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Publication search results
found 174 matches
- 2024
- Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao:
Few-Shot Learning With a Strong Teacher. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1425-1440 (2024) - Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. 2024 (2024) - Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao:
Dual-View Visual Contextualization for Web Navigation. CVPR 2024: 14445-14454 - Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su:
BioCLIP: A Vision Foundation Model for the Tree of Life. CVPR 2024: 19412-19424 - Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao:
Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR 2024 - Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao:
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR 2024 - Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
Better Monocular 3D Detectors with LiDAR from the Past. ICRA 2024: 6634-6641 - Feng-Min Lee, Po-Hao Tseng, Yu-Yu Lin, Yu-Hsuan Lin, Wei-Lun Weng, Nei-Chih Lin, Po-Jung Sung, Chien-Ting Wu, Chih-Chao Yang, Wen-Fa Wu, Chang-Hong Shen, Tuo-Hung Hou, Ming-Hsiu Lee, Kuang-Yeu Hsieh, Keh-Chung Wang, Chih-Yuan Lu:
Bit-Cost-Scalable 3D DRAM Architecture and Unit Cell First Demonstrated with Integrated Gate-Around and Channel-Around IGZO FETs. VLSI Technology and Circuits 2024: 1-2 - Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao:
Dual-View Visual Contextualization for Web Navigation. CoRR abs/2402.04476 (2024) - Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
Better Monocular 3D Detectors with LiDAR from the Past. CoRR abs/2404.05139 (2024) - Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR abs/2405.16034 (2024) - Kuan-Chen Wang, You-Jin Li, Wei-Lun Chen, Yu-Wen Chen, Yi-Ching Wang, Ping-Cheng Yeh, Chao Zhang, Yu Tsao:
Bridging the Gap: Integrating Pre-trained Speech Enhancement and Recognition Models for Robust Speech Recognition. CoRR abs/2406.12699 (2024) - Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Harish Babu Manogaran, Abhilash Neog, Mridul Khurana, Bahadir Altintas, Yasin Bakis, Elizabeth G. Campolongo, Matthew J. Thompson, Xiaojun Wang, Hilmar Lapp, Wei-Lun Chao, Paula M. Mabee, Henry L. Bart Jr., Wasila M. Dahdul, Anuj Karpatne:
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. CoRR abs/2407.08027 (2024) - Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. CoRR abs/2407.12764 (2024) - Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao:
CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs. CoRR abs/2407.16837 (2024) - Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne:
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. CoRR abs/2408.00160 (2024) - M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne:
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. CoRR abs/2408.16176 (2024) - Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath:
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning. CoRR abs/2409.10362 (2024) - Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao:
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. CoRR abs/2409.11509 (2024) - Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao:
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. CoRR abs/2409.16434 (2024) - 2023
- Ziwei Li, Jiayi Xu, Wei-Lun Chao, Han-Wei Shen:
Visual Analytics on Network Forgetting for Task-Incremental Learning. Comput. Graph. Forum 42(3): 437-448 (2023) - Yang Tang, Shuang Song, Shengxi Gui, Weilun Chao, Chinmin Cheng, Rongjun Qin:
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment. Sensors 23(3): 1437 (2023) - Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. AAAI 2023: 2456-2464 - Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao:
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CVPR 2023: 7725-7735 - Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang:
Train-Once-for-All Personalization. CVPR 2023: 11818-11827 - Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian L. Price:
Towards Open-World Segmentation of Parts. CVPR 2023: 15392-15401 - Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL 2023: 63-72 - Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann:
A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing. ICCAD 2023: 1-9
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