Jiaqi Wang

According to our database, Jiaqi Wang authored at least 45 papers between 2018 and 2024.

Collaborative distances:

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

2024

Long-CLIP: Unlocking the Long-Text Capability of CLIP.

Beichen Zhang, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Jiaqi Wang

CoRR, 2024

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition.

Ziyu Liu, Zeyi Sun, Yuhang Zang, Wei Li, Pan Zhang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

CoRR, 2024

SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation.

Shuangrui Ding, Zihan Liu, Xiaoyi Dong, Pan Zhang, Rui Qian, Conghui He, Dahua Lin, Jiaqi Wang

CoRR, 2024

DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models.

Yuhang Cao, Pan Zhang, Xiaoyi Dong, Dahua Lin, Jiaqi Wang

CoRR, 2024

SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization.

Ying Jin, Jiaqi Wang, Dahua Lin

CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

VIGC: Visual Instruction Generation and Correction.

Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OneLLM: One Framework to Align All Modalities with Language.

Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue

CoRR, 2023

GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

Zhangyang Qi, Ye Fang, Zeyi Sun, Xiaoyang Wu, Tong Wu, Jiaqi Wang, Dahua Lin, Hengshuang Zhao

CoRR, 2023

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Qidong Huang, Xiaoyi Dong, Pan Zhang, Bin Wang, Conghui He, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu

CoRR, 2023

Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.

Zhiyuan Zhao, Bin Wang, Linke Ouyang, Xiaoyi Dong, Jiaqi Wang, Conghui He

CoRR, 2023

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Conghui He, Jiaqi Wang, Feng Zhao, Dahua Lin

CoRR, 2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Pan Zhang, Xiaoyi Dong, Bin Wang, Yuhang Cao, Chao Xu, Linke Ouyang, Zhiyuan Zhao, Shuangrui Ding, Songyang Zhang, Haodong Duan, Wenwei Zhang, Hang Yan, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2023

MLLM-DataEngine: An Iterative Refinement Approach for MLLM.

Zhiyuan Zhao, Linke Ouyang, Bin Wang, Siyuan Huang, Pan Zhang, Xiaoyi Dong, Jiaqi Wang, Conghui He

CoRR, 2023

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models.

Conghui He, Zhenjiang Jin, Chao Xu, Jiantao Qiu, Bin Wang, Wei Li, Hang Yan, Jiaqi Wang, Dahua Lin

CoRR, 2023

MMBench: Is Your Multi-modal Model an All-around Player?

Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

CoRR, 2023

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection.

Zhangyang Qi, Jiaqi Wang, Xiaoyang Wu, Hengshuang Zhao

CoRR, 2023

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.

Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang

CoRR, 2023

V3Det: Vast Vocabulary Visual Detection Dataset.

Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin

CoRR, 2023

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image.

Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xingang Pan, Jiaqi Wang, Dahua Lin, Ziwei Liu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization.

Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang

Proceedings of the International Conference on Machine Learning, 2023

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction.

Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dense Distinct Query for End-to-End Object Detection.

Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, Kai Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation.

Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Level Logit Distillation.

Ying Jin, Jiaqi Wang, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences.

Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation.

Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CARAFE++: Unified Content-Aware ReAssembly of FEatures.

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

CoRR, 2022

What Are Expected Queries in End-to-End Object Detection?

Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Kai Chen

CoRR, 2022

MINI: Mining Implicit Novel Instances for Few-Shot Object Detection.

Yuhang Cao, Jiaqi Wang, Yiqi Lin, Dahua Lin

CoRR, 2022

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant.

Ying Jin, Jiaqi Wang, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PYSKL: Towards Good Practices for Skeleton Action Recognition.

Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation.

Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Texture Memory-Augmented Deep Patch-Based Image Inpainting.

Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

IEEE Trans. Image Process., 2021

Few-Shot Object Detection via Association and DIscrimination.

Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MMFashion: An Open-Source Toolbox for Visual Fashion Analysis.

Xin Liu, Jiancheng Li, Jiaqi Wang, Ziwei Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Seesaw Loss for Long-Tailed Instance Segmentation.

Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Side-Aware Boundary Localization for More Precise Object Detection.

Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.

Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

CoRR, 2019

CARAFE: Content-Aware ReAssembly of FEatures.

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Region Proposal by Guided Anchoring.

Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid Task Cascade for Instance Segmentation.

Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Optimizing Video Object Detection via a Scale-Time Lattice.

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018