Wu, Zuxuan

BlockDrop: Dynamic Inference Paths in Residual Networks

Wu, Z., Nagarajan, T., Kumar, A., Rennie, S., Davis, L. S., Grauman, K., & Feris, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 465

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

Wang, J., Wu, Z., Ouyang, W., Han, X., Chen, J., Jiang, Y.-G., & Li, S.-N. (2022) · Proceedings of the 2022 International Conference on Multimedia Retrieval

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 368

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

Meng, L., Li, H., Chen, B.-C., Lan, S., Wu, Z., Jiang, Y.-G., & Lim, S.-N. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 262

BEVT: BERT Pretraining of Video Transformers

Wang, R., Chen, D., Wu, Z., Chen, Y., Dai, X., Liu, M., Jiang, Y.-G., Zhou, L., & Yuan, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 234

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Ma, C.-Y., Lu, J., Wu, Z., AlRegib, G., Kira, Z., Socher, R., & Xiong, C. (2019) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 200

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

Meng, L., Yang, J., Tian, R., Dai, X., Wu, Z., Gao, J., & Jiang, Y.-G. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 12

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

Meng, L., Yang, J., Tian, R., Dai, X., Wu, Z., Gao, J., & Jiang, Y.-G. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0