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ORCIDYun Fu 0001
Person information
- affiliation: Northeastern University, Department of Electrical and Computer Engineering / College of Computer and Information Science, Boston, MA, USA
- affiliation (since 2010): University at Buffalo-State University of New York, Department of Computer Science and Engineering, NY, USA
- affiliation (2009): Tufts University, Medford, MA, USA
- affiliation (since 2008): BBN Technologies, Cambridge, MA, USA
- affiliation (PhD 2008): University of Illinois at Urbana-Champaign, Electrical and Computer Engineering Department, IL, USA
Other persons with the same name
- Yun Fu — disambiguation page
- Yun Fu 0002 — University College London, UK
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2020 – today
- 2024
[j135]Chang Liu
, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen:
HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression. Int. J. Comput. Vis. 132(6): 1913-1927 (2024)- [c300]Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu:
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. AAAI 2024: 4009-4016 - [c299]Xiaotong Luo, Yuan Xie, Yanyun Qu, Yun Fu:
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution. AAAI 2024: 4017-4025 - [c298]Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu:
Rewrite the Stars. CVPR 2024: 5694-5703 - [c297]Zaid Khan, Yun Fu:
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering. CVPR 2024: 10854-10863 - [c296]Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan:
Efficient Modulation for Vision Networks. ICLR 2024 - [c295]Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu:
Don't Judge by the Look: Towards Motion Coherent Video Representation. ICLR 2024 - [c294]Dongliang Guo, Yun Fu, Sheng Li:
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM 2024: 634-642 - [c293]Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao:
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. WWW 2024: 2271-2281 - [i116]Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu:
Don't Judge by the Look: Towards Motion Coherent Video Representation. CoRR abs/2403.09506 (2024) - [i115]Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan:
Efficient Modulation for Vision Networks. CoRR abs/2403.19963 (2024) - [i114]Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu:
Rewrite the Stars. CoRR abs/2403.19967 (2024) - [i113]Yi Xu, Yun Fu:
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. CoRR abs/2404.00742 (2024) - [i112]Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu:
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising. CoRR abs/2404.02227 (2024) - [i111]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR abs/2404.04627 (2024) - [i110]Zaid Khan, Yun Fu:
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering. CoRR abs/2404.10193 (2024) - [i109]Yi Xu, Yun Fu:
Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent. CoRR abs/2405.17680 (2024) - [i108]Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li:
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR abs/2406.13763 (2024) - [i107]Yue Bai, Zichen Zhang, Jiasen Lu, Yun Fu:
SoupLM: Model Integration in Large Language and Multi-Modal Models. CoRR abs/2407.08196 (2024) - [i106]Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu:
Accessing Vision Foundation Models at ImageNet-level Costs. CoRR abs/2407.10366 (2024) - 2023
- [j134]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Network for Image Restoration. Int. J. Comput. Vis. 131(12): 3207-3225 (2023) - [j133]Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 641-656 (2023) - [j132]Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu:
Lattice Network for Lightweight Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4826-4842 (2023) - [j131]Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu:
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9149-9168 (2023) - [j130]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): 10974-10989 (2023) - [j129]Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Hang Di, Yun Fu:
Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder. IEEE Trans. Image Process. 32: 524-536 (2023) - [j128]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: 4365-4377 (2023) - [j127]Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu:
Generative Multi-Label Correlation Learning. ACM Trans. Knowl. Discov. Data 17(2): 18:1-18:19 (2023) - [j126]Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu:
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2670-2681 (2023) - [j125]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4440-4450 (2023) - [c292]Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu:
Layout Representation Learning with Spatial and Structural Hierarchies. AAAI 2023: 206-214 - [c291]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. AAAI 2023: 2375-2383 - [c290]Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu:
Improving Cross-Domain Detection with Self-Supervised Learning. CVPR Workshops 2023: 4746-4755 - [c289]Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren:
Real-Time Neural Light Field on Mobile Devices. CVPR 2023: 8328-8337 - [c288]Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu:
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation. CVPR 2023: 8539-8548 - [c287]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CVPR 2023: 10504-10513 - [c286]Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - [c285]Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu:
Efficient Converted Spiking Neural Network for 3D and 2D Classification. ICCV 2023: 9177-9186 - [c284]Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu:
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation. ICCV 2023: 11598-11608 - [c283]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. ICCV 2023: 12556-12565 - [c282]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 - [c281]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 - [c280]Yu Yin, Yue Bai, Yizhou Wang, Yun Fu:
Concentric Ring Loss for Face Forgery Detection. ICDM 2023: 1505-1510 - [c279]Zaid Khan, Yun Fu:
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning. ICLR 2023 - [c278]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. ICLR 2023 - [c277]Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu:
Discovering Informative and Robust Positives for Video Domain Adaptation. ICLR 2023 - [c276]Huan Wang, Yun Fu:
Trainability Preserving Neural Pruning. ICLR 2023 - [c275]Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen G. Turney, Jeff Lichtman, Hanspeter Pfister, Yun Fu:
High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network. ISBI 2023: 1-5 - [c274]Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu:
Layout Sequence Prediction From Noisy Mobile Modality. ACM Multimedia 2023: 3965-3974 - [c273]Chang Liu, Lichen Wang, Yun Fu:
Rethinking Neighborhood Consistency Learning on Unsupervised Domain Adaptation. ACM Multimedia 2023: 7247-7254 - [c272]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS 2023 - [c271]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. NeurIPS 2023 - [c270]Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu:
Latent Graph Inference with Limited Supervision. NeurIPS 2023 - [c269]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 - [i105]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) - [i104]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) - [i103]Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu:
Towards Explainable Visual Anomaly Detection. CoRR abs/2302.06670 (2023) - [i102]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. CoRR abs/2303.01494 (2023) - [i101]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - [i100]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) - [i99]Zaid Khan, Yun Fu:
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning. CoRR abs/2303.11866 (2023) - [i98]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CoRR abs/2303.14817 (2023) - [i97]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) - [i96]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. CoRR abs/2306.00980 (2023) - [i95]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - [i94]Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu:
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation. CoRR abs/2308.06530 (2023) - [i93]Haichao Zhang, Can Qin, Yu Yin, Yun Fu:
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection. CoRR abs/2308.06701 (2023) - [i92]Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu:
Latent Graph Inference with Limited Supervision. CoRR abs/2310.04314 (2023) - [i91]Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu:
Layout Sequence Prediction From Noisy Mobile Modality. CoRR abs/2310.06138 (2023) - [i90]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. CoRR abs/2310.17050 (2023) - 2022
- [j124]Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. Int. J. Comput. Vis. 130(5): 1366-1401 (2022) - [j123]Joseph P. Robinson, Ming Shao, Yun Fu:
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4432-4453 (2022) - [j122]Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu:
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. IEEE Trans. Cybern. 52(9): 9090-9100 (2022) - [j121]Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu:
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52(12): 12734-12744 (2022) - [j120]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. 31: 7179-7190 (2022) - [j119]Lichen Wang, Zhengming Ding, Yun Fu:
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. ACM Trans. Knowl. Discov. Data 16(1): 12:1-12:20 (2022) - [j118]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship. IEEE Trans. Multim. 24: 3582-3594 (2022) - [j117]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 826-838 (2022) - [j116]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1119-1133 (2022) - [j115]Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu:
Representative Task Self-Selection for Flexible Clustered Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1467-1481 (2022) - [j114]Shuhui Jiang, Jun Li, Yun Fu:
Deep Learning for Fashion Style Generation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4538-4550 (2022) - [j113]Kunpeng Li, Chang Liu, Michael Stopa, Jun Amano, Yun Fu:
Guided Graph Attention Learning for Video-Text Matching. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 131:1-131:23 (2022) - [c268]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI 2022: 1341-1349 - [c267]Can Qin, Yizhou Wang, Yun Fu:
Robust Semi-supervised Domain Adaptation against Noisy Labels. CIKM 2022: 4409-4413 - [c266]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 - [c265]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c264]Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu:
Adaptive Trajectory Prediction via Transferable GNN. CVPR 2022: 6510-6521 - [c263]Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi:
Towards Layer-wise Image Vectorization. CVPR 2022: 16293-16302 - [c262]Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. ECCV (31) 2022: 612-629 - [c261]Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [c260]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 - [c259]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. ICLR 2022 - [c258]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 - [c257]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c256]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. IJCAI 2022: 1721-1727 - [c255]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 - [c254]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c253]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 - [c252]Yu Yin, Will Hutchcroft, Naji Khosravan, Ivaylo Boyadzhiev, Yun Fu, Sing Bing Kang:
Generating Topological Structure of Floorplans from Room Attributes. ICMR 2022: 295-303 - [c251]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [c250]Yu Yin, Joseph P. Robinson, Yun Fu:
Multimodal In-bed Pose and Shape Estimation under the Blankets. ACM Multimedia 2022: 2411-2419 - [c249]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. NeurIPS 2022 - [c248]Huan Wang, Suhas Lohit, Michael N. Jones, Yun Fu:
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. NeurIPS 2022 - [c247]Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu:
Look More but Care Less in Video Recognition. NeurIPS 2022 - [c246]Chang Liu, Lichen Wang, Yun Fu:
Meta Adversarial Weight for Unsupervised Domain Adaptation. SDM 2022: 10-18 - [c245]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM 2022: 495-503 - [i89]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) - [i88]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. CoRR abs/2203.04248 (2022) - [i87]Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu:
Adaptive Trajectory Prediction via Transferable GNN. CoRR abs/2203.05046 (2022) - [i86]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution. CoRR abs/2203.08921 (2022) - [i85]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i84]