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Yongqiang Yao
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2020 – today
- 2024
- [j7]Weitao Feng, Lei Bai
, Yongqiang Yao, Fengwei Yu, Wanli Ouyang:
Towards Frame Rate Agnostic Multi-object Tracking. Int. J. Comput. Vis. 132(5): 1443-1462 (2024) - [j6]Bo Li
Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks 172: 106134 (2024) - [j5]Weitao Feng
Similarity- and Quality-Guided Relation Learning for Joint Detection and Tracking. IEEE Trans. Multim. 26: 1267-1280 (2024) - [i13]Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR abs/2403.07153 (2024) - [i12]Mengnan Qi, Yufan Huang, Yongqiang Yao, Maoquan Wang, Bin Gu, Neel Sundaresan:
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension. CoRR abs/2404.08885 (2024) - [i11]Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu:
OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. CoRR abs/2407.20761 (2024) - 2023
- [j4]Jingru Tan
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13876-13892 (2023) - [j3]Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, Yaxiong Wang
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10516-10527 (2023) - [c11]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. EMNLP 2023: 10903-10914 - [c10]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. EMNLP 2023: 14024-14034 - [c9]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys 2023 - [i10]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR abs/2307.00280 (2023) - [i9]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. CoRR abs/2310.11476 (2023) - [i8]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. CoRR abs/2310.14209 (2023) - [i7]Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan:
Rethinking the Instruction Quality: LIFT is What You Need. CoRR abs/2312.11508 (2023) - 2022
- [j2]Zhixuan Wu, Nan Ma
Attention Mechanism Based on Improved Spatial-Temporal Convolutional Neural Networks for Traffic Police Gesture Recognition. Int. J. Pattern Recognit. Artif. Intell. 36(8): 2256001:1-2256001:19 (2022) - [c8]Cheng Wang
Survey of Hypergraph Neural Networks and Its Application to Action Recognition. CICAI (2) 2022: 387-398 - [c7]Jiahong Li
Lane following method based on Q-PID algorithm. CIS 2022: 38-42 - [c6]Bo Li
Equalized Focal Loss for Dense Long-Tailed Object Detection. CVPR 2022: 6980-6989 - [i6]Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. CoRR abs/2201.02593 (2022) - [i5]Weitao Feng, Lei Bai
Towards Frame Rate Agnostic Multi-Object Tracking. CoRR abs/2209.11404 (2022) - [i4]Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang:
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. CoRR abs/2210.05566 (2022) - [i3]Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu:
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. CoRR abs/2210.05568 (2022) - 2021
- [c5]Yongqiang Yao, Nan Ma, Jiahong Li, Zhixuan Wu, Guoping Zhang:
Research on Control Method of Self-driving Vehicle Based on Adaptive Fuzzy PID. CIS 2021: 212-216 - [c4]Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, WeiZhang, Yanhao Ge, Xueming Qian:
Towards Efficient Masked-Face Alignment Via Cascaded Regression. ICME Workshops 2021: 1-5 - 2020
- [c3]Zhixuan Wu, Nan Ma, Yiu-ming Cheung, Jiahong Li, Qin He, Yongqiang Yao, Guoping Zhang:
Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition. CIS 2020: 109-115 - [c2]Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. CVPR 2020: 9756-9765 - [i2]Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan:
Cross-dataset Training for Class Increasing Object Detection. CoRR abs/2001.04621 (2020)
2010 – 2019
- 2019
- [i1]Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. CoRR abs/1912.02424 (2019) - 2018
- [j1]Yongqiang Yao, Di Huang
Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 18:1-18:23 (2018) - [c1]Yongqiang Yao, Yuan Dong, Zesang Huang, Hongliang Bai:
Dense Receptive Field for Object Detection. ICPR 2018: 1815-1820
Coauthor Index
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