Yunhao Ge

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Object Detection And Segmentation

Object Recognition

Top Venues

Publications

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6 (3) (2024)
Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR (2024)
Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CoRR (2024)
Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
Lightweight Learner for Shared Knowledge Lifelong Learning. Trans. Mach. Learn. Res. 2023 (2023)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR (2023)
Yunhao Ge, Jie Ren, Jiaping Zhao, Kaifeng Chen, Andrew Gallagher, Laurent Itti, Balaji Lakshminarayanan
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models. CoRR (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS (2023)
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR (2023)
Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
Improving Zero-shot Generalization and Robustness of Multi-Modal Models. CVPR (2023)
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. 2023 (2023)
Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. WACV (2023)
Adam M. Jones, Gozde Sahin, Zachary William Murdock, Yunhao Ge, Ao Xu, Yuecheng Li, Di Wu, Shuo Ni, Po-Hsuan Huang, Kiran Lekkala, Laurent Itti
USC-DCT: A Collection of Diverse Classification Tasks. Data 8 (10) (2023)
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV (2023)
Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet
Robustness Analysis on Foundational Segmentation Models. CoRR (2023)
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR (2023)
Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
Lightweight Learner for Shared Knowledge Lifelong Learning. CoRR (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR (2023)
Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao
Improving Zero-shot Generalization and Robustness of Multi-modal Models. CoRR (2022)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR (2022)
Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR (2022)
Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
Contributions of Shape, Texture, and Color in Visual Recognition. ECCV (12) (2022)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR (2022)
Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) (2022)
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR (2022)
Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
Contributions of Shape, Texture, and Color in Visual Recognition. CoRR (2022)
Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. CVPR (2021)
Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. CoRR (2021)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. ICLR (2021)
Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. CoRR (2021)
Yunhao Ge, Jiaping Zhao, Laurent Itti
Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. ECCV (28) (2020)
Yunhao Ge, Jiaping Zhao, Laurent Itti
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. CoRR (2020)
Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. CoRR (2020)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. CoRR (2020)
Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Medical Imaging: Image Processing (2019)
Bin Li, Yunhao Ge, Yanzheng Zhao, Weixin Yan
Automatic Detection of Circulating Tumor Cells with Very Deep Residual Networks. ICBET (2019)
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR (2019)
Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. ISBI (2019)
Yunhao Ge, Bin Li, Yanzheng Zhao, Weixin Yan
HH-Net: Image Driven Microscope Fast Auto-Focus with Deep Neural Network. ICBET (2019)
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) (2019)
Yunhao Ge, Bin Li, Yanzheng Zhao, Enguang Guan, Weixin Yan
Melanoma Segmentation and Classification in Clinical Images Using Deep Learning. ICMLC (2018)
Yunhao Ge, Bin Li, Weixin Yan, Yanzheng Zhao
A real-time gesture prediction system using neural networks and multimodal fusion based on data glove. ICACI (2018)
Bin Li, Yunhao Ge, Yanzheng Zhao, Enguang Guan, Weixin Yan
Benign and malignant mammographic image classification based on Convolutional Neural Networks. ICMLC (2018)
Yunhao Ge, Jihao Liu, Bin Li, Huihua Miao, Weixin Yan, Yanzheng Zhao
Dynamic Drive Performances of the Bionic Suction Cup Actuator Based on Shape Memory Alloy. ICIRA (1) (2017)
Enguang Guan, Yunhao Ge, Jihao Liu, Weixin Yan, Yanzheng Zhao
Piezoelectric Micro-Pump Suction Cup Design and Research on the Optimal Static Driving Characteristics. ICIRA (1) (2017)