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 abs/1911.02744 (2019) - 2018
- [c3]Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang:
Efficient Scene Labeling via Sparse Annotations. AAAI Workshops 2018: 194-201 - 2017
- [c2]Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang:
A Multi-objective Framework for Location Recommendation Based on User Preference. CIS 2017: 39-43 - [c1]Wenping Ma, Yue Wu
Local Probabilistic Matrix Factorization for Personal Recommendation. CIS 2017: 97-101
Coauthor Index
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last updated on 2024-12-29 01:25 CET by the dblp team
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