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Xingyu Zeng
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2020 – today
- 2024
- [c18]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Du Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang:
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. EMNLP (Industry Track) 2024: 371-385 - [c17]Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu:
CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP (Findings) 2024: 6247-6265 - [c16]Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan:
Gradient-based Visual Explanation for Transformer-based CLIP. ICML 2024 - [i20]Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu:
Causal Evaluation of Language Models. CoRR abs/2405.00622 (2024) - [i19]Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu:
CLEAR: Can Language Models Really Understand Causal Graphs? CoRR abs/2406.16605 (2024) - 2023
- [c15]Guoqiang Jin, Fan Yang, Mingshan Sun, Ruyi Zhao, Yakun Liu, Wei Li, Tianpeng Bao, Liwei Wu, Xingyu Zeng, Rui Zhao:
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers. BMVC 2023: 111-113 - [c14]Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao:
Explore the Power of Synthetic Data on Few-shot Object Detection. CVPR Workshops 2023: 638-647 - [c13]Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao:
An Effective Crop-Paste Pipeline for Few-shot Object Detection. CVPR Workshops 2023: 4820-4828 - [i18]Shaobo Lin, Xingyu Zeng, Rui Zhao:
Explore the Power of Dropout on Few-shot Learning. CoRR abs/2301.11015 (2023) - [i17]Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao:
An Effective Crop-Paste Pipeline for Few-shot Object Detection. CoRR abs/2302.14452 (2023) - [i16]Guoqiang Jin, Fan Yang, Mingshan Sun, Ruyi Zhao, Yakun Liu, Wei Li, Tianpeng Bao, Liwei Wu, Xingyu Zeng, Rui Zhao:
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers. CoRR abs/2303.08481 (2023) - [i15]Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao:
Explore the Power of Synthetic Data on Few-shot Object Detection. CoRR abs/2303.13221 (2023) - [i14]Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu
, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao:
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR abs/2308.03427 (2023) - [i13]Zhixuan Liang
MeanAP-Guided Reinforced Active Learning for Object Detection. CoRR abs/2310.08387 (2023) - [i12]Yuhan Sun, Mukai Li, Yixin Cao, Kun Wang, Wenxiao Wang, Xingyu Zeng, Rui Zhao:
To be or not to be? an exploration of continuously controllable prompt engineering. CoRR abs/2311.09773 (2023) - [i11]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR abs/2311.11315 (2023) - 2022
- [c12]Shaobo Lin, Xingyu Zeng, Shilin Yan, Rui Zhao:
Three-stage Training Pipeline with Patch Random Drop for Few-shot Object Detection. ACCV (6) 2022: 286-302 - [c11]Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao:
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection. ECCV (4) 2022: 333-350 - [i10]Shaobo Lin, Xingyu Zeng, Rui Zhao:
A Unified Framework with Meta-dropout for Few-shot Learning. CoRR abs/2210.06409 (2022) - 2020
- [c10]Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. AAAI 2020: 10478-10485 - [c9]Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang:
Rethinking Pseudo-LiDAR Representation. ECCV (13) 2020: 311-327 - [c8]Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang:
Adapting Object Detectors with Conditional Domain Normalization. ECCV (11) 2020: 403-419 - [i9]Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. CoRR abs/2002.01619 (2020) - [i8]Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang:
Adapting Object Detectors with Conditional Domain Normalization. CoRR abs/2003.07071 (2020) - [i7]Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang:
Rethinking Pseudo-LiDAR Representation. CoRR abs/2008.04582 (2020)
2010 – 2019
- 2019
- [c7]Buyu Li, Wanli Ouyang
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. CVPR 2019: 1019-1028 - [i6]Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang:
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. CoRR abs/1903.10955 (2019) - 2018
- [j8]Hua Zhang
Webshell Traffic Detection With Character-Level Features Based on Deep Learning. IEEE Access 6: 75268-75277 (2018) - [j7]Xingyu Zeng, Wanli Ouyang
Crafting GBD-Net for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2109-2123 (2018) - [j6]Kai Kang
T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2896-2907 (2018) - 2017
- [j5]Wanli Ouyang
DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1320-1334 (2017) - [j4]Jingwei Guan
Visual Importance and Distortion Guided Deep Image Quality Assessment Framework. IEEE Trans. Multim. 19(11): 2505-2520 (2017) - 2016
- [j3]Wanli Ouyang
Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model. Int. J. Comput. Vis. 120(1): 14-27 (2016) - [j2]Wanli Ouyang
Partial Occlusion Handling in Pedestrian Detection With a Deep Model. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2123-2137 (2016) - [c6]Xingyu Zeng, Wanli Ouyang
Gated Bi-directional CNN for Object Detection. ECCV (7) 2016: 354-369 - [i5]Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang:
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos. CoRR abs/1604.02532 (2016) - [i4]Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang:
Crafting GBD-Net for Object Detection. CoRR abs/1610.02579 (2016) - 2015
- [j1]Wanli Ouyang
Single-Pedestrian Detection Aided by Two-Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1875-1889 (2015) - [c5]Wanli Ouyang
DeepID-Net: Deformable deep convolutional neural networks for object detection. CVPR 2015: 2403-2412 - [c4]Wanli Ouyang
Learning Deep Representation with Large-Scale Attributes. ICCV 2015: 1895-1903 - [i3]Xingyu Zeng, Wanli Ouyang, Xiaogang Wang:
Window-Object Relationship Guided Representation Learning for Generic Object Detections. CoRR abs/1512.02736 (2015) - 2014
- [c3]Xingyu Zeng, Wanli Ouyang
Deep Learning of Scene-Specific Classifier for Pedestrian Detection. ECCV (3) 2014: 472-487 - [i2]Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, Zhenyao Zhu, Ruohui Wang, Chen Change Loy, Xiaogang Wang, Xiaoou Tang:
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection. CoRR abs/1409.3505 (2014) - [i1]Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen Change Loy, Xiaoou Tang:
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection. CoRR abs/1412.5661 (2014) - 2013
- [c2]Wanli Ouyang
Modeling Mutual Visibility Relationship in Pedestrian Detection. CVPR 2013: 3222-3229 - [c1]Xingyu Zeng, Wanli Ouyang
Multi-stage Contextual Deep Learning for Pedestrian Detection. ICCV 2013: 121-128
Coauthor Index
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