Mai, Zheda

13 publications

NeurIPS 2025 BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning Jianyang Gu, Samuel Stevens, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James Balhoff, Wasila Dahdul, Daniel Rubenstein, Hilmar Lapp, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su

CVPRW 2025 Efficiently Mitigating Video Content Misalignment on Large Vision Model with Time-Series Data Alignment Hanchen Xie, Rose Ma, Jiageng Zhu, Zheda Mai, Wael Abd-Almageed, Zubin Abraham

CVPR 2025 Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

CVPR 2025 Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao

CVPR 2025 Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

NeurIPS 2025 Revisiting Semi-Supervised Learning in the Era of Foundation Models Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao

NeurIPS 2024 Fine-Tuning Is Fine, if Calibrated Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

NeurIPS 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao

NeurIPS 2023 Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

NeurIPSW 2023 Segment Anything Model (SAM) Enhances Pseudo-Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao

CVPR 2023 Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao

AAAI 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

CVPRW 2021 Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner