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ORCIDZhengkai Jiang 0001
Person information
- unicode name: 蒋正锴
- affiliation: Tencent, Youtu Lab, Shanghai, China
- affiliation (former): Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (former): University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Zhengkai Jiang 0002 — Case Western Reserve University, Cleveland, OH, USA
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2020 – today
- 2024
[c14]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation. AAAI 2024: 13999-14007- [c13]Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Yu Qiao, Peng Gao, Hongsheng Li:
Personalize Segment Anything Model with One Shot. ICLR 2024 - [i30]Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu:
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation. CoRR abs/2401.11395 (2024) - [i29]Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji:
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation. CoRR abs/2403.06168 (2024) - [i28]Qingdong He, Jinlong Peng, Zhengkai Jiang, Xiaobin Hu, Jiangning Zhang, Qiang Nie, Yabiao Wang, Chengjie Wang:
PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models. CoRR abs/2403.06403 (2024) - [i27]Siyuan Huang, Iaroslav Ponomarenko, Zhengkai Jiang, Xiaoqi Li, Xiaobin Hu, Peng Gao, Hongsheng Li, Hao Dong:
ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models. CoRR abs/2403.11289 (2024) - [i26]Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. CoRR abs/2403.11561 (2024) - [i25]Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu:
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CoRR abs/2403.16002 (2024) - [i24]Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Chen Lin, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xi, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, He Tong, Jingwen He, Yu Qiao, Hongsheng Li:
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. CoRR abs/2405.05945 (2024) - [i23]Yizhang Jin, Jian Li, Yexin Liu, Tianjun Gu, Kai Wu, Zhengkai Jiang, Muyang He, Bo Zhao, Xin Tan, Zhenye Gan, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Efficient Multimodal Large Language Models: A Survey. CoRR abs/2405.10739 (2024) - [i22]Sihe Zhang, Qingdong He, Jinlong Peng, Yuxi Li, Zhengkai Jiang, Jiafu Wu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval. CoRR abs/2405.17718 (2024) - [i21]Qilin Wang, Zhengkai Jiang, Chengming Xu, Jiangning Zhang, Yabiao Wang, Xinyi Zhang, Yun Cao, Weijian Cao, Chengjie Wang, Yanwei Fu:
VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animation. CoRR abs/2405.18156 (2024) - [i20]Kai Wu, Boyuan Jiang, Zhengkai Jiang, Qingdong He, Donghao Luo, Shengzhi Wang, Qingwen Liu, Chengjie Wang:
NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models. CoRR abs/2405.20081 (2024) - [i19]Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu:
MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. CoRR abs/2407.19976 (2024) - 2023
- [c12]Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Attention-based Models. ICCV 2023: 1389-1400 - [i18]Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Neural Models. CoRR abs/2301.01146 (2023) - [i17]Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, Hongsheng Li:
Personalize Segment Anything Model with One Shot. CoRR abs/2305.03048 (2023) - [i16]Siyuan Huang, Zhengkai Jiang, Hao Dong, Yu Qiao, Peng Gao, Hongsheng Li:
Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model. CoRR abs/2305.11176 (2023) - [i15]Zhengkai Jiang, Liang Liu, Jiangning Zhang, Yabiao Wang, Mingang Chen, Chengjie Wang:
Dual Path Transformer with Partition Attention. CoRR abs/2305.14768 (2023) - [i14]Xiaowei Chi, Yijiang Liu, Zhengkai Jiang, Rongyu Zhang, Ziyi Lin, Renrui Zhang, Peng Gao, Chaoyou Fu, Shanghang Zhang, Qifeng Liu, Yike Guo:
ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model. CoRR abs/2311.17963 (2023) - [i13]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation. CoRR abs/2312.09595 (2023) - 2022
- [c11]Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai:
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation. AAAI 2022: 2884-2892 - [c10]Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada:
You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction. BMVC 2022: 238 - [c9]Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang
, Ying Tai, Chengjie Wang:
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation. ECCV (34) 2022: 36-54 - [c8]Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang:
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. ECCV Workshops (4) 2022: 539-556 - [i12]Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang:
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. CoRR abs/2202.03747 (2022) - [i11]Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada:
Illumination Adaptive Transformer. CoRR abs/2205.14871 (2022) - [i10]Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang:
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation. CoRR abs/2207.06654 (2022) - 2021
- [c7]Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu:
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. ICCV 2021: 3345-3354 - [c6]Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin:
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking. IJCAI 2021: 952-958 - [i9]Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin:
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking. CoRR abs/2105.11237 (2021) - [i8]Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu:
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. CoRR abs/2107.12746 (2021) - 2020
- [c5]Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning Where to Focus for Efficient Video Object Detection. ECCV (16) 2020: 18-34 - [c4]Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng:
Rethinking Learnable Tree Filter for Generic Feature Transform. NeurIPS 2020 - [c3]Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng:
Fine-Grained Dynamic Head for Object Detection. NeurIPS 2020 - [i7]Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun:
AutoAssign: Differentiable Label Assignment for Dense Object Detection. CoRR abs/2007.03496 (2020) - [i6]Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su:
Contrastive Visual-Linguistic Pretraining. CoRR abs/2007.13135 (2020) - [i5]Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng:
Rethinking Learnable Tree Filter for Generic Feature Transform. CoRR abs/2012.03482 (2020) - [i4]Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng:
Fine-Grained Dynamic Head for Object Detection. CoRR abs/2012.03519 (2020)
2010 – 2019
- 2019
- [c2]Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan:
Video Object Detection with Locally-Weighted Deformable Neighbors. AAAI 2019: 8529-8536 - [c1]Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li:
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. CVPR 2019: 6639-6648 - [i3]Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu:
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection. CoRR abs/1908.09492 (2019) - [i2]Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning Motion Priors for Efficient Video Object Detection. CoRR abs/1911.05253 (2019) - 2018
- [i1]Peng Gao, Hongsheng Li, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven C. H. Hoi, Xiaogang Wang:
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering. CoRR abs/1812.05252 (2018)
Coauthor Index
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last updated on 2024-08-22 20:47 CEST by the dblp team
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