Jia, Menglin

Class-Balanced Loss Based on Effective Number of Samples

Cui, Y., Jia, M., Lin, T.-Y., Song, Y., & Belongie, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsImbalanced Data Classification Techniques

Cited by 3,094

Visual Prompt Tuning

Jia, M., Tang, L., Chen, B.-C., Cardie, C., Belongie, S., Hariharan, B., & Lim, S.-N. (2022) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,965

Emergent Correspondence from Image Diffusion

Tang, L., Jia, M., Wang, Q., Phoo, C. P., & Hariharan, B. (2023) · arXiv

Image Retrieval and Classification TechniquesImage and Signal Denoising Methods

Cited by 118

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

He, B., Li, H., Jang, Y. K., Jia, M., Cao, X., Shah, A., Shrivastava, A., & Lim, S.-N. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 94

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Liu, H., Liu, S., Zhou, Z., Xu, M., Xie, Y., Han, X., Pérez, J. C., Liu, D., Kahatapitiya, K., Jia, M., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 1