Xichen Pan

According to our database, Xichen Pan authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

BLIP3o-NEXT: Next Frontier of Native Image Generation.

Jiuhai Chen, Le Xue, Zhiyang Xu, Xichen Pan, Shusheng Yang, Can Qin, An Yan, Honglu Zhou, Zeyuan Chen, Lifu Huang, Tianyi Zhou, Junnan Li, Silvio Savarese, Caiming Xiong, Ran Xu

CoRR, October, 2025

Think Then Embed: Generative Context Improves Multimodal Embedding.

Xuanming Cui, Jianpeng Cheng, Hong-you Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan

CoRR, October, 2025

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation.

Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie

CoRR, June, 2025

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis.

Bingda Tang, Boyang Zheng, Xichen Pan, Sayak Paul, Saining Xie

CoRR, May, 2025

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

Jiuhai Chen, Zhiyang Xu, Xichen Pan, Yushi Hu, Can Qin, Tom Goldstein, Lifu Huang, Tianyi Zhou, Saining Xie, Silvio Savarese, Le Xue, Caiming Xiong, Ran Xu

CoRR, May, 2025

Transfer between Modalities with MetaQueries.

Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie

CoRR, April, 2025

PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop.

Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie

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

2024

Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation.

Guanfang Dong, Chenqiu Zhao, Xichen Pan, Anup Basu

IEEE Trans. Image Process., 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie

CoRR, 2024

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models.

Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen

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

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Iyer, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Sculpting: Precise Object Editing with 3D Geometry Control.

Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie

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

2023

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation.

Guanfang Dong, Chenqiu Zhao, Xichen Pan, Anup Basu

CoRR, 2023

2022

Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition.

Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022