Feng, Jiashi

Coordinate Attention for Efficient Mobile Network Design

Hou, Q., Zhou, D., & Feng, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6,961

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Yuan, L., Chen, Y., Wang, T., Yu, W., Shi, Y., Jiang, Z., Tay, F. E., Feng, J., & Yan, S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,415

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Yuan, L., Chen, Y., Wang, T., Yu, W., Shi, Y., Jiang, Z., Tay, F. E. H., Feng, J., & Yan, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,415

Return of Frustratingly Easy Domain Adaptation

Sun, B., Feng, J., & Saenko, K. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 2,004

Return of Frustratingly Easy Domain Adaptation

Sun, B., Feng, J., & Saenko, K. (2015) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 2,004

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., & Zhao, H. (2024) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,301

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., & Zhao, H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,296

Perceptual Generative Adversarial Networks for Small Object Detection

Li, J., Liang, X., Wei, Y., Xu, T., Feng, J., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 953

Revisiting Knowledge Distillation via Label Smoothing Regularization

Yuan, L., Tay, F. E., Li, G., Wang, T., & Feng, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 572

Voxel Transformer for 3D Object Detection

Mao, J., Xue, Y., Niu, M., Bai, H., Feng, J., Liang, X., Xu, H., & Xu, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 520

Central Similarity Quantization for Efficient Image and Video Retrieval

Yuan, L., Wang, T., Zhang, X., Tay, F. E., Jie, Z., Liu, W., & Feng, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 413

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

DeepViT: Towards Deeper Vision Transformer

Zhou, D., Kang, B., Jin, X., Yang, L., Lian, X., Jiang, Z., Hou, Q., & Feng, J. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 398

A survey on deep learning-based fine-grained object classification and semantic segmentation

Zhao, B., Feng, J., Wu, X., & Yan, S. (2017) · International Journal of Automation and Computing

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 339

Rethinking Bottleneck Structure for Efficient Mobile Network Design

Zhou, D., Hou, Q., Chen, Y., Feng, J., & Yan, S. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 292

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

He, T., Kong, R., Holmes, A. J., Nguyen, M., Sabuncu, M. R., Eickhoff, S. B., Bzdok, D., Feng, J., & Yeo, B. T. T. (2020) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 271

All Tokens Matter: Token Labeling for Training Better Vision Transformers

Jiang, Z., Hou, Q., Yuan, L., Zhou, D., Shi, Y., Jin, X., Wang, A., & Feng, J. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 158

MagicVideo: Efficient Video Generation With Latent Diffusion Models

Zhou, D., Wang, W., Yan, H., Lv, W., Zhu, Y., & Feng, J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 82

Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring

Liu, R., Huang, J., Li, G., Feng, J., Wu, X., & Li, T. H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 78

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F., Fox, N. C., Eshaghi, A., Toni, T., et al. (2021) · Machine Learning for Biomedical Imaging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 68

Deep Interactive Thin Object Selection

Liew, J. H., Cohen, S., Price, B., Mai, L., & Feng, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 48

Happiness level prediction with sequential inputs via multiple regressions

Li, J., Roy, S., Feng, J., & Sim, T. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 47

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Zhou, Y., Zhou, D., Cheng, M.-M., Feng, J., & Hou, Q. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 35

How Far is Video Generation from World Model: A Physical Law Perspective

Kang, B., Yue, Y., Lu, R., Lin, Z., Zhao, Y., Wang, K., Huang, G., & Feng, J. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 7