Peng Jin

According to our database, Peng Jin authored at least 39 papers between 2022 and 2025.

Collaborative distances:

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

2025

Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection.

Kaiqing Lin, Zhiyuan Yan, Ruoxin Chen, Junyan Ye, Ke-Yue Zhang, Yue Zhou, Peng Jin, Bin Li, Taiping Yao, Shouhong Ding

CoRR, September, 2025

Hierarchical Banzhaf Interaction for General Video-Language Representation Learning.

Peng Jin, Hao Li, Li Yuan, Shuicheng Yan, Jie Chen

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation.

Hongyu Zhang, Yufan Deng, Shenghai Yuan, Peng Jin, Zesen Cheng, Yian Zhao, Chang Liu, Jie Chen

CoRR, March, 2025

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

Yuwei Niu, Munan Ning, Mengren Zheng, Bin Lin, Peng Jin, Jiaqi Liao, Kun-Peng Ning, Bin Zhu, Li Yuan

CoRR, March, 2025

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection.

Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MoH: Multi-Head Attention as Mixture-of-Head Attention.

Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts.

Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation.

Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hierarchical Banzhaf Interaction for General Video-Language Representation Learning.

Peng Jin, Hao Li, Li Yuan, Shuicheng Yan, Jie Chen

CoRR, 2024

Next Patch Prediction for Autoregressive Visual Generation.

Yatian Pang, Peng Jin, Shuo Yang, Bin Lin, Bin Zhu, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan

CoRR, 2024

Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection.

Zhiyuan Yan, Jiangming Wang, Zhendong Wang, Peng Jin, Ke-Yue Zhang, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan

CoRR, 2024

MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval.

Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang

CoRR, 2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation.

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

CoRR, 2024

LLMBind: A Unified Modality-Task Integration Framework.

Bin Zhu, Peng Jin, Munan Ning, Bin Lin, Jinfa Huang, Qi Song, Jiaxi Cui, Junwu Zhang, Zhenyu Tang, Mingjun Pan, Xing Zhou, Li Yuan

CoRR, 2024

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Bin Lin, Zhenyu Tang, Yang Ye, Jiaxi Cui, Bin Zhu, Peng Jin, Junwu Zhang, Munan Ning, Li Yuan

CoRR, 2024

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation.

Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen

CoRR, 2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.

Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan

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

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Repaint123: Fast and High-Quality One Image to 3D Generation with Progressive Controllable Repainting.

Junwu Zhang, Zhenyu Tang, Yatian Pang, Xinhua Cheng, Peng Jin, Yida Wei, Xing Zhou, Munan Ning, Li Yuan

Proceedings of the Computer Vision - ECCV 2024, 2024

FreestyleRet: Retrieving Images from Style-Diversified Queries.

Hao Li, Yanhao Jia, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan

Proceedings of the Computer Vision - ECCV 2024, 2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation.

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding.

Peng Jin, Ryuichi Takanobu, Wancai Zhang, Xiaochun Cao, Li Yuan

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

RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter.

Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li

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

Parallel Vertex Diffusion for Unified Visual Grounding.

Zesen Cheng, Kehan Li, Peng Jin, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

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

2023

Weakly-Supervised 3D Spatial Reasoning for Text-Based Visual Question Answering.

Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen

IEEE Trans. Image Process., 2023

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting.

Junwu Zhang, Zhenyu Tang, Yatian Pang, Xinhua Cheng, Peng Jin, Yida Wei, Munan Ning, Li Yuan

CoRR, 2023

FreestyleRet: Retrieving Images from Style-Diversified Queries.

Hao Li, Curise Jia, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan

CoRR, 2023

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding.

Peng Jin, Ryuichi Takanobu, Caiwan Zhang, Xiaochun Cao, Li Yuan

CoRR, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.

Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Yang Wei, Li Yuan

CoRR, 2023

Parallel Vertex Diffusion for Unified Visual Grounding.

Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

CoRR, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.

Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan

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

TG-VQA: Ternary Game of Video Question Answering.

Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment.

Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation.

Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation.

Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model.

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning.

Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

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

2022

Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering.

Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen

CoRR, 2022

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations.

Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

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