Jiaqian Yu

According to our database, Jiaqian Yu authored at least 22 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation.

Xiongfeng Peng, Jiaqian Yu, Dingzhe Li, Yixiang Jin, Lu Xu, Yamin Mao, Chao Zhang, Weiming Li, Sujin Jang, Dongwook Lee, Daehyun Ji

CoRR, March, 2026

The dynamic interplay between brain entropy and functional connectivity.

Xiaoyang Xin, Jiaqian Yu, Cuiping Wang, Xiaoqing Gao

NeuroImage, 2026

2025

MoSE: Skill-by-Skill Mixture-of-Expert Learning for Autonomous Driving.

Lu Xu, Jiaqian Yu, Xiongfeng Peng, Yiwei Chen, Weiming Li, Jaewook Yoo, Sunghyun Chunag, Dongwook Lee, Daehyun Ji, Chao Zhang

CoRR, July, 2025

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles.

Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu Li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko

Trans. Mach. Learn. Res., 2025

2024

Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching.

Muzhe Guo, Muhao Guo, Juntao Su, Junyu Chen, Jiaqian Yu, Jiaqi Wang, Hongfei Du, Parmanand Sahu, Ashwin Assysh Sharma, Fang Jin

Proceedings of the ACM on Web Conference 2024, 2024

Gradtrans: Transformer-Based Gradient Guidance for Image Generation.

Yiwei Chen, Jiaqian Yu, Siyang Pan, Sangil Jung, Wu Bi, Seung-In Park, Qiang Wang, ByungIn Yoo

Proceedings of the IEEE International Conference on Image Processing, 2024

Efficient Learning on Successive Test Time Augmentation.

Siyang Pan, Jiaqian Yu, Dongwook Lee, Yiwei Chen, Chao Zhang, Qiang Wang, ByungIn Yoo

Proceedings of the IEEE International Conference on Acoustics, 2024

BLADE: Benchmarking Language Model Agents for Data-Driven Science.

Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction.

Yi Zhou, Hui Zhang, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union.

Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking.

Bin Huang, Jiaqian Yu, Yiwei Chen, Siyang Pan, Qiang Wang, Zhi Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Sai S. Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Learning Generalized Intersection Over Union for Dense Pixelwise Prediction.

Jiaqian Yu, Jingtao Xu, Yiwei Chen, Weiming Li, Qiang Wang, ByungIn Yoo, Jae-Joon Han

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses.

Jiaqian Yu, Matthew B. Blaschko

IEEE Trans. Pattern Anal. Mach. Intell., 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AFOD: Adaptive Focused Discriminative Segmentation Tracker.

Yiwei Chen, Jingtao Xu, Jiaqian Yu, Qiang Wang, ByungIn Yoo, Jae-Joon Han

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Yes, IoU loss is submodular - as a function of the mispredictions.

Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu

CoRR, 2018

2017

An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses.

Jiaqian Yu, Matthew B. Blaschko

CoRR, 2017

2016

Efficient Learning for Discriminative Segmentation with Supermodular Losses.

Jiaqian Yu, Matthew B. Blaschko

Proceedings of the British Machine Vision Conference 2016, 2016

A Convex Surrogate Operator for General Non-Modular Loss Functions.

Jiaqian Yu, Matthew B. Blaschko

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

The Lovász Hinge: A Convex Surrogate for Submodular Losses.

Jiaqian Yu, Matthew B. Blaschko

CoRR, 2015

Learning Submodular Losses with the Lovasz Hinge.

Jiaqian Yu, Matthew B. Blaschko

Proceedings of the 32nd International Conference on Machine Learning, 2015