Bo Li

Principal Researcher, Camera Research Department, vivo · Head of vivo BlueImage Lab

I lead research at vivo BlueImage Lab, where we work on mobile imaging, computational photography, content generation, visual agents, and foundation models. My current work connects academic research in vision and generative models with camera, album, and on-device imaging systems.

Before vivo, I was a researcher at Tencent Youtu Lab. I received my B.Sc. and Ph.D. degrees from Nanjing University. My research has appeared in CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, IJCV, TPAMI, AAAI, and ACM Multimedia, spanning AI imaging, dense prediction, camouflaged object detection, federated learning, adversarial robustness, diffusion models, and multimodal vision.

I also serve the research community as a Senior Area Chair for NeurIPS and Area Chair for ICLR. Public profiles: Google Scholar, OpenReview, DBLP, X.

news

Eight papers were accepted to ECCV 2026, including the Oral paper EditHF-1M.

REPA-FPO was accepted by TMLR.

One paper, MagicBokeh, was presented as a CVPR 2026 Oral paper and listed as a Best Paper Finalist by public paper indexes.

B-Spar was accepted to ICML 2026.

Four papers were accepted to ICLR 2026, covering reference-based super-resolution, video refocusing, multi-event video generation, and HDR 4D Gaussian Splatting.

BlueImage Lab had seven papers across NeurIPS, ICCV, ICML, ICLR, and AAAI, including two NeurIPS papers and two ICCV papers.

Representative 2024 work included three CVPR papers, three ECCV papers, two ACM Multimedia papers, plus IJCV and NeurIPS work.

selected publications

all publications

vivo BlueImage Lab

The lab's public research agenda covers mobile imaging, computational photography, content generation, agents, and large models. Recent open projects include MagicBokeh, AdaRefSR, Any-to-Bokeh, SDMatte, PPC, and SmartPhotoCrafter.