Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition. - Xichen Pan; Peiyu Chen; Yichen Gong; Helong Zhou; Xinbing Wang; Zhouhan Lin (ACL (1), 2022)

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation. - Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu (CoRR, 2023)

Image Sculpting: Precise Object Editing with 3D Geometry Control. - Jiraphon Yenphraphai; Xichen Pan; Sainan Liu; Daniele Panozzo; Saining Xie (CVPR, 2024)

Kosmos-G: Generating Images in Context with Multimodal Large Language Models. - Xichen Pan; Li Dong 004; Shaohan Huang; Zhiliang Peng; Wenhu Chen; Furu Wei (ICLR, 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; et al. (NeurIPS, 2024)

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. - Xichen Pan; Pengda Qin; Yuhong Li; Hui Xue 001; Wenhu Chen (WACV, 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; et al. (CoRR, 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)

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 (CoRR, 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, 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 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 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, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)