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2020 – today
- 2025
[i25]Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski:
Cosmos World Foundation Model Platform for Physical AI. CoRR abs/2501.03575 (2025)- 2024
- [j5]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): 251-264 (2024) - [c22]Madeline Chantry Schiappa, Shehreen Azad, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet:
Robustness Analysis on Foundational Segmentation Models. CVPR Workshops 2024: 1786-1796 - [c21]Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui:
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CVPR 2024: 14033-14042 - [c20]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. CVPR 2024: 22401-22412 - [i24]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 abs/2404.19752 (2024) - [i23]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 abs/2405.09546 (2024) - [i22]Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang:
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR abs/2411.07126 (2024) - [i21]Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang:
Edify 3D: Scalable High-Quality 3D Asset Generation. CoRR abs/2411.07135 (2024) - [i20]Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan:
freePruner: A Training-free Approach for Large Multimodal Model Acceleration. CoRR abs/2411.15446 (2024) - 2023
- [j4]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): 153 (2023) - [j3]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) - [j2]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) - [c19]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: 11093-11101 - [c18]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV 2023: 18752-18762 - [c17]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 - [c16]Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti:
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. WACV 2023: 4750-4758 - [i19]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 abs/2305.15591 (2023) - [i18]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 abs/2305.17207 (2023) - [i17]Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet:
Robustness Analysis on Foundational Segmentation Models. CoRR abs/2306.09278 (2023) - [i16]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR abs/2307.11386 (2023) - [i15]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 abs/2309.05956 (2023) - [i14]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 abs/2312.05277 (2023) - [i13]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 abs/2312.14216 (2023) - 2022
- [j1]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): 3778-3791 (2022) - [c15]Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti:
Contributions of Shape, Texture, and Color in Visual Recognition. ECCV (12) 2022: 369-386 - [c14]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: 477-493 - [i12]Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister:
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR abs/2206.06469 (2022) - [i11]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR abs/2206.09592 (2022) - [i10]Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti:
Contributions of Shape, Texture, and Color in Visual Recognition. CoRR abs/2207.09510 (2022) - [i9]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 abs/2207.11368 (2022) - [i8]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 abs/2212.01758 (2022) - [i7]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 abs/2212.07629 (2022) - 2021
- [c13]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: 2195-2204 - [c12]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. ICLR 2021 - [i6]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 abs/2105.00290 (2021) - [i5]Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti:
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. CoRR abs/2112.03163 (2021) - 2020
- [c11]Yunhao Ge, Jiaping Zhao, Laurent Itti:
Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. ECCV (28) 2020: 138-155 - [i4]Yunhao Ge, Jiaping Zhao, Laurent Itti:
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. CoRR abs/2003.08526 (2020) - [i3]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. CoRR abs/2009.06586 (2020) - [i2]Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti:
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. CoRR abs/2009.13954 (2020)
2010 – 2019
- 2019
- [c10]Bin Li, Yunhao Ge, Yanzheng Zhao, Weixin Yan:
Automatic Detection of Circulating Tumor Cells with Very Deep Residual Networks. ICBET 2019: 174-179 - [c9]Yunhao Ge, Bin Li, Yanzheng Zhao, Weixin Yan:
HH-Net: Image Driven Microscope Fast Auto-Focus with Deep Neural Network. ICBET 2019: 180-185 - [c8]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: 1096-1099 - [c7]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: 512-520 - [c6]Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao:
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Image Processing 2019: 1094905 - [i1]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 abs/1907.13020 (2019) - 2018
- [c5]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: 625-630 - [c4]Bin Li, Yunhao Ge, Yanzheng Zhao, Enguang Guan, Weixin Yan:
Benign and malignant mammographic image classification based on Convolutional Neural Networks. ICMLC 2018: 247-251 - [c3]Yunhao Ge, Bin Li, Yanzheng Zhao, Enguang Guan, Weixin Yan:
Melanoma Segmentation and Classification in Clinical Images Using Deep Learning. ICMLC 2018: 252-256 - 2017
- [c2]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: 14-25 - [c1]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: 26-38
Coauthor Index
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last updated on 2025-02-20 19:48 CET by the dblp team
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