Jindong Jiang

According to our database, Jindong Jiang authored at least 21 papers between 2017 and 2026.

Collaborative distances:

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

2026

Recursive Multi-Agent Systems.

Xiyuan Yang, Jiaru Zou, Rui Pan, Ruizhong Qiu, Pan Lu, Shizhe Diao, Jindong Jiang, Hanghang Tong, Tong Zhang, Markus J. Buehler, Jingrui He, James Zou

CoRR, April, 2026

Stateful Token Reduction for Long-Video Hybrid VLMs.

Jindong Jiang, Amala Sanjay Deshmukh, Kateryna Chumachenko, Karan Sapra, Zhiding Yu, Guilin Liu, Andrew Tao, Pavlo Molchanov, Jan Kautz, Wonmin Byeon

CoRR, March, 2026

2025

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models.

Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu

CoRR, April, 2025

Token-Efficient Long Video Understanding for Multimodal LLMs.

Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon

CoRR, March, 2025

Streamline automated biomedical discoveries with agentic bioinformatics.

Juexiao Zhou, Jindong Jiang, Zhongyi Han, Zijian Wang, Xin Gao

Briefings Bioinform., 2025

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs.

Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

<i>PatentAgent</i>: Intelligent Agent for Automated Pharmaceutical Patent Analysis.

Xin Wang, Yifan Zhang, Xiaojing Zhang, Longhui Yu, Xinna Lin, Jindong Jiang, Bin Ma, Kaicheng Yu

CoRR, 2024

SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models.

Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan

CoRR, 2024

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance.

Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Slot State Space Models.

Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models.

Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan

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

2023

Improving Tuning-Free Real Image Editing with Proximal Guidance.

Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas

CoRR, 2023

Object-Centric Slot Diffusion.

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

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

2022

Effect of Face Blurring on Human Pose Estimation: Ensuring Subject Privacy for Medical and Occupational Health Applications.

Jindong Jiang, Wafa Skalli, Ali Siadat, Laurent Gajny

Sensors, 2022

2020

Generative Neurosymbolic Machines.

Jindong Jiang, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Generative Imagination in Object-Centric World Models.

Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn

Proceedings of the 37th International Conference on Machine Learning, 2020

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.

Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn

Proceedings of the 8th International Conference on Learning Representations, 2020

SCALOR: Generative World Models with Scalable Object Representations.

Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Scalable Object-Oriented Sequential Generative Models.

Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn

CoRR, 2019

2018

RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation.

Jindong Jiang, Lunan Zheng, Fei Luo, Zhijun Zhang

CoRR, 2018

2017

Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation.

Jindong Jiang, Zhijun Zhang, Yongqian Huang, Lunan Zheng

CoRR, 2017