Recent Publications
2024
Conference
Don’t Judge by the Look: A Motion Coherent Augmentation for Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu
ICLR 2024
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Efficient Modulation for Vision Networks
Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan
ICLR 2024
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Scala: Scalable Representation Learning for Vision Transformer
Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Stephen Xi Chen, Derek Hao Hu, Yun Fu
NeurIPS 2024
Selective Prediction For Open-Ended Question Answering in BlackBox Vision-Language Models
Zaid Khan, Yun Fu
CVPR 2024
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OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
CVPR 2024
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Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Zaid Khan, Vijay Kumar BG, Samuel Schulter, Yun Fu, Manmohan Chandraker
CVPR 2024
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Advancing Vision-Language Models with Adapter Ensemble Strategies
Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu
EMNLP 2024
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SkipDiff: Adaptive Skip Diffusion Model for High-fidelity Perceptual Image Super-resolution
Xiaotong Luo, Yuan Xie, Yanyun Qu, Yun Fu
AAAI 2024
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AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution
Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu
AAAI 2024
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Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao
WWW 2024
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LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu
ECCVW 2024
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Journal
SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
IEEE TKDE 2024
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HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression
Chang Liu, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen
IJCV 2024
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2023
Conference
Contrastive Alignment of Vision to Language Through Parameter-efficient Transfer Learning
Zaid Khan, Yun Fu
ICLR 2023
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Image as Set of Points
Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
ICLR 2023
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Discovering Information and Robust Positives for Video Domain Adaptation
Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu
ICLR 2023
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Latent Graph Inference with Limited Supervision
Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
NeurIPS 2023
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Exploring Question Decomposition for Zero-Shot VQA
Zaid Khan, Vijay Kumar BG, Samuel Schulter, Manmohan Chandraker, Yun Fu
NeurIPS 2023
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SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren
NeurIPS 2023
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UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
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, and Ran Xu
NeurIPS 2023
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NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation
Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu
CVPR 2023
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Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
Yi Xu, Armin Bazarjani, Hyung-gun Chi, Chiho Choi, Yun Fu
CVPR 2023
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Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
Zaid Khan, Vijay Kumar BG, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
CVPR 2023
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Real-Time Neural Light Field on Mobile Devices
Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren
CVPR 2023
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Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, and Zhiqiang Tao
ICCV 2023
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BEV-DG: Cross-Modal Learning under Bird’s-Eye View for Domain Generalization of 3D Semantic Segmentation
Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu
ICCV 2023
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Efficient Converted Spiking Neural Network for 3D and 2D Classification
Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu
ICCV 2023
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GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
ICCV 2023
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Momentum in Momentum for Adaptive optimization
Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu
ICDM 2023
Concentric Ring Loss for Face Forgery Detection
Yu Yin, Yue Bai, Yizhou Wang, Yun Fu
ICDM 2023
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu
AAAI 2023
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Layout Representation Learning with Spatial and Structural Hierarchies
Yue Bai, Dipu Manandhar, Zhaowen Wang, John Collomosse, Yun Fu
AAAI 2023
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Rethinking Neighborhood Consistency Learning on Unsupervised Domain Adaptation
Chang Liu, Lichen Wang, Yun Fu
ACM MM 2023
Layout Sequence Prediction From Noisy Mobile Modality
Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
ACM MM 2023
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High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network
Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen Turney, Jeff Lichtman, Hanspeter Pfister, Yun Fu
ISBI 2023
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Improving Cross-Domain Detection with Self-Supervised Learning
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
CVPRW 2023
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Journal
Transforming Complex Problems Into K-Means Solutions
Hongfu Liu, Junxiang Chen, Jennifer Dy, Yun Fu
IEEE TPAMI 2023
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Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu
IEEE TPAMI 2023
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Lattice Network for Lightweight Image Restoration
Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu
IEEE TPAMI 2023
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LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution
Bin Sun, Jun Li, Ming Shao, Yun Fu
IEEE TNNLS 2023
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From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding
Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu
IEEE TNNLS 2023
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Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
IEEE TIP 2023
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Pyramid Attention Network for Image Restoration
Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi
IJCV 2023
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2022
Conference
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Yulun Zhang, Huan Wang, Can Qin, Yun Fu
ICLR 2022
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Look More but Care Less in Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
NeurIPS 2022
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Parameter-Efficient Masking Networks
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
NeurIPS 2022
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Adaptive Trajectory Prediction via Transferable GNN
Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu
CVPR 2022
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Learning to Learn across Diverse Data Biases in Deep Face Recognition
Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu
CVPR 2022
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Single-Stream Multi-Level Alignment for Vision-Language Pretraining
Zaid Khan, Vijay Kumar B G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
ECCV 2022
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R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov
ECCV 2022
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Robust Semi-supervised Domain Adaptation against Noisy Labels
Can Qin, Yizhou Wang, Yun Fu
CIKM 2022
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Making Reconstruction-based Method Great Again for Video Anomaly Detection
Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma and Yun Fu
ICDM 2022
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Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
AAAI 2022
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MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu
IJCAI 2022
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Test-time Fourier Style Calibration for Domain Generalization
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
IJCAI 2022
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External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan Rossi, Yun Fu
KDD 2022
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Meta Adversarial Weight for Unsupervised Domain Adaptation
Chang Liu, Lichen Wang, Yun Fu
SDM 2022
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Collaborative Attention Mechanism for Multi-Modal Time Series Classification
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
SDM 2022
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Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity
Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
ACM MM 2022
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Multimodal In-bed Pose and Shape Estimation under the Blankets
Yu Yin, Joseph P. Robinson, Yun Fu
ACM MM 2022
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Generating Topological Structure of Floorplans from Room Attributes
Yu Yin, Will Hutchcroft, Naji Khosravan, Ivaylo Boyadzhiev, Yun Fu, Sing Bing Kang
ICMR 2022
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Journal
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning
Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
IEEE TPAMI 2022
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Semi-supervised Domain Adaptive Structure Learning
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
IEEE TIP 2022
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Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder
Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Hang Di, Yun Fu
IEEE TIP 2022
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Generative Multi-Label Correlation Learning
Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu
ACM TKDD 2022
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Guided Graph Attention Learning for Video-Text Matching
Kunpeng Li, Chang Liu, Jun Amano, Yun Fu
ACM TOMM 2022
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2021
Conference
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu
NeurIPS 2021
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Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang, Huan Wang, Can Qin, Yun Fu
NeurIPS 2021
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MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention Network
Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu
CVPR 2021
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution
Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister
ICCV 2021
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Aspect-based Sentiment Classification via Reinforcement Learning
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
ICDM 2021
Domain Generalization via Feature Variation Decorrelation
Chang Liu, Lichen Wang, Kai Li, Yun Fu
ACM MM 2021
Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images
Bicheng Dai, Kaisheng Wu, Tong Wu, Kai Li, Yanyun Qu, Yuan Xie, Yun Fu
ACM MM 2021
Stylized Text-to-Fashion Image Generation
Huixian Zhang, Shuhui Jiang, Yun Fu
FG 2021
Journal
Vehicle and Person Re-Identification with Support Neighbor Loss
Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
IEEE TNNLS 2021
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Deep Learning for Fashion Style Generation
Shuhui Jiang, Jun Li, Yun Fu
IEEE TNNLS 2021
Continual Multi-view Task Learning via Deep Matrix Factorization
Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu
IEEE TNNLS 2021
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Semi-supervised Dual Relation Learning for Multi-label Classification
Lichen Wang, Yunyu Liu, Hang Di, Can Qin, Gan Sun, Yun Fu
IEEE TIP 2021
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Accurate and Fast ImageDenoising via Attention Guided Scaling
Yulun Zhang, Kunpeng Li, Kai Li, Yu Kong, Gan Sun, Yun Fu
IEEE TIP 2021
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding
Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu
IEEE T-Cybernetics 2021
Self-guided Deep Multi-view Subspace Clustering via Consensus Affinity Regularization
Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu
IEEE T-Cybernetics 2021
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Harnessing Deep Learning to Overcome Photo-toxicity for Live-cell Imaging
Zhenmin Hong, Tengqian Sun, Songyao Jiang, Kunpeng Li, Yun Fu, Huizhong Xu, Jin Zhang, Yongmin Liu, Qing Ye, Hu Cang
Nature: Commun. Biol. 2021
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Automatic Age Estimation using a Large Database,” IEEE International Conference on Computer Vision (ICCV), 2009.
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Before 2005
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